AWS Reference Architectures

Table of Contents

1. Electric Vehicle Charging OCPP Handler   drill aws_reference_architectures aws architecture

This reference architecture demonstrates how to build a highly-scalable, low-latency EV charge point operator system using AWS services like AWS IoT Core and AWS Lambda.HTML | PDF | PPTAutomotive

  • 2023-11-17T23:41:15+0000

2. Traffic Segmentation Options in AWS Direct Connect :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Traffic segmentation options in AWS Direct Connect include using several private VIFs in the VPC or Direct Connect Gateway, using AWS Transit Gateway Connect attachments over Transit VIF, and using AWS Site-to-Site VPN connections over transit VIF. HTML | PDF | PPT Networking & Content Delivery

  • 2022-04-07T04:09:59+0000

2.1. Answer

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Figure 1: Traffic Segmentation Options in AWS Direct Connect

3. Security-rich API Management Using IBM API Connect on AWS   drill aws_reference_architectures aws architecture

Take advantage of agility, security, and elasticity to create, manage, secure, and socialize all of your APIs across the cloud in order to power digital applications with a market-leading and scalable API management solution.HTML | PDF | PPTGeneral Enterprise

  • 2023-10-31T16:12:21+0000

4. Kelvin AI on AWS :drill:aws_reference_architectures:aws:architecture:ai-ml:

Kelvin’s solution, built on AWS Cloud, allows enterprises to scale faster, optimize their industrial operations in real time, and accelerate their digital transformation initiatives.HTML | PDF | PPTMachine Learning & AI | Manufacturing

  • 2023-10-24T23:46:06+0000

5. Amazon VPC Lattice Reference Architectures :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Amazon VPC Lattice is an application layer service that consistently connects, monitors, and secures communications between your services. This series shows different connectivity patterns for multi-AWS account environments. HTML | PDF | PPT Networking & Content Delivery

  • 2023-04-26T03:54:32+0000

5.1. Answer

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Figure 2: Amazon VPC Lattice Reference Architectures

6. Detect Malware Threats Using AWS Transfer Family   drill aws_reference_architectures aws architecture migration

Use this architecture to securely share files over SFTP, FTP, and FTPS within many business-to-business workflows across various industries.HTML | PDF | PPTMigration

  • 2023-10-18T18:48:48+0000

7. Protegrity Data Protection for Amazon S3 and Snowflake   drill aws_reference_architectures aws architecture analytics

This architecture shows how Protegrity on AWS can be used to protect sensitive data in Amazon S3 and then show the same data as clear text based on permissions from Snowflake.HTML | PDF | PPTAnalytics

  • 2023-10-12T19:57:59+0000

8. Powering Multiple Contact Centers with GenAI Using Amazon Bedrock :drill:aws_reference_architectures:aws:architecture:ai-ml:

This architecture you consolidate contact center support to a single AI/ML stack, powering multiple contact centers by a single large language model (LLM) using Amazon Bedrock.HTML | PDF | PPTMachine Learning & AI

  • 2023-10-25T18:41:38+0000

9. Sports Betting Architecture on AWS   drill aws_reference_architectures aws architecture

This reference architecture describes how sports betting application can be deployed to address different regulatory requirements. And how AWS Local Zones and AWS Outposts and hybrid scenarios can help you address those challenges.HTML | PDF | PPTMedia & Entertainment

  • 2023-11-08T16:05:06+0000

10. Industrial Data Lake for Predictive Maintenance using Amazon Monitron and Amazon Kinesis :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Build a data lake using IoT sensors, real-time data streams, alerts, visualization, and integrated workflow with Enterprise Resource Planning (ERP) to analyze factory data for predictive maintenance and improve equipment uptime.PDFInternet of Things | Machine Learning & AI | Manufacturing

  • 2022-09-28T16:43:54+0000

10.1. Answer

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Figure 3: Industrial Data Lake for Predictive Maintenance using Amazon Monitron and Amazon Kinesis

11. AWS Managed Services (AMS) for Operational Excellence :drill:aws_reference_architectures:aws:architecture:mgmt-govern:

Learn how AMS provides proactive, preventative, and detective capabilities that raises the operational bar and helps reduce risk without constraining agility, letting you focus on innovation.PDFManagement & Governance

  • 2022-09-28T01:57:55+0000

11.1. Answer

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Figure 4: AWS Managed Services (AMS) for Operational Excellence

12. Fleet Management Solution for Connected Farm   drill aws_reference_architectures aws architecture

Use this custom reference architecture to create an intelligent fleet management solution for farming, using data from IoT sensors and cameras at strategic locations and in assets such as tractors and combine harvesters.HTML | PDF | PPTAgriculture

  • 2022-09-22T01:09:09+0000

13. Server-Side Rendering Micro-Frontends in AWS   drill aws_reference_architectures aws architecture

Embrace distributed systems on the frontend using micro-frontends. This approach shows how to implement server-side rendering micro-frontends in AWS using a serverless approach.PDFServerless

  • 2022-09-22T01:07:47+0000

13.1. Answer

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Figure 5: Server-Side Rendering Micro-Frontends in AWS

14. Enhance Existing ML Lifecycles with Amazon SageMaker Training and AWS Fargate :drill:aws_reference_architectures:aws:architecture:ai-ml:

This reference architecture illustrates how to integrate Amazon SageMaker with other compute services when you do not use SageMaker for your full ML lifecycle. AWS Fargate lets you maintain a serverless approach while enabling a higher memory model and concurrency limits with no changes to your code.PDFMachine Learning & AI

  • 2022-09-22T01:11:08+0000

14.1. Answer

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Figure 6: Enhance Existing ML Lifecycles with Amazon SageMaker Training and AWS Fargate

15. Patient Outcome Prediction - POP :drill:aws_reference_architectures:aws:architecture:ai-ml:

This architecture diagram uses machine learning (ML) on customer health patient data to train models to predict medical patient outcomes such as disease progression, hospital readmission probability, and more.PDFMachine Learning & AI

  • 2022-09-22T01:10:16+0000

15.1. Answer

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Figure 7: Patient Outcome Prediction - POP

16. Machine Learning Enabled Predictive Maintenance   drill aws_reference_architectures aws architecture

Sucker rod pumping systems are the most widely applied artificial lift equipment in the oil and gas industry. Condition-based maintenance with near real-time inference results and notifications are necessary for the best maintenance of applications and equipment. PDF Oil & Gas | Energy

  • 2022-09-21T15:27:33+0000

16.1. Answer

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Figure 8: Machine Learning Enabled Predictive Maintenance

17. Well Log Facies Classification using Machine Learning   drill aws_reference_architectures aws architecture

This solution incorporates well logs from the corporate data center and applies a low-code ML model on the data using Amazon SageMaker Autopilot to obtain a facies classification at each well log’s measured depth. PDF Oil & Gas | Energy

  • 2022-09-19T22:23:30+0000

17.1. Answer

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Figure 9: Well Log Facies Classification using Machine Learning

18. Hybrid Connectivity Architectures to AWS Transit Gateway :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

This reference architecture series shows you how to integrate your on-premises infrastructure with your AWS networking infrastructure using AWS Transit Gateway, AWS Site-to-Site VPN, and AWS Direct Connect.PDFNetworking & Content Delivery

  • 2022-09-01T16:15:04+0000

18.1. Answer

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Figure 10: Hybrid Connectivity Architectures to AWS Transit Gateway

19. Paginated Search with Purpose Built Databases   drill aws_reference_architectures aws architecture databases

This reference architecture shows how create a searchable, paginated list on domain aggregates from purpose-built databases with a step transformation and SQL queries. PDF Databases

  • 2022-09-13T16:35:11+0000

19.1. Answer

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Figure 11: Paginated Search with Purpose Built Databases

20. Data Platform for Ports and Inland Logistics Facilities :drill:aws_reference_architectures:aws:architecture:analytics:iot:ai-ml:

Support global port terminals and inland logistics facilities operators in eliminating data siloes and building a scalable, low-cost, low-maintenance data platform that provides near-real-time, in-depth visibility into operational and financial metrics.PDFAnalytics | Internet of Things | Machine Learning & AI | Transport & Logistics

  • 2020-06-09T20:08:11+0000

20.1. Answer

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Figure 12: Data Platform for Ports and Inland Logistics Facilities

21. Omni-channel Customer Engagement for Airlines :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

This reference architecture provides a unified user interface for customer service teams (both centralized and on location) at Travel and Hospitality (T&H) companies to provide personalized customer service across all channels at every stage of their customer's journey.PDFNetworking & Content Delivery | Hospitality | Travel

  • 2022-08-21T00:44:34+0000

21.1. Answer

guidance-for-omni-channel-customer-engagement-for-airlines-ra.png

Figure 13: Omni-channel Customer Engagement for Airlines

22. Omni-channel Customer Engagement for Lodging :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

This reference architecture provides a unified user interface for customer service teams (both centralized and on location) at Travel and Hospitality (T&H) companies to provide personalized customer service across all channels, at every stage of their customer's journey.PDFNetworking & Content Delivery | Hospitality | Travel

  • 2022-08-21T00:45:42+0000

22.1. Answer

guidance-for-omni-channel-customer-engagement-for-lodging-ra.png

Figure 14: Omni-channel Customer Engagement for Lodging

23. Embedded ML models using Amazon SageMaker on AWS Marketplace   drill aws_reference_architectures aws architecture

This architecture creates an environment where a buyer can consume a seller’s application into their own virtual private cloud (VPC), protecting the buyer’s data privacy while also protecting the seller’s application intellectual property through isolated network access controls and subscription authorization.HTML | PDF | PPTDigital Marketing

  • 2022-08-18T18:49:23+0000

24. Moodle Reference Architecture   drill aws_reference_architectures aws architecture

Moodle learning management system (LMS) on AWS can be deployed using architecture and can scale up on demand.HTML | PDF | PPTEducation

  • 2022-08-12T16:05:18+0000

25. Data Protection Reference Architectures with AWS Backup   drill aws_reference_architectures aws architecture storage

Use AWS Backup to protect your cloud-native and hybrid workloads in the cloud. This reference architecture series shows how to approach multiple scenarios to incorporate best practices when deploying a data protection strategy.PDFStorage

  • 2022-08-04T22:48:49+0000

25.1. Answer

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Figure 15: Data Protection Reference Architectures with AWS Backup

26. Life Sciences Data Collection, Storage, and Processing   drill aws_reference_architectures aws architecture

This architecture diagram helps you learn how to transfer life sciences data to the cloud and provide data access using Amazon Web Services (AWS). PDF Life Sciences

  • 2022-08-01T23:30:55+0000

26.1. Answer

life-sciences-data-collection-storage-processing-ra.png

Figure 16: Life Sciences Data Collection, Storage, and Processing

27. Distributed Inspection Architectures with Gateway Load Balancer :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Use AWS Gateway Load Balancer to inspect your traffic in a distributed fashion using the same backend security appliances for several VPCs.PDFNetworking & Content Delivery

  • 2022-07-28T21:59:17+0000

27.1. Answer

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Figure 17: Distributed Inspection Architectures with Gateway Load Balancer

28. Securing Custom Origins with AWS WAF :drill:aws_reference_architectures:aws:architecture:security-identity-compliance:

This architecture shows how to protect any endpoint against common web vulnerabilities with AWS WAF by leveraging custom origins and custom secret headers in Amazon CloudFront.PDFSecurity, Identity, & Compliance

  • 2022-07-26T18:16:35+0000

28.1. Answer

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Figure 18: Securing Custom Origins with AWS WAF

29. Advanced Distribution Management System (ADMS) on AWS   drill aws_reference_architectures aws architecture

Deploy a fully automated, resilient, and highly available advanced distribution management system (ADMS) on AWS Outposts to optimize performance of complex electricity distribution networks. PDF Power & Utilities

  • 2022-07-21T19:28:31+0000

29.1. Answer

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Figure 19: Advanced Distribution Management System (ADMS) on AWS

30. Dual Stack and IPv6-only Amazon VPC Reference Architectures :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Reference architecture series for dual stack IPv6 AWS and hybrid networks.PDFNetworking & Content Delivery

  • 2021-10-22T00:13:05+0000

30.1. Answer

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Figure 20: Dual Stack and IPv6-only Amazon VPC Reference Architectures

31. Automated Time-series Forecasting with Amazon Forecast :drill:aws_reference_architectures:aws:architecture:ai-ml:

This architecture helps AWS customers use Amazon Forecast to build end-to-end managed time series workflows that transcend use case and industry. PDF Machine Learning & AI

  • 2022-07-21T19:28:33+0000

31.1. Answer

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Figure 21: Automated Time-series Forecasting with Amazon Forecast

32. o9 Demand Planning Solution for CPG Industry   drill aws_reference_architectures aws architecture

This reference architecture helps you review architectural options for ingesting data and using AWS services in an o9 demand planning solution for the consumer packaged goods (CPG) industry. PDF Transport & Logistics

  • 2022-07-20T18:32:00+0000

32.1. Answer

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Figure 22: o9 Demand Planning Solution for CPG Industry

33. Livestock Counting at the Edge :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Use Amazon SageMakerand AWS IoT Greengrass to build and deploy a livestock counting application at the edge.HTML | PDF | PPTInternet of Things | Machine Learning & AI | Agriculture

  • 2020-10-14T22:27:07+0000

34. Multi-Region CQRS for On-premises Monoliths   drill aws_reference_architectures aws architecture migration

Expand your on-premises transactional monolith to the cloud using the AWS global network. Reduce latency for your end-users around the world, while maintaining the transactional isolation of your monolith and on-premises services, using the Command Query Responsibility Segregation (CQRS) and the read-local write-global architectural patterns.PDFMigration

  • 2022-07-05T15:50:00+0000

34.1. Answer

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Figure 23: Multi-Region CQRS for On-premises Monoliths

35. Replaying Parallel Requests to Break a Monolith   drill aws_reference_architectures aws architecture migration

Use this architecture to break your monolith with confidence by setting up a parallel run strategy combined with the strangler fig pattern. First proxy the methods to be replaced with a microservice, storing a copy of user requests and monolith responses in a time-series database. Then replay the requests on your new microservice to compare the responses between the legacy monolith and the replacement microservice.PDFMigration

  • 2022-06-28T21:51:45+0000

35.1. Answer

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Figure 24: Replaying Parallel Requests to Break a Monolith

36. AI-Enabled Audio Insight Processing Pipeline :drill:aws_reference_architectures:aws:architecture:ai-ml:

The following diagram shows how you can use API-driven artificial intelligence/machine learning (AI/ML) services such as Amazon Transcribe, Amazon Translate, and Amazon Comprehend to automatically process audio files via simple API integrations. The architecture shows you how to upload raw audio and create a pipeline for multi-language insights through a serverless architecture. The pipeline integrates with the Amazon Kendra smart search functionality to assist in a natural language query of audio content.PDFMachine Learning & AI

  • 2022-06-20T18:50:54+0000

36.1. Answer

graph TD
    Users((Users upload)) -->|1| s3:raw[S3 raw audio]
    s3:raw -->|2| lambda:transcribe[Lambda transcribe audio job]
    lambda:transcribe -->|3| transcribe:service[Amazon Transcribe]
    transcribe:service -->|4| s3:transcribed[S3 transcribed audio]
    s3:transcribed -->|5| lambda:translate[Lambda translate text job]
    lambda:translate -->|6| translate:service[Amazon Translate]
    translate:service -->|7| s3:translated[S3 translated text]
    s3:translated -->|8| lambda:insights[Lambda text insights job]
    lambda:insights -->|9| comprehend:service[Amazon Comprehend]
    
    lambda:transcribe -->|4| dynamodb:metadata[DynamoDB]
    lambda:translate -->|7| dynamodb:metadata
    lambda:insights -->|10| dynamodb:metadata
    
    Users2((Users query)) -->|11| apigateway:get[API Gateway GET match API]
    apigateway:get -->|12| lambda:match[Lambda GET match function]
    lambda:match -->|13| kendra:search[Amazon Kendra]
    kendra:search --> s3:translated
    lambda:match --> dynamodb:metadata
    
    subgraph AWS Cloud
        s3:raw
        lambda:transcribe
        transcribe:service
        s3:transcribed
        lambda:translate
        translate:service
        s3:translated
        lambda:insights
        comprehend:service
        dynamodb:metadata
        apigateway:get
        lambda:match
        kendra:search
    end

ai-enabled-audio-insight-processing-pipeline-ra.png

Figure 25: AI-Enabled Audio Insight Processing Pipeline

37. Deploying 5G O-RAN RIC on AWS   drill aws_reference_architectures aws architecture

The Radio Access Network (RAN) Radio Intelligent Controller (RIC) in the Open Radio Access Network (O-RAN) specification optimizes control algorithms for load balancing, mobility management, multi-connection control, quality of experience (QoE) management, and network energy saving.PDFTelecommunications

  • 2022-06-15T21:24:26+0000

37.1. Answer

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Figure 26: Deploying 5G O-RAN RIC on AWS

38. Deploying 5G O-RAN NWDAF on AWS   drill aws_reference_architectures aws architecture

This reference architecture shows how NWDAF may be implemented on AWS to achieve the observed service experience data analytics use case defined in the 3GPP Technical Specification (3GPP TS 23.288).PDFTelecommunications

  • 2022-06-15T21:24:29+0000

38.1. Answer

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Figure 27: Deploying 5G O-RAN NWDAF on AWS

39. Hosting Magento eCommerce Software on AWS   drill aws_reference_architectures aws architecture

Architecture for deploying the open source or enterprise versions of Magento e-commerce software on AWS.PDFRetail

  • 2020-03-25T17:56:58+0000

39.1. Answer

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Figure 28: Hosting Magento eCommerce Software on AWS

40. Content Moderation and Compliance using AWS AI Services :drill:aws_reference_architectures:aws:architecture:ai-ml:

A serverless architecture to efficiently moderate the increasing influx of user-contributed content and sensitive information across a broad range of industries. PDF Machine Learning & AI

  • 2022-06-13T18:32:50+0000

40.1. Answer

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Figure 29: Content Moderation and Compliance using AWS AI Services

41. Centralizing VPC endpoints with AWS Transit Gateway :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Centralizing VPC endpoint access with AWS Transit Gateway, and accessing VPC endpoints from on-premises environments.PDFNetworking & Content Delivery

  • 2022-06-07T03:22:55+0000

41.1. Answer

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Figure 30: Centralizing VPC endpoints with AWS Transit Gateway

42. Parallel API Composition in AWS   drill aws_reference_architectures aws architecture

Use this architecture if you need to call multiple downstream API endpoints, in parallel or in sequence, to compose a single aggregated response to your clients. Build a generic, parameterized circuit-breaker workflow, and a custom workflow composition for each use case. Increase availability of circuit breaker-related data using CQRS to maintain a persistent eventually-consistent cache. PDF Serverless

  • 2022-05-26T03:24:58+0000

42.1. Answer

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Figure 31: Parallel API Composition in AWS

43. VMware Cloud on AWS Outposts with AWS Backup Integration   drill aws_reference_architectures aws architecture compute

This architecture enables the customer to protect Virtual Machines (VM) running on VMware Cloud on AWS Outposts using AWS Backup. PDF Compute

  • 2022-05-25T18:34:14+0000

43.1. Answer

vmware-cloud-on-aws-outposts-with-aws-backup-integration-ra.png

Figure 32: VMware Cloud on AWS Outposts with AWS Backup Integration

44. Serverless In-Game Screenshot Processor Pipeline for Game Studios   drill aws_reference_architectures aws architecture

This architecture helps you build a serverless image processing pipeline for your games that receives players’ in-game screenshots, checks them for profanity, performs transformation, and stores them in the cloud. The processed images can be retrieved for the players’ gallery by the game client and the community site.HTML | PDF | PPTGame Tech | Serverless

  • 2021-12-24T04:11:39+0000

45. BES Cyber System Information (BCSI) on AWS   drill aws_reference_architectures aws architecture

Build a secure extension of an Operations Technology (OT) data center into the cloud for ingestion of data from Bulk Electric System (BES) assets using the inherent security and isolation of an AWS VPC and other AWS services. Use AWS compute, analytics and AI/ML services, operating on a data lake, to conduct contingency analysis and planning, incident response, and advanced analytics. PDF Power & Utilities

  • 2022-05-23T18:10:03+0000

45.1. Answer

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Figure 33: BES Cyber System Information (BCSI) on AWS

46. Amazon Supply Chain Data Lake Solution   drill aws_reference_architectures aws architecture

Architectural options for ingesting data from supply chain planning, execution, real-time shipment status providers, as well as building cross-category scorecards using AWS services to create a supply chain data lake solution to help analysts and planners. PDF Transport & Logistics

  • 2022-05-24T01:48:38+0000

46.1. Answer

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Figure 34: Amazon Supply Chain Data Lake Solution

47. Data Escrow Environment Reference Architecture   drill aws_reference_architectures aws architecture analytics

Data Escrow is a common requirement in the advertising industry. Publishers need to offer a safe place for advertisers to securely store, share, and access data (using predefined permission models) to deliver cross platform insights. PDF Analytics

  • 2022-05-23T18:10:01+0000

47.1. Answer

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Figure 35: Data Escrow Environment Reference Architecture

48. Smart Grocery with Scan-and-Go, Computer Vision, and IoT capability :drill:aws_reference_architectures:aws:architecture:ai-ml:

This is a reference architecture for building a Smart Grocery with Scan-and-Go shopping; traditional point-of-sale (POS); self-checkout; IoT connectivity and orchestration around freezers and storage; and all-in computer vision using AWS Panorama for shelf stock intelligence, traffic patterns, queue analysis, and curbside fulfillment automation. PDF Machine Learning & AI | Retail

  • 2022-05-20T19:30:58+0000

48.1. Answer

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Figure 36: Smart Grocery with Scan-and-Go, Computer Vision, and IoT capability

50. Realtime Fraud Detection powered by Redis Enterprise Cloud   drill aws_reference_architectures aws architecture analytics

This reference architecture shows how Redis Enterprise Cloud on AWS can be used as both a primary database and as an online feature store for machine learning (ML) based fraud detection using both rule-based and ML-based approaches. PDF Analytics

  • 2022-05-16T23:42:33+0000

50.1. Answer

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Figure 38: Realtime Fraud Detection powered by Redis Enterprise Cloud

51. Multicast Reference Architectures with AWS Transit Gateway :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Use AWS Transit Gateway to build your multicast applications in AWS. This reference architecture series shows how to accompllish this in a single VPC, in a multi-VPC, and with a multi-account strategy, and also how to integrate external multicast services and AWS. PDF Networking & Content Delivery

  • 2022-03-16T15:44:45+0000

51.1. Answer

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Figure 39: Multicast Reference Architectures with AWS Transit Gateway

52. Multi-Region custom-domain AppSync proxy API   drill aws_reference_architectures aws architecture devtools

Reduce latency for end users while increasing your application’s availability by providing GraphQL API endpoints in multiple AWS Regions, with active-active real-time data synchronization supported by Amazon DynamoDB Global Tables. PDF Developer Tools

  • 2022-05-09T16:45:03+0000

52.1. Answer

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Figure 40: Multi-Region custom-domain AppSync proxy API

53. Backend for frontend using AppSync   drill aws_reference_architectures aws architecture devtools

This architecture describes how frontend client applications can apply the Backend for Frontend (BFF) pattern to load UI-ready data projections and refresh the UI with event-driven notifications. PDF Developer Tools

  • 2022-05-09T16:16:01+0000

53.1. Answer

graph TD
    Users((Users))
    subgraph AWS Cloud
        cognito:auth[Amazon Cognito authorization]
        appsync:api[AWS AppSync BFF API]
        dynamodb:projections[DynamoDB projection tables]
        lambda:query[Lambda query handler on UI load]
        lambda:stream[Lambda stream handler]
        dynamodb:stream[DynamoDB Stream]
        
        subgraph Microservices
            microservice:events[Microservice events]
            bff:consumers[BFF event consumers]
            app:sources[Application event sources]
        end
    end
    
    Users -->|2. initial query on UI load| cognito:auth
    Users -->|3. subscribe to changes| appsync:api
    Users -->|7. change notifications| Users
    
    cognito:auth --> appsync:api
    appsync:api -->|2. alternative direct query| dynamodb:projections
    
    lambda:query -->|2| cognito:auth
    lambda:query -->|1. projection updates pre UI load| dynamodb:projections
    
    microservice:events -->|1. microservice events pre UI load| bff:consumers
    app:sources -->|4. microservice events| bff:consumers
    
    bff:consumers -->|4. projection updates| dynamodb:projections
    
    dynamodb:projections --> dynamodb:stream
    dynamodb:stream -->|5. stream| lambda:stream
    lambda:stream -->|6| appsync:api
    

backend-for-frontend-using-appsync-ra.png

Figure 41: Backend for frontend using AppSync

54. HighByte Intelligence Hub Industrial DataOps on AWS   drill aws_reference_architectures aws architecture

Reference architecture to easily and quickly integrate industrial information across multiple systems and enable OT teams to model, transform, and share plant floor data with IT systems. PDF Consumer Packaged Goods (CPG) | Manufacturing

  • 2021-07-28T23:25:17+0000

54.1. Answer

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Figure 42: HighByte Intelligence Hub Industrial DataOps on AWS

55. Guidance for Driver-based Demand Planning with o9   drill aws_reference_architectures aws architecture

Architectural options for ingesting data and using AWS services in an o9 solution. PDF Manufacturing

  • 2022-06-22T15:23:59+0000

55.1. Answer

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Figure 43: Guidance for Driver-based Demand Planning with o9

56. Synchronous Data Mesh for GraphQL queries   drill aws_reference_architectures aws architecture databases

Use an API composition pattern to build a modern, distributed, and decentralized data architecture. It enables clients to query data where it lives, without first transporting it to a data lake or data warehouse. It also allows domain-specific teams to own and serve data as a product. PDF Databases

  • 2022-05-03T03:56:14+0000

56.1. Answer

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Figure 44: Synchronous Data Mesh for GraphQL queries

57. Cold Chain Logistics powered by Mendix and AWS   drill aws_reference_architectures aws architecture analytics iot

Build Mendix low-code applications that are seamlessly integrated with AWS services. Use Mendix connectors to connect with AWS IoT Core to monitor and control IoT Devices, Amazon Timestream to explore historical time-series data and many other services to process exceptions and notify users. Automate visual quality inspections and defect detection with Mendix's purpose-built connector for Amazon Rekognition. PDF Analytics | Internet of Things

  • 2022-04-29T22:10:19+0000

57.1. Answer

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Figure 45: Cold Chain Logistics powered by Mendix and AWS

58. Guidance for Contextual Intelligence Solution for Advertising :drill:aws_reference_architectures:aws:architecture:ai-ml:

An event-driven serverless architecture for contextual advertising based on a highly scalable and cost optimized design. The architecture enables customers to build a contextual intelligence solution using AWS AI and ML services to extract relevant metadata and map it to industry-standard taxonomy, which can be used to inform programmatic bidding. PDF Machine Learning & AI | Digital Marketing

  • 2022-07-05T20:44:07+0000

58.1. Answer

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Figure 46: Guidance for Contextual Intelligence Solution for Advertising

59. Backend for frontend using API Gateway :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Improve customer experience on your User Interfaces (UI) by providing real-time visual updates when your microservices raise events about mutations in domain aggregates. This architecture describes how frontend client applications can apply the Backend for Frontend (BFF) pattern to load UI-ready data projections and refresh the UI with event-driven notifications. PDF Networking & Content Delivery

  • 2022-04-28T18:51:06+0000

59.1. Answer

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Figure 47: Backend for frontend using API Gateway

60. Multi-region API Gateway with CloudFront   drill aws_reference_architectures aws architecture storage

This architecture helps reduce latency for end-users, while increasing an application’s availability by providing API Gateway endpoints in multiple AWS Regions. HTML | PDF | PPT Storage

  • 2022-04-25T16:01:05+0000

61. Multi-Region GraphQL API with CloudFront :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Reduce latency for end users while increasing your application’s availability by providing GraphQL API endpoints in multiple AWS Regions, with active/active real-time data synchronization supported by Amazon DynamoDB global tables. PDF Networking & Content Delivery

  • 2022-04-28T18:51:03+0000

61.1. Answer

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Figure 48: Multi-Region GraphQL API with CloudFront

62. Expose your Data Lake as a GraphQL API   drill aws_reference_architectures aws architecture analytics

Build a data lake using AWS Lake Formation, then share it as a self-documented GraphQL API, automatically built with a reactive CI/CD pipeline, allowing authorized external clients to query your data lake using GraphQL syntax over HTTPS. PDF Analytics

  • 2022-04-26T02:11:18+0000

62.1. Answer

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Figure 49: Expose your Data Lake as a GraphQL API

63. AMOS implementation on AWS :drill:aws_reference_architectures:aws:architecture:app-integration:

Airlines can implement the Aircraft Maintenance and Engineering Operating System (AMOS) on AWS to meet the need for high availability, resiliency, and cost efficiency in Maintenance, Repair, and Overhaul (MRO) PDF Application Integration | Hospitality | Travel

  • 2022-04-25T16:01:08+0000

63.1. Answer

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Figure 50: AMOS implementation on AWS

64. Real-Time Casino Player Analytics   drill aws_reference_architectures aws architecture analytics

This architecture enables casino customers or game developers to build a real-time analytics pipeline and promote advertising offers to customers during the game session.HTML | PDF | PPTAnalytics | Game Tech | Hospitality

  • 2022-04-23T03:19:00+0000

65. Enterprise Esri ArcGIS Platform on AWS   drill aws_reference_architectures aws architecture

ArcGIS Enterprise is the foundational software system for geographic information system (GIS). It powers mapping and visualization, analytics, and data management, and is the backbone for running the Esri suite of applications, and your own custom applications. PDF Manufacturing | Oil & Gas | Power & Utilities

  • 2022-04-21T19:27:53+0000

65.1. Answer

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Figure 51: Enterprise Esri ArcGIS Platform on AWS

66. Centralized Ingress with Application Load Balancer :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Using a centralized ingress VPC with a public application load balancer (ALB) with a Amazon EC2 target, an Auto Scaling Group (ASG) target, and an ASG target with an ALB. PDF Networking & Content Delivery

  • 2022-04-11T23:30:53+0000

66.1. Answer

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Figure 52: Centralized Ingress with Application Load Balancer

67. VMware Cloud on AWS – Simplifying Intra-Region Connectivity :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Option 1 demonstrates how workloads within SDDCs can access production and shared AWS services within different customer VPCs, utilizing a TGW peering attachment. Option 2 demonstrates how on-premises networks can connect to SDDCs utilizing DX and DXGW. PDF Networking & Content Delivery

  • 2022-04-11T23:27:21+0000

67.1. Answer

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Figure 53: VMware Cloud on AWS – Simplifying Intra-Region Connectivity

68. Digital River for Customer Packaged Goods (CPG), Business-to-Business (B2B), and Direct-to-Customer (DTC) Transactions on AWS   drill aws_reference_architectures aws architecture

As CPG companies actively move to various sales channels both domestically and world-wide, it is crucial for them to have robust solutions that manage all online commerce activities. This can reduce friction in ecommerce operations and reduce risk of revenue loss. To achieve these, Digital River provides an all-in-one solution that runs on AWS for CPG companies. PDF Consumer Packaged Goods (CPG)

  • 2022-04-11T23:25:57+0000

68.1. Answer

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Figure 54: Digital River for Customer Packaged Goods (CPG), Business-to-Business (B2B), and Direct-to-Customer (DTC) Transactions on AWS

69. AVEVA Unified Engineering Deployment on AWS   drill aws_reference_architectures aws architecture

This reference architecture diagram is an architectural blueprint for AVEVA Unified Engineering that is a suite of Windows desktop authoring applications for process simulation and 1D, 2D, 3D, engineering, and design. PDF Construction & Real Estate | Energy | Manufacturing | Oil & Gas

  • 2022-04-11T23:28:38+0000

69.1. Answer

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Figure 55: AVEVA Unified Engineering Deployment on AWS

70. Payment System Interface Modernization on AWS: Modern Cloud-Native Payment Systems   drill aws_reference_architectures aws architecture containers

How to build a microservices-based payment system to handle scale and optimized performance with improved container-based deployment, and using API and event-based models for handling different channels in payment. HTML | PDF | PPT Containers | Financial Services

  • 2022-04-09T02:44:03+0000

71. IFS Maintenix Software Implementation on AWS :drill:aws_reference_architectures:aws:architecture:app-integration:

Use AWS to create a highly available, secure, flexible, and cost effective architecture to host your IFS Maintenix Aviation Maintenance Management Software. PDF Application Integration | Hospitality | Travel

  • 2020-02-14T22:53:59+0000

71.1. Answer

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Figure 56: IFS Maintenix Software Implementation on AWS

72. PTC Creo on AppStream Deployment Options on AWS   drill aws_reference_architectures aws architecture

This architecture gives you a blueprint for providing secure access to PTC Creo hosted in the AWS Cloud using Amazon S3 for the private user folder, and an EC2-based file share folder for collaboration with other users before committing their computer-aided designs (CADs) into PTC Windchill product lifecycle management (PLM).HTML | PDF | PPTAerospace | Construction & Real Estate | Manufacturing

  • 2022-04-06T06:27:43+0000

73. Improve Demand Forecasting to Boost Sales on Amazon.com :drill:aws_reference_architectures:aws:architecture:analytics:ai-ml:

This architecture programmatically sources vendor performance data from the Amazon.com platform through vended APIs, which can be helpful to consumer packaged goods (CPG) companies who are manually collecting data. The solution allows analysis to occur on what has happened, and also uses advanced machine learning (ML) to create future demand predictions that help to proactively plan operations in the weeks ahead. PDF Analytics | Machine Learning & AI | Consumer Packaged Goods (CPG)

  • 2022-04-07T05:21:01+0000

73.1. Answer

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Figure 57: Improve Demand Forecasting to Boost Sales on Amazon.com

74. Revenue Growth Management (RGM) System on AWS :drill:aws_reference_architectures:aws:architecture:analytics:ai-ml:

The key benefit of implementing a good RGM system is increase in revenue due to the availability of the right brand, pack, or brand and pack mix, to the right consumer, at the right price, on the right occasion. This reference architecture helps you unlock revenue growth at the intersection of demand shaping with multi-touch attribution, and marketing mix. PDF Analytics | Machine Learning & AI | Consumer Packaged Goods (CPG)

  • 2022-04-05T00:08:08+0000

74.1. Answer

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Figure 58: Revenue Growth Management (RGM) System on AWS

75. Migration from MongoDB to Amazon DocumentDB   drill aws_reference_architectures aws architecture databases migration

Architecture diagrams showing an offline approach using the MongoDB utility, an online approach using AWS DMS, and a hybrid approach using the MongoDB utility and AWS DMS. PDF Databases | Migration

  • 2022-04-05T00:10:31+0000

75.1. Answer

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Figure 59: Migration from MongoDB to Amazon DocumentDB

76. Multi-Model Inference Workflow Orchestration :drill:aws_reference_architectures:aws:architecture:analytics:ai-ml:

This architecture helps you orchestrate running multiple machine learning (ML) models for complex ML-driven insight. Use this architecture for multi-category labelling scenarios per object. PDF Analytics | Machine Learning & AI

  • 2022-04-05T00:05:25+0000

76.1. Answer

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Figure 60: Multi-Model Inference Workflow Orchestration

77. Inspection Deployment Models with AWS Network Firewall :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Use AWS Network Firewall to transparently inspect traffic at scale in a variety of use cases: from traffic in a single VPC to the use of AWS Transit Gateway to centralize inspection for East/West and North/South traffic. While AWS Network Firewall is shown as inspection service, these diagrams also apply for any other solution using Gateway Load Balancer. PDF Networking & Content Delivery

  • 2021-12-16T01:31:26+0000

77.1. Answer

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Figure 61: Inspection Deployment Models with AWS Network Firewall

78. Using VMware VCDR and NetApp CVO for DR   drill aws_reference_architectures aws architecture storage compute

This architecture shows you how to bring Disaster-Recovery-as-a-Service (DRaaS) and the power of AWS to your on-premises VMware workloads.HTML | PDF | PPTCompute | Storage | Financial Services

  • 2022-03-24T02:36:55+0000

79. Domain consistency in event-driven architectures   drill aws_reference_architectures aws architecture migration

Increase the resilience of your event-driven architecture by applying a transactional outbox pattern to your domain’s database transactions, ensuring that all local changes raise a corresponding domain event that other domains can project. PDF Migration

  • 2022-03-16T15:44:47+0000

79.1. Answer

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Figure 62: Domain consistency in event-driven architectures

80. Automotive Call Center Reference Architecture   drill aws_reference_architectures aws architecture

Build an automotive call center solution as part of a connected vehicle platform to enhance customer safety, customer service, and loyalty operations using Amazon Connect.HTML | PDF | PPTAutomotive

  • 2022-03-22T14:37:42+0000

81. Smart Factory on AWS Outposts   drill aws_reference_architectures aws architecture

How to build a scalable and secure Internet of Things (IOT)-backed smart factory using AWS Outposts and AWS Regions. PDF Manufacturing

  • 2022-03-21T18:05:37+0000

81.1. Answer

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Figure 63: Smart Factory on AWS Outposts

82. VMware Cloud on AWS – Networking Reference Architectures :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Reference architecture series for VMware Cloud on AWS connectivity to on-premises using AWS networking services. PDF Networking & Content Delivery

  • 2021-05-21T21:29:00+0000

82.1. Answer

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Figure 64: VMware Cloud on AWS – Networking Reference Architectures

83. Utility Volt-VAR Management Framework :drill:aws_reference_architectures:aws:architecture:compute:ai-ml:

Build highly-scalable distribution grid management applications using an event-driven, microservices-oriented, architectural framework. Stream Operations Technology (OT) data to enable real-time applications, and hydrate an OT data lake for artificial intelligence/machine learning (AI/ML) insights. PDF Compute | Machine Learning & AI | Power & Utilities

  • 2022-03-08T02:38:29+0000

83.1. Answer

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Figure 65: Utility Volt-VAR Management Framework

84. Smart Metering for Water Utilities :drill:aws_reference_architectures:aws:architecture:iot:mgmt-govern:

This architecture leverages AWS IoT Core for LoRaWAN to reliably collect water meter readings from multiple metering devices, transfer the data to the cloud, and gain deeper insights on water consumption. HTML | PDF | PPT Internet of Things | Management & Governance | Power & Utilities

  • 2022-04-14T21:27:53+0000

85. Architecture for Gateway Load Balancer –Centralized Egress Inspection :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Use Gateway Load Balancer to build highly available and scalable centralized egress environments with traffic inspection. PDF Networking & Content Delivery

  • 2022-03-15T01:44:59+0000

85.1. Answer

gwlb-centralized-egress-inspection-ra.png

Figure 66: Architecture for Gateway Load Balancer –Centralized Egress Inspection

86. Emerson Plantweb Optics Data Lake (PWODL) for Health Care and Life Sciences (HCLS)   drill aws_reference_architectures aws architecture analytics

This architecture blueprint shows how Emerson PWODL can be used to ingest data from multiple disparate data sources into a unified data lake. PDF Analytics | Healthcare | Life Sciences | Manufacturing

  • 2022-03-10T01:10:36+0000

86.1. Answer

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Figure 67: Emerson Plantweb Optics Data Lake (PWODL) for Health Care and Life Sciences (HCLS)

87. Modern Data Platform using AWS and Snowflake   drill aws_reference_architectures aws architecture analytics

This architecture enables customers to build end-to-end modern data analytics platforms using AWS and Snowflake. PDF Analytics

  • 2022-03-10T01:09:06+0000

87.1. Answer

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Figure 68: Modern Data Platform using AWS and Snowflake

88. Multiplayer Session-based Game Hosting on AWS   drill aws_reference_architectures aws architecture

Using Amazon GameLift multi-Region fleets and a serverless backend solution to host a session-based multiplayer game.HTML | PDF | PPTGame Tech

  • 2022-03-02T01:04:10+0000

89. Expose Microservices using Amazon Elastic Kubernetes Service (Amazon EKS) :drill:aws_reference_architectures:aws:architecture:networking-content-dev   compute

Understand how to securely expose Amazon EKS applications hosted in private subnets to the internet and on-premises networks. The diagrams also show how to deal with IP exhaustion leveraging the RFC 6598 address space or using IPv6. PDF Compute | Networking & Content Delivery

  • 2022-02-24T00:37:04+0000

89.1. Answer

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Figure 69: Expose Microservices using Amazon Elastic Kubernetes Service (Amazon EKS)

90. VMware Cloud on AWS with AWS Backup Integration :drill:aws_reference_architectures:aws:architecture:security-identity-compliance:

Protecting virtual machines (VM) running on VMware Cloud on AWS using AWS Backup. PDF Security, Identity, & Compliance

  • 2022-02-24T00:35:49+0000

90.1. Answer

vmware-cloud-on-aws-with-backup-ra.png

Figure 70: VMware Cloud on AWS with AWS Backup Integration

91. Intelligent Supply Chain - Retail   drill aws_reference_architectures aws architecture

This architecture shows a track and trace use case for a generic retailer.HTML | PDF | PPTRetail

  • 2022-02-16T02:00:50+0000

92. ReadForMe :drill:aws_reference_architectures:aws:architecture:mobile:ai-ml:

The ReadForMe web app utilizes the AWS Cloud to enable the visually-impaired to hear paper documents using an event-driven serverless architecture using AI services. PDF Front-End Web & Mobile | Machine Learning & AI

  • 2022-02-01T02:14:11+0000

92.1. Answer

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Figure 71: ReadForMe

93. Secure Remote Worker Environment :drill:aws_reference_architectures:aws:architecture:security-identity-compliance   euc

Build a secure desktop environment for remote workers to access key line of business applications and data. PDF End-User Computing (EUC) | Security, Identity, & Compliance

  • 2022-01-31T20:18:23+0000

93.1. Answer

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Figure 72: Secure Remote Worker Environment

94. Connected Mobility Data Lake   drill aws_reference_architectures aws architecture

Create connected mobility data products and democratize data access with a serverless data mesh architecture. HTML | PDF | PPT Automotive

  • 2023-01-12T01:03:06+0000

95. Financial Advisor Chat Assistant :drill:aws_reference_architectures:aws:architecture:ai-ml:

Financial advisors often work outside of normal business hours, when head office teams might not be available to answer questions. Use Amazon Web Services (AWS) to create a sophisticated conversational chatbot to help financial advisors get answers to their queries 24/7. HTML | PDF | PPT Machine Learning & AI | Financial Services

  • 2022-01-10T21:34:32+0000

96. Centralized Alarms and Notifications :drill:aws_reference_architectures:aws:architecture:mgmt-govern:

Deployment of a serverless monitoring and alarm system configured to send workload-specific notifications. PDF Management & Governance

  • 2022-01-10T21:12:32+0000

96.1. Answer

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Figure 73: Centralized Alarms and Notifications

97. Moodle for High Availability on AWS   drill aws_reference_architectures aws architecture

Moodle is an open source learning management system (LMS) that supports distributed online learning. When implemented on AWS, Moodle can scale flexibly to optimize cost and maximize availability.HTML | PDF | PPTEducation

  • 2021-12-30T23:04:11+0000

98. Couchbase on AWS Local Zones for Low Latency Edge Use Case   drill aws_reference_architectures aws architecture databases analytics

An architecture overview of Couchbase Server and Couchbase Sync Gateway deployment on AWS Local Zones for low latency edge use case. PDF Analytics | Databases

  • 2021-12-30T04:26:48+0000

98.1. Answer

couchbase-on-aws-local-zones-ra.png

Figure 74: Couchbase on AWS Local Zones for Low Latency Edge Use Case

99. Hybrid DNS Architectures with Route 53 Resolver Endpoints :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Use Amazon Route 53 Resolver Endpoints to forward DNS resolution traffic between your Amazon VPCs and on-premises data centers over both AWS Direct Connect and AWS Site-to-Site VPN. You can learn how to build this in a single VPC, and in a multi-VPC and multi-account environment. PDF Networking & Content Delivery

  • 2021-12-18T01:03:16+0000

99.1. Answer

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Figure 75: Hybrid DNS Architectures with Route 53 Resolver Endpoints

100. Active/Active and Active/Passive Configurations in AWS Direct Connect :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

This reference architecture focuses on the Maximum Resiliency model, which provides you with a way to order dedicated connections.HTML | PDF | PPTNetworking & Content Delivery

  • 2022-07-20T20:12:48+0000

101. Location Services with Real-Time ML Forecasting :drill:aws_reference_architectures:aws:architecture:ai-ml:

This reference architecture provides guidance on creating a provider-customer location-based platform to create a real-time inference pipeline to forecast demand.HTML | PDF | PPTMachine Learning & AI | Aerospace | Transport & Logistics

  • 2023-09-27T23:11:16+0000

102. Location-enabled Data Science with Precisely on AWS   drill aws_reference_architectures aws architecture analytics

This reference architecture shows how customers can deploy Precisely geo addressing capabilities on Amazon SageMaker or Amazon EMR Studio to enhance experiments with location-aware data.HTML | PDF | PPTAnalytics

  • 2023-09-15T18:35:34+0000

103. DescribeForMe Web App :drill:aws_reference_architectures:aws:architecture:ai-ml:

The DescribeForMe web app uses the AWS Cloud to help the visually impaired review images.HTML | PDF | PPTMachine Learning & AI

  • 2023-08-31T15:34:32+0000

104. Scale Geospatial Data Lakes on AWS   drill aws_reference_architectures aws architecture

This reference architecture shows you how to build scalable geospatial data repositories on AWS.HTML | PDF | PPTAerospace

  • 2023-09-06T15:24:32+0000

105. Element Analytics Unify on AWS   drill aws_reference_architectures aws architecture analytics

Element Analytics on AWS allows integration, contextualization, and governance of industrial IT/OT data using its industrial data operations platform, Element Unify 5.0.HTML | PDF | PPTAnalytics | Consumer Packaged Goods (CPG) | Manufacturing

  • 2021-05-21T16:35:58+0000

106. Power Grid Simulation with High Performance Computing on AWS   drill aws_reference_architectures aws architecture

This reference architecture shows power utilities how to run large-scale grid simulations with HPC on AWS and use cloud-native, fully-managed services to perform advanced analytics on the study results.HTML | PDF | PPTPower & Utilities

  • 2023-08-11T22:49:52+0000

107. Delivering Industrial DataOps on Industrial Data Fabric   drill aws_reference_architectures aws architecture

This reference architecture helps you create an enterprise governed model, ingest near real-time and historical data at scale from edge data sources into AWS IDF, and interface with applications using REST APIs.HTML | PDF | PPTManufacturing

  • 2023-08-10T22:34:07+0000

108. Oracle E-Business Suite on AWS   drill aws_reference_architectures aws architecture databases

This reference architecture can be used to deploy Oracle E-Business Suite on AWS by showing how to configure high availability for the database and application tier.HTML | PDF | PPTDatabases

  • 2023-08-15T17:00:26+0000

109. Discover Underperforming Industrial Assets   drill aws_reference_architectures aws architecture iot

Notify operations teams of forecasted dips in equipment performance. Combine insights from Amazon Lookout for Equipment with operational tools in AWS IoT SiteWise. PDF Internet of Things | Manufacturing

  • 2021-12-09T22:55:41+0000

109.1. Answer

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Figure 76: Discover Underperforming Industrial Assets

110. Retail Customer Service Contact Center: Next Generation Customer Service Using Amazon Connect   drill aws_reference_architectures aws architecture

The next generation customer contact center allows both physical and ecommerce retailers to simplify and transform their customer service channel with natural language processing (NLP) and automation.PDFRetail

  • 2021-12-09T22:48:19+0000

110.1. Answer

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Figure 77: Retail Customer Service Contact Center: Next Generation Customer Service Using Amazon Connect

111. Genomics Data Transfer, Data Access Patterns, Storage, and Archival   drill aws_reference_architectures aws architecture storage

Transferring genomics data to the cloud and providing data access using AWS services.PDFStorage | Life Sciences

  • 2021-12-08T03:24:20+0000

111.1. Answer

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Figure 78: Genomics Data Transfer, Data Access Patterns, Storage, and Archival

112. Robotic Processing: Automation and Virtual Desktop Infrastructure on AWS   drill aws_reference_architectures aws architecture

This architecture shows how to integrate UiPath for running robotics automation with VMware Cloud on AWS. PDF

  • 2021-12-07T23:38:44+0000

112.1. Answer

robotic-processing-uipath-ra.png

Figure 79: Robotic Processing: Automation and Virtual Desktop Infrastructure on AWS

113. Architecture of Crew Management System   drill aws_reference_architectures aws architecture

This architecture is focused on Trip Update and Retrieve services. It shows how to use Amazon Web Services (AWS) to create a highly available, secure, flexible, and cost-effective architecture for Crew Management Systems. PDF Travel

  • 2021-12-05T18:17:20+0000

113.1. Answer

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Figure 80: Architecture of Crew Management System

114. VMware Cloud on AWS – BYOIP Reference Architecture   drill aws_reference_architectures aws architecture

Bring Your Own Public IP Address (BYOIP) to VMware Cloud on AWS with AWS Cloud. PDF

  • 2021-12-06T06:38:51+0000

114.1. Answer

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Figure 81: VMware Cloud on AWS – BYOIP Reference Architecture

115. Integrating Amazon Redshift and Amazon QuickSight into VMware Cloud on AWS   drill aws_reference_architectures aws architecture analytics

This architecture shows integrating Amazon Redshift and Amazon QuickSight into VMware Cloud on AWS and using AWS DMS to get your data into Amazon Redshift for easy analysis. PDF Analytics

  • 2021-12-03T22:14:58+0000

115.1. Answer

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Figure 82: Integrating Amazon Redshift and Amazon QuickSight into VMware Cloud on AWS

116. AWS Distributed Perforce Architecture: Hybrid and Multi-Region Deployment   drill aws_reference_architectures aws architecture

A hybrid multi-Region deployment of Perforce Helix Core in AWS. PDF Game Tech

  • 2021-11-25T02:17:37+0000

116.1. Answer

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Figure 83: AWS Distributed Perforce Architecture: Hybrid and Multi-Region Deployment

117. Serverless Architecture for Product Defect Detection Using Computer Vision :drill:aws_reference_architectures:aws:architecture:ai-ml:

Detect product defects, get real-time notifications, and visualize insights using AWS artificial intelligence and machine learning, and serverless services. PDF Machine Learning & AI | Consumer Packaged Goods (CPG) | Manufacturing

  • 2021-11-25T02:23:45+0000

117.1. Answer

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Figure 84: Serverless Architecture for Product Defect Detection Using Computer Vision

118. Unity Build Pipeline: Build Unity games for iOS in the AWS Cloud   drill aws_reference_architectures aws architecture

This architecture builds Unity-based games for iOS in the AWS Cloud with Jenkins. The build process runs in two stages to optimize cost and performance. PDF Game Tech

  • 2021-11-25T02:30:24+0000

118.1. Answer

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Figure 85: Unity Build Pipeline: Build Unity games for iOS in the AWS Cloud

119. Enable two-way SMS as a customer service channel in Amazon Connect   drill aws_reference_architectures aws architecture

Add support for SMS to your contact center using Amazon Connect Chat’s Message Streaming APIs and Amazon Pinpoint two-way SMS functionality. PDF Telecommunications

  • 2021-11-23T21:58:08+0000

119.1. Answer

enable-two-way-sms-as-a-customer-service-channel-in-amazon-connect-ra.png

Figure 86: Enable two-way SMS as a customer service channel in Amazon Connect

120. iOS Build and Test Pipeline Using Jenkins   drill aws_reference_architectures aws architecture compute

Automate Building and Testing of iOS Apps using Jenkins, Amazon EC2 Mac Instance, and AWS Device Farm. PDF Compute

  • 2021-11-23T21:59:25+0000

120.1. Answer

ios-build-and-test-pipeline-using-jenkins-ra.png

Figure 87: iOS Build and Test Pipeline Using Jenkins

121. Enable Digital Messaging Channels in Amazon Connect   drill aws_reference_architectures aws architecture

Add support for digital messaging channels (like Facebook Messenger and Slack) to your contact center using Amazon Connect Chat’s Message Streaming APIs and Serverless Services on AWS. PDF Consumer Packaged Goods (CPG) | Telecommunications

  • 2021-11-23T21:58:48+0000

121.1. Answer

enable-digital-messaging-channels-in-amazon-connect-ra.png

Figure 88: Enable Digital Messaging Channels in Amazon Connect

122. Web Application Architecture on AWS   drill aws_reference_architectures aws architecture migration

This diagram shows how you can host a classic web application on AWS. PDF Migration

  • 2021-11-19T16:11:42+0000

122.1. Answer

web-application-architecture-on-aws.png

Figure 89: Web Application Architecture on AWS

123. Cloud bursting EDA with FSx for NetApp ONTAP   drill aws_reference_architectures aws architecture storage

Enable Electronic Design Automation (EDA) cloud-bursting with bidirectional caching of job data PDF Storage | Electronics | Manufacturing

  • 2021-11-20T00:14:02+0000

123.1. Answer

cloud-bursting-eda-with-fsx-for-netapp-ontap.png

Figure 90: Cloud bursting EDA with FSx for NetApp ONTAP

124. Aerospace Virtual Desktop Infrastructure (VDI) and High Performance Computing (HPC) on AWS   drill aws_reference_architectures aws architecture euc compute

This diagram shows the process for running of computer-aided engineering (CAE) computations and visualizations in the Cloud with desktop access.HTML | PDF | PPTCompute | End-User Computing (EUC) | Aerospace

  • 2021-11-18T23:09:15+0000

125. iOS CI/CD Build and Test Pipeline   drill aws_reference_architectures aws architecture devtools compute

Automate building and testing of iOS apps using AWS CodePipeline, Amazon EC2 Mac instance, and AWS Device Farm. PDF Compute | Developer Tools

  • 2021-11-18T03:02:13+0000

125.1. Answer

ios-cicd-build-test-pipeline-ra.png

Figure 91: iOS CI/CD Build and Test Pipeline

126. TR-069 and AWS   drill aws_reference_architectures aws architecture

Connecting TR-069 CPE fleets with AWS for bulk data collection, data lakes, analytics and visualization, and artificial intelligence and machine learning integrations. PDF Telecommunications

  • 2021-11-17T02:39:34+0000

126.1. Answer

tr-069-and-aws-ra.png

Figure 92: TR-069 and AWS

127. VMware Cloud on AWS – Security VPC Reference Architecture :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Integrate third-party firewall appliances into VMware Cloud on AWS by leveraging the VMware Transit Connect. PDF Networking & Content Delivery

  • 2021-11-16T02:58:24+0000

127.1. Answer

vmware-cloud-on-aws-security-vpc-ra.png

Figure 93: VMware Cloud on AWS – Security VPC Reference Architecture

128. Sharing Files with Amazon FSx in Horizon on VMware Cloud on AWS   drill aws_reference_architectures aws architecture storage

Showing a best practice to provide a highly available user environment management (UEM) for Horizon 7 with Amazon FSx for Windows File Server. PDF Storage

  • 2019-08-26T14:45:42+0000

128.1. Answer

horizon7-on-vmc-with-fsx.png

Figure 94: Sharing Files with Amazon FSx in Horizon on VMware Cloud on AWS

129. Siemens NX Deployment Options on AWS :drill:aws_reference_architectures:aws:architecture:app-integration   compute

This diagram shows how to deploy Siemens NX on Amazon AppStream 2.0 by leveraging Amazon EBS volumes for shared folders, using Amazon FSx for a highly-performant file system. Includes how to extend the Amazon FSx solution to multi-Region deployments. PDF Application Integration | Compute | Consumer Packaged Goods (CPG)

  • 2021-11-11T00:58:10+0000

129.1. Answer

siemens-nx-architecture-diagram-ra.png

Figure 95: Siemens NX Deployment Options on AWS

130. Game Production in the Cloud - CI/CD   drill aws_reference_architectures aws architecture

Reference architecture for offloading game builds from remote or on-premises game development environments to the AWS Cloud. PDF Game Tech

  • 2021-07-15T19:46:54+0000

130.1. Answer

gpic-cicd-ra.png

Figure 96: Game Production in the Cloud - CI/CD

131. Serverless Reservation System for Lodging   drill aws_reference_architectures aws architecture

This microservice-based serverless central reservation system for lodging uses the appropriate AWS database service for each access pattern. It provides an elastic, highly available, consistent, low latency, low maintenance, inventory and booking service at any scale. PDF Hospitality | Travel

  • 2021-11-09T00:49:37+0000

131.1. Answer

serverless-reservation-system-on-aws-ra.png

Figure 97: Serverless Reservation System for Lodging

132. Fractal Samya.ai: A Revenue Growth Management (RGM) System on AWS   drill aws_reference_architectures aws architecture

Samya.ai is an enterprise AI/ML SaaS application designed to help consumer packaged goods (CPG) companies optimize revenue growth. The AWS Shared Responsibility Model explains how the responsibility for Security and Compliance is shared between AWS and its customers. PDF Consumer Packaged Goods (CPG)

  • 2021-11-09T04:32:46+0000

132.1. Answer

fractalsamyaonawsra.png

Figure 98: Fractal Samya.ai: A Revenue Growth Management (RGM) System on AWS

133. Scaling PHP Applications on AWS :drill:aws_reference_architectures:aws:architecture:app-integration   compute

Running highly-available, performant and secure PHP applications PDF Application Integration | Compute

  • 2021-11-03T05:04:59+0000

133.1. Answer

scaling-php-applications-on-aws-ra.png

Figure 99: Scaling PHP Applications on AWS

134. Architecture for Unified Communications :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Avaya Aura Unified Communications (UC) Platform PDF Networking & Content Delivery | Hospitality | Telecommunications | Travel

  • 2021-11-01T21:34:40+0000

134.1. Answer

architecture-for-unified-communications-ra.png

Figure 100: Architecture for Unified Communications

135. Architecture for Centralized Internet Egress with NAT Gateway – Inter-VPC Communication Disabled :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Use NAT Gateway and AWS Transit Gateway to create high availability centralized internet egress for all Amazon Virtual Private Clouds (VPCs) while isolating inter-VPC traffic. PDF Networking & Content Delivery

  • 2021-10-20T22:06:20+0000

135.1. Answer

nat-gateway-centralized-egress-ra.png

Figure 101: Architecture for Centralized Internet Egress with NAT Gateway – Inter-VPC Communication Disabled

136. Cloud Point-of-Sale (POS) System on AWS for CPG   drill aws_reference_architectures aws architecture

A modern point of sale POS system does much more than just provide checkout for customers. While these extra capabilities are welcome, they do complicate maintenance and make upgrades more complex. This reference architecture shows the four key features a cloud-based POS system should have to gives the consumer packaged goods (CPG) companies a jump start in their direct-to-consumer store sales. PDF Consumer Packaged Goods (CPG) | Hospitality | Retail | Travel

  • 2021-10-14T00:22:12+0000

136.1. Answer

cloud-pos-reference-architecture.png

Figure 102: Cloud Point-of-Sale (POS) System on AWS for CPG

137. AWS Industrial Anomaly Detection using AWS IoT :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Create an anomaly detection notification workflow with a machine learning feedback loop using AWS IoT services, Amazon Simple Notification Service (Amazon SNS), Amazon SageMaker, and Amazon Kinesis Data Analytics. PDF Internet of Things | Machine Learning & AI | Consumer Packaged Goods (CPG) | Manufacturing

  • 2019-12-27T18:16:44+0000

137.1. Answer

iot-industrial-anomaly-detect-ra.png

Figure 103: AWS Industrial Anomaly Detection using AWS IoT

138. Build Operational Analytics Pipeline on AWS Modern Data Architecture   drill aws_reference_architectures aws architecture analytics

This architecture enables customers to perform operational analytics in batch and real-time using log information from operational data sources. Operational insights are visualized using an OpenSearch Dashboard and alerts are distributed using Amazon Simple Notification Service (Amazon SNS). PDF Analytics

  • 2021-10-07T16:20:27+0000

138.1. Answer

build-operational-analytics-pipeline-on-aws-modern-data-architecture.png

Figure 104: Build Operational Analytics Pipeline on AWS Modern Data Architecture

139. Modern Data Analytics Reference Architecture on AWS   drill aws_reference_architectures aws architecture analytics

This architecture enables customers to build data analytics pipelines using a Modern Data Analytics approach to derive insights from the data. HTML | PDF Analytics | Consumer Packaged Goods (CPG)

  • 2023-06-15T15:53:29+0000

140. Microservices-based Headless Direct-to-Consumer (DTC) Website with Infosys Equinox on AWS   drill aws_reference_architectures aws architecture

Infosys is an AWS partner with a DTC platform, Equinox, running on AWS to provide comprehensive capabilities across the commerce lifecycle. PDF Consumer Packaged Goods (CPG) | Retail

  • 2021-09-30T00:26:28+0000

140.1. Answer

microservice-dtc-with-skava-on-aws-ra.png

Figure 105: Microservices-based Headless Direct-to-Consumer (DTC) Website with Infosys Equinox on AWS

141. Hybrid Fraud Detector Engine :drill:aws_reference_architectures:aws:architecture:ai-ml:

Create a real-time ensemble fraud detection engine using Amazon SageMaker and Amazon Fraud Detector. PDF Machine Learning & AI | Hospitality | Travel

  • 2021-09-29T22:18:48+0000

141.1. Answer

hybrid-fraud-detector-engine-ra.png

Figure 106: Hybrid Fraud Detector Engine

142. AWS Industrial Applications with Siemens LOGO!   drill aws_reference_architectures aws architecture iot

Ingesting near real-time data from Siemens LOGO! to AWS IoT Core enables building modern end-to-end applications, including interactive dashboards, events detection, alerting, predictive maintenance and integration with Alexa. Use analytics and machine learning services operating on a data lake to derive insights to build predictive models and forecasts. PDF Internet of Things | Hospitality | Manufacturing | Travel

  • 2021-09-28T01:15:46+0000

142.1. Answer

aws-industrial-applications-with-siemens-logo-ra.png

Figure 107: AWS Industrial Applications with Siemens LOGO!

143. Spatial Computing 3D Content Management - Create a single source of truth for 3D assets :drill:aws_reference_architectures:aws:architecture:containers:ar-vr:

Automate ingestion, transformation, and versioning of 3D assets. Process CAD, Photogrammetry, light detection and ranging (LiDAR), or other existing 3D data. Manage content authoring and processing profiles with virtual workstations and digital content creation tools. PDF AR / VR | Containers

  • 2021-09-21T23:26:47+0000

143.1. Answer

sc-3d-cms-aws-reference-architecturemws-ra.png

Figure 108: Spatial Computing 3D Content Management - Create a single source of truth for 3D assets

144. Predictive Modeling for Automotive Retail   drill aws_reference_architectures aws architecture

Fine-grained Return on Investment (ROI) prediction for automotive sales incentives. PDF Automotive

  • 2021-09-17T22:39:02+0000

144.1. Answer

predictive-modeling-for-automotive-retail-ra.png

Figure 109: Predictive Modeling for Automotive Retail

145. Use AWS CodePipeline to qualify and deploy a microservice to Amazon EKS   drill aws_reference_architectures aws architecture devtools

Integrating best practices for qualifying and promoting images using AWS managed services. PDF Developer Tools

  • 2021-09-15T22:34:47+0000

145.1. Answer

use-aws-codepipeline-to-qualify-and-deploy-microservice-ra.png

Figure 110: Use AWS CodePipeline to qualify and deploy a microservice to Amazon EKS

146. Open Banking on AWS :drill:aws_reference_architectures:aws:architecture:mobile:security-identity-compliance:app-integration   serverless

Use Amazon Web Services to open APIs for third parties and help you implement Open Banking regulations.PDFApplication Integration | Front-End Web & Mobile | Security, Identity, & Compliance | Serverless | Financial Services | General Enterprise

  • 2019-09-18T15:25:07+0000

146.1. Answer

open-banking-on-aws.png

Figure 111: Open Banking on AWS

147. Emerson Plantweb Optics Data Lake (PWODL)   drill aws_reference_architectures aws architecture analytics

An architectural blueprint to show how Emerson PWODL can be used to centralize, manage and contextualize operational data into an Industrial Data Platform on AWS for advanced analytics use cases.PDFAnalytics | Consumer Packaged Goods (CPG) | Manufacturing

  • 2021-09-07T23:27:07+0000

147.1. Answer

emerson-plantweb-optics-data-lake.png

Figure 112: Emerson Plantweb Optics Data Lake (PWODL)

148. High Performance Computing on AWS   drill aws_reference_architectures aws architecture compute

This architecture deploys and bursts a suite of high performance computing (HPC) cases to the cloud directly from the desktop.HTML | PDF | PPTCompute

  • 2021-09-07T19:55:41+0000

149. Autoscaling Asynchronous Job Queues   drill aws_reference_architectures aws architecture containers

Perform background processing jobs such as document generation, extract, transform, and load (ETL) tasks, inference, and more with AWS Fargate. PDF Containers

  • 2021-09-02T22:19:05+0000

149.1. Answer

autoscaling-asynchronous-job-queues.png

Figure 113: Autoscaling Asynchronous Job Queues

150. Temenos Payments Hub   drill aws_reference_architectures aws architecture

This comprehensive, universal platform for efficient payment initiation and distribution from Temenos uses AWS services to provide security and elasticity with low-maintenance overhead. PDF Financial Services

  • 2021-09-02T17:19:39+0000

150.1. Answer

temenos-payments-hub-ra.png

Figure 114: Temenos Payments Hub

151. Serverless Real-Time Analytics for Mobile Gaming   drill aws_reference_architectures aws architecture serverless

Build serverless real-time analytics pipelines for mobile gaming.PDFServerless | Game Tech

  • 2019-10-21T16:59:12+0000

151.1. Answer

serverless-analytics-for-mobile-gaming.png

Figure 115: Serverless Real-Time Analytics for Mobile Gaming

152. Open edX on AWS   drill aws_reference_architectures aws architecture

Open edX is an open-source, distributed learning platform that, when implemented on AWS, can scale flexibly to optimize cost and maximize availability. Instructors and students can focus on teaching and learning, and organizations can reduce administrative overhead.HTML | PDF | PPTEducation

  • 2021-08-04T01:54:01+0000

153. Change Data Capture using AWS Database Migration Service   drill aws_reference_architectures aws architecture analytics migration

Reference architecture series that enables customers to migrate databases using on-going replication, ingest real-time changes from source databases through streaming services, and create data pipelines to build transactional data lakes. PDF Analytics | Migration

  • 2021-08-03T22:24:57+0000

153.1. Answer

cdc-using-dms-ra.png

Figure 116: Change Data Capture using AWS Database Migration Service

154. Implementing Travel & Hospitality Data Mesh   drill aws_reference_architectures aws architecture

The travel and hospitality industries are facing new challenges when generating, accessing, and analysing data at scale. Use this new approach to build a data platform that serves both operational and analytical needs by using domain owned design, maintained data properties, open data standards, purpose-built databases, and extensible serverless architecture. This data delivery platform architecture helps relieve and eventually replace the on-premises data platform load, leading to cost savings and an agile environment. PDF Hospitality | Travel

  • 2021-07-30T21:53:03+0000

154.1. Answer

implementing-travel-and-hospitality-data-mesh-ra.png

Figure 117: Implementing Travel & Hospitality Data Mesh

155. Monitoring Streaming Data with Machine Learning :drill:aws_reference_architectures:aws:architecture:analytics:ai-ml:

This architecture enables customers to monitor streaming data and compare it in near-real-time to a machine-learned forecast, raising an incident or alarm if actual performance deviates significantly from the forecast. PDF Analytics | Machine Learning & AI

  • 2021-07-29T06:22:20+0000

155.1. Answer

monitoring-streaming-data-with-mlv3-ra.png

Figure 118: Monitoring Streaming Data with Machine Learning

156. Personalization and Predictive Consumer Engagement for CPG :drill:aws_reference_architectures:aws:architecture:databases:ai-ml:

Consumer expectations are evolving and behaviors are changing fast. The modern consumer packaged goods (CPG) industry has a wide array of channels to communicate with their consumers; however, sending the right message to the right consumer on the right channel at the right time remains the preeminent challenge. PDF Databases | Machine Learning & AI | Consumer Packaged Goods (CPG) | Retail

  • 2021-07-28T23:32:17+0000

156.1. Answer

personalization-and-predictive-consumer-engagement-for-cpg-ra.png

Figure 119: Personalization and Predictive Consumer Engagement for CPG

157. Plagiarism Detection :drill:aws_reference_architectures:aws:architecture:ai-ml:

Create a plagiarism-detection service using AWS Step Functions, AWS Lambda, Amazon SageMaker, and Amazon ES.HTML | PDF | PPTMachine Learning & AI | Education

  • 2021-07-27T00:14:30+0000

158. Traceability with Serverless Analytics   drill aws_reference_architectures aws architecture analytics

Two-part reference architecture for tracking data lake ingest and processing using AWS X-Ray and data lake ingest and processing with downstream analytics. PDF Analytics

  • 2021-07-19T19:20:49+0000

158.1. Answer

traceability-serverless-analytics-ra.png

Figure 120: Traceability with Serverless Analytics

159. Predictive Equipment Health for Utilities   drill aws_reference_architectures aws architecture iot

Build a modern, end-to-end, field-to-cloud solution for ingestion of near-real-data from utility assets, devices, and a multitude of common utility systems using AWS services. PDF Internet of Things | Power & Utilities

  • 2021-07-16T23:41:42+0000

159.1. Answer

predictive-equipment-health-for-utilities-ra.png

Figure 121: Predictive Equipment Health for Utilities

160. Connected Home – Machine Learning at the Edge :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

IoT Machine Learning on home devices. PDF Internet of Things | Machine Learning & AI

  • 2019-07-05T18:31:16+0000

160.1. Answer

connected-home-ml-edge-ra.png

Figure 122: Connected Home – Machine Learning at the Edge

161. Time Series Data Processing   drill aws_reference_architectures aws architecture analytics iot

Build elastic systems that process time series data. PDF Analytics | Internet of Things

  • 2019-06-25T17:21:24+0000

161.1. Answer

time-series-data-processing.png

Figure 123: Time Series Data Processing

162. Automated Archival for Amazon Redshift   drill aws_reference_architectures aws architecture databases storage

Reference architecture for automating the periodic data archival process for an Amazon Redshift database. PDF Databases | Storage

  • 2021-07-13T18:26:41+0000

162.1. Answer

automated-archival-redshift-ra.png

Figure 124: Automated Archival for Amazon Redshift

163. Mobile Apps for Location-based engagement   drill aws_reference_architectures aws architecture mobile

This architecture offers an enhanced experience, such as sending real-time messages and information based on user location, and is built around Amazon Location Service features. HTML | PDF Front-End Web & Mobile | Hospitality | Travel

  • 2021-07-08T19:17:04+0000

164. Serverless Strategy for Dynamic Pricing   drill aws_reference_architectures aws architecture

This reference architecture helps you build pricing in parallel and dynamically calculate pricing based on factors such as date, duration, and number of people. It also displays sorted comparable products with sub-second response times. With real time pricing prices are updated based on current market conditions. PDF Hospitality | Travel

  • 2021-06-28T18:24:57+0000

164.1. Answer

serverless-strategy-for-dynamic-pricing-ra.png

Figure 125: Serverless Strategy for Dynamic Pricing

165. Digital Banking with VMware Cloud on AWS   drill aws_reference_architectures aws architecture migration

Design patterns for building a digital banking environment with VMware Cloud on AWS and AWS native services. PDF Migration | Financial Services

  • 2021-06-22T19:44:02+0000

165.1. Answer

digital-banking-with-vmware-cloud-on-aws-ra.png

Figure 126: Digital Banking with VMware Cloud on AWS

166. AppStream 2.0 for Legacy Applications   drill aws_reference_architectures aws architecture euc

Leverage Amazon AppStream 2.0 to manage, upgrade, and securely deliver desktop and legacy web applications to any HTML5 or Windows-enabled device in an airport terminal. PDF End-User Computing (EUC) | Hospitality | Travel

  • 2021-06-23T00:25:05+0000

166.1. Answer

appstream-20-for-legacy-applications-ra.png

Figure 127: AppStream 2.0 for Legacy Applications

167. Architecture for Airline Crew Management Systems   drill aws_reference_architectures aws architecture analytics

Use Amazon Web Services (AWS) to create a highly-available, secure, flexible, and cost-effective architecture for airline crew management systems. PDF Analytics | Hospitality | Travel

  • 2021-06-11T19:01:06+0000

167.1. Answer

crew-management-systems-aws-ra.png

Figure 128: Architecture for Airline Crew Management Systems

168. Oracle RAC on VMware Cloud on AWS   drill aws_reference_architectures aws architecture databases

Move live VMware vMotion vSphere workloads to the Cloud without downtime and integrate them with AWS Cloud services. PDF Databases

  • 2019-06-25T17:21:30+0000

168.1. Answer

oracle-rac-vmware-aws.png

Figure 129: Oracle RAC on VMware Cloud on AWS

169. Protect Your Data in AWS with Hold Your Own Key (HYOK) Solutions provided by Baffle Data Protection Service (DPS)   drill aws_reference_architectures aws architecture analytics

Baffle DPS provides a Hold Your Own Key (HYOK) solution to enable customers who require additional data-centric protection measures to address more stringent privacy regulations, such as not storing encryption keys in AWS. For more details on customer responsibility for data stored on AWS, see the AWS Shared Responsibility Model. PDF Analytics | Consumer Packaged Goods (CPG)

  • 2021-06-01T21:24:56+0000

169.1. Answer

protect-your-data-in-aws-with-hyok-solutions-provided-by-baffle-dps-ra.png

Figure 130: Protect Your Data in AWS with Hold Your Own Key (HYOK) Solutions provided by Baffle Data Protection Service (DPS)

170. Build your own Anomaly Detection ML Pipeline :drill:aws_reference_architectures:aws:architecture:ai-ml:

This end-to-end ML pipeline detects anomalies by ingesting real-time, streaming data from various network edge field devices, performing transformation jobs to continuously run daily predictions/inferences, and retraining the ML models based on the incoming newer time series data on a daily basis. PDF Machine Learning & AI | Hospitality | Travel

  • 2021-06-01T23:40:49+0000

170.1. Answer

graph TD
    subgraph "Real-Time Device Telemetry Data Ingestion Pipeline"
        Device[("Device #1, #2, #3")]
        apigateway:ingest[Amazon API Gateway]
        cognito:auth[Amazon Cognito]
        kinesis:firehose[Amazon Kinesis Data Firehose]
        lambda:transform[AWS Lambda]
        s3:datalake[S3 Data Lake]
        glue:catalog[AWS Glue Data Catalog]
    end

    subgraph "Data Engineering Pipeline"
        glue:jobs[AWS Glue Jobs]
        s3:training[Training Dataset]
    end

    subgraph "Machine Learning DevOps Pipeline"
        codebuild:ml[AWS CodeBuild Create ML Container]
        sagemaker:notebook[SageMaker Notebook]
        codecommit:repo[AWS CodeCommit]
        codebuild:qa[AWS CodeBuild Trigger QA Training]
        codebuild:prod[AWS CodeBuild Deploy Model to Prod]
        ecr:registry[Amazon Elastic Container Registry]
    end

    subgraph "Operationalize Inference Endpoint"
        apigateway:inference[Amazon API Gateway]
        lambda:inference[AWS Lambda]
    end

    subgraph "Inference Monitoring Pipeline"
        sagemaker:monitor[Amazon SageMaker Model Monitor]
        cloudwatch:events[Amazon CloudWatch]
        sagemaker:a2i[Amazon SageMaker A2I Workflow]
    end

    subgraph "Deploy Pipeline"
        stepfunctions:deploy[AWS Step Functions]
        sagemaker:endpoint[Amazon SageMaker Inference Endpoint]
    end

    subgraph "(Re) Training Pipeline"
        sagemaker:training[Amazon SageMaker Training jobs]
        sagemaker:model[Trained new models]
        s3:models[Trained ML models with version]
    end

    Device --> apigateway:ingest
    apigateway:ingest --> cognito:auth
    apigateway:ingest --> kinesis:firehose
    kinesis:firehose --> lambda:transform
    lambda:transform --> s3:datalake
    s3:datalake --> glue:catalog
    
    glue:catalog --> glue:jobs
    glue:jobs --> s3:training
    
    s3:training --> codebuild:ml
    sagemaker:notebook --> codebuild:ml
    codebuild:ml --> codecommit:repo
    codecommit:repo --> codebuild:qa
    codebuild:qa --> ecr:registry
    ecr:registry --> codebuild:prod
    
    sagemaker:endpoint --> apigateway:inference
    apigateway:inference --> lambda:inference
    
    lambda:inference --> sagemaker:monitor
    sagemaker:monitor --> cloudwatch:events
    cloudwatch:events --> sagemaker:a2i
    
    codebuild:prod --> stepfunctions:deploy
    stepfunctions:deploy --> sagemaker:endpoint
    
    codebuild:qa --> sagemaker:training
    sagemaker:training --> sagemaker:model
    sagemaker:model --> s3:models
    s3:models --> codebuild:prod

build-your-own-anomaly-detection-ml-pipeline-ra.png

Figure 131: Build your own Anomaly Detection ML Pipeline

171. Industrial Data Platform :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Architectural blueprint of how to ingest and store data from industrial equipment and enterprise applications, contextualize data, and build datasets. This approach includes machine learning predictions integrated with industrial systems of record. PDF Internet of Things | Machine Learning & AI | Consumer Packaged Goods (CPG) | Manufacturing

  • 2021-05-25T22:12:56+0000

171.1. Answer

industrial-data-platform-ra.png

Figure 132: Industrial Data Platform

172. Run Machine Learning Algorithms with Satellite Data :drill:aws_reference_architectures:aws:architecture:ai-ml:

Use AWS Ground Station to ingest satellite imagery, and use Amazon SageMaker to label image data, train a machine learning model, and deploy inferences to customer applications. PDF Machine Learning & AI

  • 2021-05-25T18:56:19+0000

172.1. Answer

machine-learning-satellite-data-ra.png

Figure 133: Run Machine Learning Algorithms with Satellite Data

173. Oracle Commerce Lift-and-Shift to AWS :drill:aws_reference_architectures:aws:architecture:app-integration:

Lift-and-shift to AWS is a first step toward modernization, giving you the benefit of unlimited resources to scale your ecommerce website as needed. PDF Application Integration | Consumer Packaged Goods (CPG) | Retail

  • 2021-05-24T22:00:11+0000

173.1. Answer

oracle-commerce-lift-and-shift-on-aws-ra.png

Figure 134: Oracle Commerce Lift-and-Shift to AWS

174. WebSphere Commerce (WCS) on AWS :drill:aws_reference_architectures:aws:architecture:app-integration:

Reference architecture for a lift and shift approach to move legacy ecommerce website from on-premises to AWS, allowing for unlimited resources to scale your ecommerce website when you need it. PDF Application Integration | Consumer Packaged Goods (CPG) | Retail

  • 2021-05-21T18:53:51+0000

174.1. Answer

websphere-commerce-ra.png

Figure 135: WebSphere Commerce (WCS) on AWS

175. Personalization in Magento eCommerce Software on AWS for Consumer Packaged Goods (CPG)   drill aws_reference_architectures aws architecture

Reference architecture for deploying containerized open-source or enterprise versions of Magento e-commerce software on AWS with personalization using Amazon Personalize. PDF Consumer Packaged Goods (CPG) | Retail

  • 2021-05-20T20:14:18+0000

175.1. Answer

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Figure 136: Personalization in Magento eCommerce Software on AWS for Consumer Packaged Goods (CPG)

176. Siemens Industrial Edge on AWS Reference Architecture   drill aws_reference_architectures aws architecture iot

Reference architecture that shows how to integrate AWS services with Siemens Industrial Edge and Siemens MindSphere. PDF Internet of Things | Consumer Packaged Goods (CPG) | Manufacturing

  • 2021-05-13T21:30:31+0000

176.1. Answer

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Figure 137: Siemens Industrial Edge on AWS Reference Architecture

177. Consumer Review Sentiment Analysis for CPG   drill aws_reference_architectures aws architecture

Public content has never been more relevant. Data from consumer reviews is used as a tool to gain insight into consumption-related decisions. The understanding of this data’s associated sentiment grants consumer packaged goods (CPG) companies with invaluable market awareness and the ability to proactively address issues early. AWS proposes this approach to gaining insights in near real-time and leveraging serverless event-driven architecture. PDF Consumer Packaged Goods (CPG)

  • 2021-05-13T18:51:12+0000

177.1. Answer

consumer-review-sentiment-analysis-for-cpg.png

Figure 138: Consumer Review Sentiment Analysis for CPG

178. Consumer Packaged Goods Data Mesh   drill aws_reference_architectures aws architecture analytics databases

AWS proposes this approach for generating, accessing, and analyzing data generated by online selling at scale, following the principles of flexibility, domain-owned design, maintaining data properties, and context throughout the data lifecycle. PDF Analytics | Databases | Consumer Packaged Goods (CPG)

  • 2021-04-06T03:11:52+0000

178.1. Answer

consumer-packaged-goods-data-mesh-ra.png

Figure 139: Consumer Packaged Goods Data Mesh

179. General HPC Architecture on AWS   drill aws_reference_architectures aws architecture compute

A series of processes that constitute high-performance computing (HPC) on AWS with a lift and shift approach. PDF Compute | Automotive

  • 2021-05-13T20:47:38+0000

179.1. Answer

hpc-on-aws-ra.png

Figure 140: General HPC Architecture on AWS

180. Running SAS® Grid on AWS   drill aws_reference_architectures aws architecture analytics storage compute

Reference architecture for deploying high-performing Amazon FSx for Lustre file system storage and guidance for the types of Amazon EC2 instances best suited for the SAS Grid compute tier. PDF Analytics | Compute | Storage

  • 2020-05-23T17:08:16+0000

180.1. Answer

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Figure 141: Running SAS® Grid on AWS

181. Modern Serverless Mobile/Web Application Architecture Integrated with CI/CD and Analytics Use Case :drill:aws_reference_architectures:aws:architecture:mobile:app-integration:networking-content-dev:

This diagram shows how to build a modern serverless mobile/web application in AWS for mobile/web clients, using AWS AppSync for frontend and ECS Fargate containers for backend application, along with Continuous Integration and Delivery and analytics to derive insight from application logs and structured data using the Amazon QuickSight dashboard. PDF Application Integration | Front-End Web & Mobile | Networking & Content Delivery | Telecommunications

  • 2021-03-16T00:42:08+0000

181.1. Answer

mobile-web-serverless-ra.png

Figure 142: Modern Serverless Mobile/Web Application Architecture Integrated with CI/CD and Analytics Use Case

182. GxP Compliance Automation   drill aws_reference_architectures aws architecture

Building a secure and compliant GxP workload on AWS PDF Healthcare | Life Sciences

  • 2019-11-12T19:50:58+0000

182.1. Answer

gxp-compliance-automation-ra.png

Figure 143: GxP Compliance Automation

183. Hybrid Active Directory Trusted Domains :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Demonstrates Active Directory trusted domains, in which a customer domain is configured in a one-way or two-way trust relationship with the cloud domain. PDF Networking & Content Delivery

  • 2019-06-25T17:22:02+0000

183.1. Answer

hybrid-ad-trusted-domains.png

Figure 144: Hybrid Active Directory Trusted Domains

184. Accelerate Industrial Machine Connectivity to AWS IoT using Embassy of Things (EOT) Twin Talk Express Data Sharing Platform   drill aws_reference_architectures aws architecture iot

This sequence flow architecture diagram shows the asset model provisioning path and ingestion of real-time sensor data from from industrial historians, OPC servers, and CygNet SCADA platforms into AWS IoT SiteWise using EoT’s Twin Talk application.PDFInternet of Things | Manufacturing

  • 2021-04-22T20:32:26+0000

184.1. Answer

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Figure 145: Accelerate Industrial Machine Connectivity to AWS IoT using Embassy of Things (EOT) Twin Talk Express Data Sharing Platform

185. Hybrid Active Directory Stretched Domain :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Demonstrates a single customer domain stretched to the AWS and VMware Cloud on AWS.PDFNetworking & Content Delivery

  • 2019-06-25T17:22:06+0000

185.1. Answer

hybrid-ad-stretched-domain.png

Figure 146: Hybrid Active Directory Stretched Domain

186. Architecture for Gateway Load Balancer – East/West Inspection :drill:aws_reference_architectures:aws:architecture:networking-content-dev:app-integration:

Use Gateway Load Balancer and Transit Gateway to create a highly available and scalable bump-in-the-wire solution for East/West inspection.PDFApplication Integration | Networking & Content Delivery

  • 2021-04-09T05:03:04+0000

186.1. Answer

gateway-load-balancer-inspection-east-west-ra.png

Figure 147: Architecture for Gateway Load Balancer – East/West Inspection

187. Architecture for Gateway Load Balancer – North/South Inspection :drill:aws_reference_architectures:aws:architecture:networking-content-dev:app-integration:

Use Gateway Load Balancer to create a highly available and scalable bump-in-the-wire solution for North/South inspection.PDFApplication Integration | Networking & Content Delivery

  • 2021-04-09T05:01:19+0000

187.1. Answer

gateway-load-balancer-inspection-north-south-ra.png

Figure 148: Architecture for Gateway Load Balancer – North/South Inspection

188. Microsoft SharePoint on VMware Cloud on AWS   drill aws_reference_architectures aws architecture databases

Provides information about how to deploy SharePoint on VMware Cloud in a Multi-AZ environment on AWS.PDFDatabases | Microsoft

  • 2019-06-25T17:21:43+0000

188.1. Answer

ms-sharepoint-vmware-aws.png

Figure 149: Microsoft SharePoint on VMware Cloud on AWS

189. Resilient AWS IoT Events Alarm for AWS IoT SiteWise   drill aws_reference_architectures aws architecture iot

Reference architecture to efficiently monitor AWS IoT SiteWise metrics using an AWS IoT Events alarm on an unstable network connection.PDFInternet of Things

  • 2021-04-07T17:20:22+0000

189.1. Answer

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Figure 150: Resilient AWS IoT Events Alarm for AWS IoT SiteWise

190. Remote Desktop for EDA   drill aws_reference_architectures aws architecture compute

Launch Xilinx Vivado Design Suite using a NICE DCV Remote Desktop on AWS.PDFCompute | Electronics | Manufacturing | Semiconductors

  • 2019-09-24T18:00:55+0000

190.1. Answer

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Figure 151: Remote Desktop for EDA

191. Scaling Synopsys SiliconSmart on AWS   drill aws_reference_architectures aws architecture compute

This reference architecture shows how to scale 100k+ jobs concurrently using Scale-Out Computing on AWS. PDF Compute | Electronics | Manufacturing | EDA | Semiconductor

  • 2021-04-01T19:16:05+0000

191.1. Answer

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Figure 152: Scaling Synopsys SiliconSmart on AWS

192. Managing Inserts and Upserts in a Serverless Data Lake   drill aws_reference_architectures aws architecture

Leverage Apache Hudi running on Amazon EMR to process inserts and updates to data sets in Amazon S3 to build a cost effective and scalable data lake. This enables the provisioning of on-demand analytics, helping data scientists, and creating persistent data marts as necessary to help manage business agility with a lower total cost of ownership. PDF Hospitality | Travel

  • 2021-04-01T14:16:05+0000

192.1. Answer

big-data-inserts-and-upserts-ra.png

Figure 153: Managing Inserts and Upserts in a Serverless Data Lake

193. Asynchronous Online Gaming :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Mobile and online games workloads are a natural fit for running on Amazon Web Services, due to unexpected traffic patterns & highly demanding request rates. AWS provides the flexibility to start small and power up your architecture in response to your players.PDFNetworking & Content Delivery | Game Tech

  • 2019-06-25T17:21:34+0000

193.1. Answer

online-games.png

Figure 154: Asynchronous Online Gaming

194. AWS Industrial Predictive Maintenance Machine Learning Model with Modbus Communication :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Create a Predictive Maintenance (PdM) Machine Learning (ML) model using AWS IoT SiteWise and AWS IoT Analytics with Amazon SNS anomaly detection notifications.PDFInternet of Things | Machine Learning & AI | Manufacturing

  • 2019-07-08T20:56:58+0000

194.1. Answer

aws-industrial-pdm-ml-modbus-ra.png

Figure 155: AWS Industrial Predictive Maintenance Machine Learning Model with Modbus Communication

195. Serverless Web App Real-Time Data Broadcasting   drill aws_reference_architectures aws architecture

Create a movie voting application using AWS AppSync, AWS Lambda, AWS Step Functions, and Amazon DynamoDB.PDFServerless

  • 2019-08-16T18:13:53+0000

195.1. Answer

serverless-web-app-real-time-data-broadcasting.png

Figure 156: Serverless Web App Real-Time Data Broadcasting

196. AWS Industrial Predictive Maintenance Machine Learning Model and Anomaly Detection :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Create a Predictive Maintenance (PdM) Machine Learning (ML) model using Amazon SageMaker with AWS IoT Core and an anomaly detection application using Amazon Kinesis Data Analytics. PDF Internet of Things | Machine Learning & AI | Consumer Packaged Goods (CPG) | Manufacturing

  • 2019-07-08T20:56:52+0000

196.1. Answer

aws-industrial-pdm-ml-anomaly-ra.png

Figure 157: AWS Industrial Predictive Maintenance Machine Learning Model and Anomaly Detection

197. AWS Industrial Predictive Maintenance Machine Learning Model :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

This architecture diagram shows you how to build a data lake using AWS IoT sensors, real-time data streams, alerts, visualization, and integrated workflow with Enterprise Resource Planning (ERP) to analyze factory data for predictive maintenance and improve equipment uptime.HTML | PDF | PPTInternet of Things | Machine Learning & AI | Manufacturing

  • 2019-07-08T20:56:41+0000

198. Connected Home – Command & Control   drill aws_reference_architectures aws architecture

Integrate Alexa with your connected home devices.PDF

  • 2019-06-25T17:22:50+0000

198.1. Answer

connected-home-command-control.png

Figure 158: Connected Home – Command & Control

200. Modernize Applications with Microservices Architecture using Amazon EKS   drill aws_reference_architectures aws architecture containers devtools compute

Integrate Amazon EKS with VMware Cloud on AWS and use AWS DevOps tools to accelerate application modernizationHTML | PDF | PPTCompute | Containers | Developer Tools

  • 2021-04-12T19:11:27+0000

201. Industrial DataOps using HighByte Intelligence Hub and Element Unify: Solution guidance for Industrial Data Fabric   drill aws_reference_architectures aws architecture

Use this architecture to create an enterprise-governed model and ingest real-time and historical data at scale from edge data sources into an AWS IDF while interfacing with applications using REST APIs.HTML | PDF | PPTManufacturing

  • 2023-07-31T15:25:09+0000

202. Web3 Decentralized Applications on AWS   drill aws_reference_architectures aws architecture compute

Use this architecture as a reference for developing static hosted web applications that communicate with a blockchain network through an Amazon Managed Blockchain node.HTML | PDF | PPTCompute

  • 2023-08-10T01:15:53+0000

203. Secure HTAP Data Architecture Using TiDB Cloud   drill aws_reference_architectures aws architecture databases

This reference architecture outlines a modern hybrid transactional/analytical processing (HTAP) data stack on AWS. It uses TiDB, an advanced, open-source, distributed SQL database that powers REST and GraphQL APIs, and near real-time analytics. HTML | PDF | PPT Databases

  • 2023-06-15T20:39:28+0000

204. Local Clusters for Amazon EKS on AWS Outposts   drill aws_reference_architectures aws architecture

This architecture demonstrates how to deploy a local cluster for Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Outposts. PDF General Enterprise

  • 2023-06-05T18:23:48+0000

204.1. Answer

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Figure 159: Local Clusters for Amazon EKS on AWS Outposts

205. OpenText InfoArchive Architecture using Amazon EKS   drill aws_reference_architectures aws architecture containers

Run OpenText InfoArchive on Amazon Elastic Kubernetes Service (Amazon EKS).HTML | PDF | PPTContainers

  • 2021-09-21T00:13:16+0000

206. IBM Planning Analytics with Watson on AWS   drill aws_reference_architectures aws architecture

This architecture highlights IBM TM1 Server on AWS IBM Planning Analytics as an integrated planning solution using AI to automate and build intelligent workflows. PDF General Enterprise

  • 2023-05-16T22:08:08+0000

206.1. Answer

ibm-planning-analytics-with-watson-ra.png

Figure 160: IBM Planning Analytics with Watson on AWS

207. Near Real-Time IoT Analytics with AWS and IBM CP4D   drill aws_reference_architectures aws architecture analytics

This architecture demonstrates how to build near real-time IOT analytics with machine learning by using IBM Cloud Pak for DATA (CP4D) running on AWS. HTML | PDF | PPT Analytics | Power & Utilities

  • 2023-05-23T18:45:36+0000

208. Veeam Backup on VMware Cloud on AWS   drill aws_reference_architectures aws architecture databases storage compute

Repository options for storing backup data with Veeam using native AWS Cloud storage (Amazon EC2, Amazon EBS & Amazon S3) on the VMware Cloud platform.PDFCompute | Databases | Storage

  • 2019-10-01T18:19:35+0000

208.1. Answer

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Figure 161: Veeam Backup on VMware Cloud on AWS

209. Connected Home – Telemetry   drill aws_reference_architectures aws architecture iot

Measuring and collecting data from smart home devices.PDFInternet of Things

  • 2019-11-12T23:38:28+0000

209.1. Answer

connected-home-telemetry-ra.png

Figure 162: Connected Home – Telemetry

210. Producing Data to InforOS over SFTP :drill:aws_reference_architectures:aws:architecture:migration:app-integration:

Integrate applications with Infor CloudSuite leveraging bulk data transfer over SFTPPDFApplication Integration | Migration

  • 2021-03-22T03:49:03+0000

210.1. Answer

producing-data-to-infor-over-sftp-ra.png

Figure 163: Producing Data to InforOS over SFTP

211. Consuming Data from InforOS over SFTP :drill:aws_reference_architectures:aws:architecture:migration:app-integration:

Integrate applications with Infor CloudSuite leveraging bulk data transfer over SFTPPDFApplication Integration | Migration

  • 2021-03-22T03:54:28+0000

211.1. Answer

consuming-data-from-infor-over-sftp-ra.png

Figure 164: Consuming Data from InforOS over SFTP

212. Simplify Hybrid Cloud Management using AWS Systems Manager   drill aws_reference_architectures aws architecture compute

Use AWS Systems Manager to manage both Amazon EC2 instances and VMware Cloud on AWS.PDFCompute

  • 2019-11-19T17:39:43+0000

212.1. Answer

vmware-hybrid-cloud-mgmt-aws-systems-manager.png

Figure 165: Simplify Hybrid Cloud Management using AWS Systems Manager

213. Data Domain Cloud Disaster Recovery for VMware Cloud on AWS   drill aws_reference_architectures aws architecture compute

Fully Automated DR Solution for VMware Cloud on AWS with low RTO and RPO.PDFCompute

  • 2019-07-01T19:57:09+0000

213.1. Answer

data-domain-cloud-dr-vmware-ra.png

Figure 166: Data Domain Cloud Disaster Recovery for VMware Cloud on AWS

214. Using Veeam Cloud Tier to Restore to VMware Cloud on AWS   drill aws_reference_architectures aws architecture storage compute

Use Veeam’s Cloud Tier with native AWS services to restore to VMware Cloud on AWS.PDFCompute | Storage

  • 2019-06-25T17:21:19+0000

214.1. Answer

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Figure 167: Using Veeam Cloud Tier to Restore to VMware Cloud on AWS

215. Load Balance a Hybrid Horizon Environment on VMware Cloud on AWS :drill:aws_reference_architectures:aws:architecture:networking-content-dev   compute

One example of how to configure load balancing for a hybrid Horizon environment across an on-premises environment and a VMware Cloud on AWS environment.PDFCompute | Networking & Content Delivery

  • 2019-09-04T00:11:15+0000

215.1. Answer

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Figure 168: Load Balance a Hybrid Horizon Environment on VMware Cloud on AWS

216. Aircraft Predictive Maintenance :drill:aws_reference_architectures:aws:architecture:databases:analytics:storage:serverless:ai-ml:

Reducing unscheduled maintenance delays and cancellations using AI/ML.PDFAnalytics | Databases | Machine Learning & AI | Serverless | Storage | Travel

  • 2019-09-19T19:28:39+0000

216.1. Answer

travel-ra-predictive-maintenance.png

Figure 169: Aircraft Predictive Maintenance

217. AI/ML Based Intelligent Email Responder :drill:aws_reference_architectures:aws:architecture:ai-ml:

Improve customer experience and agent productivity by using Amazon Simple Email Service and Amazon Machine Learning services to create an intelligent email responder workflow. PDF Machine Learning & AI | Hospitality | Travel

  • 2019-11-06T18:29:54+0000

217.1. Answer

intelligent-email-responder-ra.png

Figure 170: AI/ML Based Intelligent Email Responder

218. Contract Lifecycle Management and Modeling :drill:aws_reference_architectures:aws:architecture:analytics:compute:ai-ml:

Improve contract lifecycle management and facilitate contract modeling by providing seamless access to current and historical transactions, competitive market data, agency data, and contracts data combined with analytics tools and elastic compute. PDF Analytics | Compute | Machine Learning & AI | Hospitality | Travel

  • 2019-12-27T22:19:29+0000

218.1. Answer

contract-lifecycle-model-ra.png

Figure 171: Contract Lifecycle Management and Modeling

219. Amazon Alexa Skill for Airlines :drill:aws_reference_architectures:aws:architecture:analytics:ai-ml:

Alexa Skill for booking and managing air travel. PDF Analytics | Machine Learning & AI | Hospitality | Travel

  • 2019-12-27T21:03:15+0000

219.1. Answer

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Figure 172: Amazon Alexa Skill for Airlines

220. Using the Federal Aviation Administration SWIM Data Lake   drill aws_reference_architectures aws architecture

The Federal Aviation Administration (FAA) System Wide Information Management (SWIM) Data Lake enables real-time delivery of relevant aeronautical flight and weather information to help airline companies optimize operations. PDF Hospitality | Travel

  • 2019-11-08T21:00:38+0000

220.1. Answer

faa-swim-data-lake.png

Figure 173: Using the Federal Aviation Administration SWIM Data Lake

221. Serverless Notifications for Mobile Games   drill aws_reference_architectures aws architecture

Build a scalable pipeline with simultaneous transaction processing. PDF Game Tech | Serverless

  • 2019-10-04T23:47:14+0000

221.1. Answer

serverless-notifications-mobile-games-ra.png

Figure 174: Serverless Notifications for Mobile Games

222. Streaming Airline Ticket Shopping Insights   drill aws_reference_architectures aws architecture databases analytics storage serverless

Predictive analytics on timeseries airline shopping data.PDF | Case StudyAnalytics | Databases | Serverless | Storage | Hospitality | Travel

  • 2019-09-18T20:47:25+0000

222.1. Answer

airline-ticket-shopping-ra.png

Figure 175: Streaming Airline Ticket Shopping Insights

223. Aircraft Turn Tracking Passive Data Collection :drill:aws_reference_architectures:aws:architecture:analytics:databases:storage:iot:serverless:ai-ml:

Use Amazon Web Services (AWS) tools and technologies for passive data collection of discrete aircraft turn events at the airport gate.PDFAnalytics | Databases | Internet of Things | Machine Learning & AI | Serverless | Storage | Hospitality | Travel

  • 2019-09-13T19:53:59+0000

223.1. Answer

aircraft-turn-tracking-ra.png

Figure 176: Aircraft Turn Tracking Passive Data Collection

224. SQL Based Data Processing in Amazon ECS   drill aws_reference_architectures aws architecture analytics

Build a configuration-driven, codeless extract-transform-load (ETL) alternative using a containerized ETL framework (ARC) that simplifies and accelerates data processing with Apache Spark.PDFAnalytics

  • 2019-11-11T20:29:49+0000

224.1. Answer

sql-based-data-process-ra.png

Figure 177: SQL Based Data Processing in Amazon ECS

225. Siemens Teamcenter Product Lifecycle Management on AWS   drill aws_reference_architectures aws architecture

Highly available cloud architecture diagram For Siemens Teamcenter with Siemens Active Workspace and visualization with Siemens Managed Service PDF Manufacturing | Customer Engagement

  • 2021-03-08T19:11:57+0000

225.1. Answer

siemens-teamcenter-ra.png

Figure 178: Siemens Teamcenter Product Lifecycle Management on AWS

226. DERMS on AWS for Utilities :drill:aws_reference_architectures:aws:architecture:analytics:ai-ml:

Run your Distributed Energy Resource Management Systems (DERMS) on AWS to meet increasing demand to monitor, forecast, and control your wind, solar, battery, and emerging “green” DERs. Deploy a scalable solution to effectively match generation with load, improve grid resiliency and reliability. Use the right compute, data store, and analytics tools to gain operational and customer insights, and run proactive and meaningful analytics using machine learning (ML). PDF Analytics | Machine Learning & AI | Power & Utilities

  • 2020-11-02T15:52:25+0000

226.1. Answer

derms-platform-for-utlities-ra.png

Figure 179: DERMS on AWS for Utilities

227. Decoupled Serverless Scheduler   drill aws_reference_architectures aws architecture compute

Deploy a decoupled serverless scheduler to run any HPC application at scale. PDF Compute | Consumer Packaged Goods (CPG) | Electronics | Manufacturing | Semiconductors

  • 2019-11-27T16:26:40+0000

227.1. Answer

decoupled-serverless-scheduler-ra.png

Figure 180: Decoupled Serverless Scheduler

228. EDA on AWS with IBM Spectrum LSF   drill aws_reference_architectures aws architecture compute

Information about how to run EDA workloads on AWS with LSF Resource Connector. PDF Compute | Electronics | Manufacturing

  • 2019-10-14T18:18:47+0000

228.1. Answer

eda-ibm-spectrum-lsf-ra.png

Figure 181: EDA on AWS with IBM Spectrum LSF

229. Temenos T24 Transact   drill aws_reference_architectures aws architecture

The core banking solution from Temenos uses AWS managed services to provide security and elasticity with low maintenance overhead.PDFFinancial Services

  • 2019-11-12T20:16:35+0000

229.1. Answer

temenos-on-aws.png

Figure 182: Temenos T24 Transact

230. Customer Engagement Using AI/ML for Airlines :drill:aws_reference_architectures:aws:architecture:ai-ml:

Improve customer experience and brand loyalty by personalizing interactions with the customer and improving the call time and response time. PDF Machine Learning & AI | Hospitality | Travel

  • 2019-11-14T23:33:19+0000

230.1. Answer

travel-customer-engagement-ra.png

Figure 183: Customer Engagement Using AI/ML for Airlines

231. Facilitate Social Distancing using IoT and AI/ML :drill:aws_reference_architectures:aws:architecture:analytics:iot:ai-ml:

Build social distancing applications that use cameras to monitor activity, use computer vision to actively measure separation and distancing, and provide visual and audible alerts and feedback to maintain social distance. PDF Analytics | Internet of Things | Machine Learning & AI | Hospitality | Travel

  • 2020-07-27T22:15:06+0000

231.1. Answer

social-distancing-ra.png

Figure 184: Facilitate Social Distancing using IoT and AI/ML

232. Airline Schedule Engine :drill:aws_reference_architectures:aws:architecture:analytics:compute:ai-ml   serverless

Reduce the total cost of ownership using purpose-built databases, serverless architecture, and data lakes to create a scalable, configurable, and fault tolerant tier-0 system for serving fast flight lookups and schedule lookups for an airline.PDFAnalytics | Compute | Machine Learning & AI | Serverless | Hospitality | Travel

  • 2020-02-14T22:53:51+0000

232.1. Answer

airline-scheduler-ra.png

Figure 185: Airline Schedule Engine

233. Airline Data Platform with Master Data Management :drill:aws_reference_architectures:aws:architecture:serverless:ai-ml:

Enhance the data platform by using master data management (MDM) tools to identify unique travelers and duplicates in loyalty membership. This approach allows for developing a single view of customer above and beyond loyalty members.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2019-11-15T22:44:02+0000

233.1. Answer

svoc-data-platform-mdm-ra.png

Figure 186: Airline Data Platform with Master Data Management

234. Mobile In-App Purchase Validation on AWS   drill aws_reference_architectures aws architecture mobile

An architecture for validating in-app purchases and managing refunds on AWS with a serverless backend.PDFFront-End Web & Mobile | Game Tech | Customer Engagement

  • 2021-01-13T04:36:39+0000

234.1. Answer

in-app-receipt-validation-ra.png

Figure 187: Mobile In-App Purchase Validation on AWS

235. Amazon RDS on AWS Outposts :drill:aws_reference_architectures:aws:architecture:databases:app-integration:

Reference Architecture for deploying Amazon Relational Database Service (Amazon RDS) on AWS Outposts.PDFApplication Integration | Databases

  • 2021-01-13T03:09:52+0000

235.1. Answer

amazon-rds-on-aws-outposts-ra.png

Figure 188: Amazon RDS on AWS Outposts

236. Player Churn Prediction and Retention   drill aws_reference_architectures aws architecture compute

Use machine learning to predict player churn and trigger retention actions. Use Amazon SageMaker to build, train, and deploy a churn prediction model for batch or real-time inference. PDF Compute | Game Tech

  • 2021-01-08T23:52:50+0000

236.1. Answer

player-churn-prediction-retention-f2p-ra.png

Figure 189: Player Churn Prediction and Retention

237. Cloud-native Contact Center Reference Architecture for Multilingual IT Service Desk   drill aws_reference_architectures aws architecture

Use AWS building blocks for modernizing the IT service desk with an intelligent, omnichannel-based contact center capability using Amazon Connect. This reference architecture supports voice, web, mobile, and conversational chatbot channels, including end user sentiment analysis, automation, real-time analytics dashboard, and reporting. PDF Consumer Packaged Goods (CPG) | Customer Engagement

  • 2021-01-07T02:59:51+0000

237.1. Answer

cloud-native-contact-center-multilingual-ra.png

Figure 190: Cloud-native Contact Center Reference Architecture for Multilingual IT Service Desk

238. Deploying E2E 5G Network with AWS: 5G RAN, Edge, Core, and Data Network :drill:aws_reference_architectures:aws:architecture:mobile:networking-content-dev:

This reference architecture explains how different AWS Services can be used together to deliver an end-to-end 5G network.PDFFront-End Web & Mobile | Networking & Content Delivery | Telecommunications

  • 2020-12-28T22:46:21+0000

238.1. Answer

5g-with-aws-ra.png

Figure 191: Deploying E2E 5G Network with AWS: 5G RAN, Edge, Core, and Data Network

239. Deploying 5G Core on AWS: Distribute Your 5G Core to On-premises Data Centers :drill:aws_reference_architectures:aws:architecture:mobile:networking-content-dev:

This reference architecture explains how 5G Core can be distributed between on-premises data centers and AWS Regions.PDFFront-End Web & Mobile | Networking & Content Delivery | Telecommunications

  • 2020-12-29T00:15:59+0000

239.1. Answer

deploying-5g-core-on-aws-ra.png

Figure 192: Deploying 5G Core on AWS: Distribute Your 5G Core to On-premises Data Centers

240. Account and Security Strategy for the Serverless Data Platform :drill:aws_reference_architectures:aws:architecture:security-identity-compliance:

A multi-account strategy is a best practice used to provide resources and security isolation for workloads, and to help with categorization and for reducing blast radius. An analytics architecture demands data governance with high security standards, granting the correct access level to users. PDF Security, Identity, & Compliance | Hospitality | Travel

  • 2020-12-22T04:25:57+0000

240.1. Answer

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Figure 193: Account and Security Strategy for the Serverless Data Platform

241. Mobile Application for Social Distancing :drill:aws_reference_architectures:aws:architecture:app-integration:

Tripadvisor built a social distancing application called Crowdfree that enables users to see people’s presence in stores and public spaces. The app leverages serverless architecture, purpose-built databases, and data lakes. PDF Application Integration | Hospitality | Travel

  • 2020-12-22T03:45:52+0000

241.1. Answer

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Figure 194: Mobile Application for Social Distancing

242. Algorithmic Trading on AWS   drill aws_reference_architectures aws architecture

AWS Fargate, Amazon ECS, and Amazon SageMaker are used for backtesting and hosting machine learning-based algorithmic trading strategies. Historical market data is loaded via AWS Data Exchange, and made accessible via Amazon Athena. Real-time market data connectors and broker gateways are hosted as containers, and transactional data is kept in Amazon DynamoDB. PDF Financial Services

  • 2020-12-22T03:14:06+0000

242.1. Answer

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Figure 195: Algorithmic Trading on AWS

243. Geofencing with Amazon Location Service and AWS IoT: Tracking high-value equipment leaving or entering premises   drill aws_reference_architectures aws architecture iot

Asset coordinates to IoT Core via telemetry forwarded to AWS Location Service Trackers for generating and acting on Geofence enter/exit eventsPDFInternet of Things

  • 2020-12-21T20:18:03+0000

243.1. Answer

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Figure 196: Geofencing with Amazon Location Service and AWS IoT: Tracking high-value equipment leaving or entering premises

244. Oracle Data Workload Migration to AWS Cloud   drill aws_reference_architectures aws architecture databases analytics migration

Migrate Oracle workloads and non Oracle workloads from on-premises to Amazon Aurora for operational reporting of OLTP data and to Snowflake Data Warehouse for historical reporting of OLAP data.PDFAnalytics | Databases | Migration

  • 2020-12-17T19:08:35+0000

244.1. Answer

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Figure 197: Oracle Data Workload Migration to AWS Cloud

245. CloudFront Real-time Monitoring Architecture   drill aws_reference_architectures aws architecture databases serverless

Serverless method for processing Amazon CloudFront real-time logs and converting them into time-series metrics.PDFDatabases | Serverless

  • 2020-11-24T22:21:02+0000

245.1. Answer

cloudfront-real-time-monitoring-ra.png

Figure 198: CloudFront Real-time Monitoring Architecture

246. Customer Engagement Using AI/ML for Restaurants :drill:aws_reference_architectures:aws:architecture:ai-ml   serverless

Enhance the customer experience and increase brand loyalty by personalizing interactions with guests. Improve contact center and telephone call response time. Quickly recognize your guests, their needs and goals, and optimize the interaction.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2020-11-20T22:22:11+0000

246.1. Answer

customer-engagement-restaurants-ra.png

Figure 199: Customer Engagement Using AI/ML for Restaurants

247. Guest 360° Data Platform for Restaurants   drill aws_reference_architectures aws architecture databases

Personalize and improve the customer experience by identifying known and unknown guests across all channels. Utilize customer interaction activity across all channels to present offers and campaigns that deliver high Return on Investment (ROI).PDFDatabases | Media & Entertainment | Customer Engagement

  • 2020-11-17T21:43:27+0000

247.1. Answer

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Figure 200: Guest 360° Data Platform for Restaurants

248. Guest 360 Data Platform for Lodging :drill:aws_reference_architectures:aws:architecture:ai-ml:

Personalize and improve the customer experience by identifying known and unknown guests across all channels. Utilize customer interaction activity across all channels to present offers and campaigns that deliver high Return on Investment (ROI). PDF Machine Learning & AI | Hospitality | Travel | Customer Engagement

  • 2020-11-17T01:39:15+0000

248.1. Answer

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Figure 201: Guest 360 Data Platform for Lodging

249. Traveler 360 Data Platform for Airlines :drill:aws_reference_architectures:aws:architecture:ai-ml:

Personalize and improve the customer experience by identifying known and unknown travelers across all channels. Utilize customer interaction activity across all channels to execute offers and campaigns that delivery high return on investment (ROI). PDF Machine Learning & AI | Hospitality | Travel | Serverless

  • 2020-11-11T20:14:09+0000

249.1. Answer

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Figure 202: Traveler 360 Data Platform for Airlines

250. Massive Scale Real-Time Messaging for Multiplayer Games   drill aws_reference_architectures aws architecture databases compute

Real-time messaging for delivering notifications to players in multiplayer games that can scale to support millions of concurrent users (CCU) using multiple Redis PubSub clusters with Amazon ElastiCache and WebSockets. PDF Compute | Databases | Game Tech

  • 2021-01-04T10:40:50+0000

250.1. Answer

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Figure 203: Massive Scale Real-Time Messaging for Multiplayer Games

251. Connected Medical Devices with AWS IoT :drill:aws_reference_architectures:aws:architecture:networking-content-dev   iot

Manufacturer managed medical devices in hospitals, clinics, and homes. Device management, data collection, and insights for better patient care, cost savings, and new business models. PDF Internet of Things | Networking & Content Delivery | Healthcare

  • 2020-11-10T23:16:44+0000

251.1. Answer

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Figure 204: Connected Medical Devices with AWS IoT

252. OSIsoft PI System on AWS Outposts   drill aws_reference_architectures aws architecture analytics

Reference architecture to set up a PI System on an AWS Outposts rack on-premises, communicating back to AWS Region based resources. PDF Analytics | Life Sciences | Manufacturing | Power & Utilities | General Enterprise

  • 2020-11-06T20:46:14+0000

252.1. Answer

osisoft-pi-system-aws-outposts-ra.png

Figure 205: OSIsoft PI System on AWS Outposts

253. AWS Outposts –Networking Reference Architecture :drill:aws_reference_architectures:aws:architecture:networking-content-dev:app-integration:

An architectural overview of AWS Outposts connectivity for LAN, WAN, and Amazon VPCPDFApplication Integration | Networking & Content Delivery

  • 2020-11-02T20:43:20+0000

253.1. Answer

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Figure 206: AWS Outposts –Networking Reference Architecture

254. Manufacturing on AWS   drill aws_reference_architectures aws architecture iot

This architectural blueprint shows how the AWS Cloud can enable digital transformation for manufacturers and highlights how a smart factory, smart products, enterprise applications, and engineering and design workloads can be integrated using a data lake. PDF Agriculture | Automotive | Internet of Things | Manufacturing

  • 2020-10-28T23:10:35+0000

254.1. Answer

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Figure 207: Manufacturing on AWS

255. Dynamic Media Content for Games :drill:aws_reference_architectures:aws:architecture:media-services:

Build a serverless solution for customized in-game media content. This reference architecture uses request parameters and edge computing to provide a flexible way to serve dynamic content in loading screens or other parts of the game.PDFMedia Services | Game Tech

  • 2020-10-28T15:53:58+0000

255.1. Answer

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Figure 208: Dynamic Media Content for Games

256. Lab Instrument Log Acquisition and Analytics :drill:aws_reference_architectures:aws:architecture:security-identity-compliance   iot

Build a data pipeline to automate lab instrument log ingestion, collate metadata, and transform and downstream to FDA compliant electronic laboratory notebooks. Eliminate multiple second-person reviews for a drug discovery and development process. Experience easy search capabilities and REST API support.PDFInternet of Things | Security, Identity, & Compliance | Healthcare | Life Sciences

  • 2020-10-28T23:11:13+0000

256.1. Answer

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Figure 209: Lab Instrument Log Acquisition and Analytics

257. AWS Predictive Maintenance for Fleets   drill aws_reference_architectures aws architecture

Develop a predictive model using historical telemetry data from your vehicle fleet and then run that model against live telemetry to predict battery failures in your vehicles. PDF Automotive

  • 2020-10-21T19:57:09+0000

257.1. Answer

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Figure 210: AWS Predictive Maintenance for Fleets

258. Creating Multi-Account IoT Pipelines On-The-Fly :drill:aws_reference_architectures:aws:architecture:analytics:mgmt-govern   iot

Automatically deploy AWS IoT Analytics pipelines into different AWS Organizations accounts by leveraging Amazon Kinesis Data Analytics to buffer and route data from new devices and groups.PDFAnalytics | Internet of Things | Management & Governance

  • 2020-10-16T21:09:29+0000

258.1. Answer

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Figure 211: Creating Multi-Account IoT Pipelines On-The-Fly

259. Search and Booking Metrics in Travel and Hospitality   drill aws_reference_architectures aws architecture

Build a CDN platform for customer-facing websites to gather traffic data in real time. This enables for a detailed understanding of search and purchase patterns, enriching analytics data in real time, presenting data in Amazon Elasticsearch (real time) and Amazon QuickSight (historical/aggregated). PDF Hospitality | Travel

  • 2020-10-15T19:15:28+0000

259.1. Answer

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Figure 212: Search and Booking Metrics in Travel and Hospitality

260. Bot Mitigation for Travel and Hospitality   drill aws_reference_architectures aws architecture

Build a fully serverless CDN platform for travel and hospitality websites that detects and mitigates bots in real time to help reduce price scraping and automated purchases. PDF Hospitality | Travel

  • 2020-10-12T23:50:53+0000

260.1. Answer

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Figure 213: Bot Mitigation for Travel and Hospitality

261. Serverless Architecture for Global Applications   drill aws_reference_architectures aws architecture serverless

Improve customer experience on your global services by deploying into multiple AWS Regions and applying event-driven architectural patterns to reduce latency and increase performance, such as event sourcing, saga orchestration, and CQRS.PDFServerless | Hospitality | Travel

  • 2020-10-09T18:26:31+0000

261.1. Answer

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Figure 214: Serverless Architecture for Global Applications

262. Last Mile Delivery Reference Architecture   drill aws_reference_architectures aws architecture

Optimize your last mile delivery to achieve improved assets utilization and reduce OPEX by eliminating data siloes, enabling real-time data analysis and alerts dissemination. This serverless architecture integrates with upstream ERPs and edge devices, and feeds live data into the customer’s cloud based delivery system. PDF Transportation & Logistics

  • 2020-10-07T20:08:25+0000

262.1. Answer

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Figure 215: Last Mile Delivery Reference Architecture

263. Transportation and Logistics Data Lake   drill aws_reference_architectures aws architecture databases

Enable transportation and logistics companies to break data siloes and create a single repository for their data from multiple sources. This fully managed, pay-per-use and scalable architecture removes the complexity and costs of managing and synchronizing on-premises databases, establishing a unique source of truth for the business.PDFDatabases | Transport & Logistics

  • 2020-09-24T17:24:18+0000

263.1. Answer

transportation-and-logistics-data-lake-ra.png

Figure 216: Transportation and Logistics Data Lake

264. OSIsoft PI System Enterprise Data Infrastructure on AWS   drill aws_reference_architectures aws architecture analytics

Reference architecture for a highly available and load-balanced configuration of Roll-up PI System that aggregates data from multiple PI Systems across sites. PDF Analytics | Consumer Packaged Goods (CPG) | Life Sciences | Manufacturing | Power & Utilities | General Enterprise

  • 2020-09-17T19:13:42+0000

264.1. Answer

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Figure 217: OSIsoft PI System Enterprise Data Infrastructure on AWS

265. Edge Inference for Agriculture :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Enable edge inference in rural and remote agricultural environments using AWS IoT Greengrass.PDFInternet of Things | Machine Learning & AI | Agriculture

  • 2020-08-31T20:12:34+0000

265.1. Answer

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Figure 218: Edge Inference for Agriculture

266. Connected Lodging Properties Using IoT and AI/ML :drill:aws_reference_architectures:aws:architecture:analytics:iot:ai-ml:

Build smart, connected lodging properties that use IoT and AI/ML capabilities to provide touchless personalization of the room, maintain social distancing, monitor and manage queue depths, measure and monitor customer foot and vehicle traffic, and maintain cleanliness and sanitation. PDF Analytics | Internet of Things | Machine Learning & AI | Hospitality | Travel

  • 2020-08-28T18:42:00+0000

266.1. Answer

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Figure 219: Connected Lodging Properties Using IoT and AI/ML

267. Semiconductor and Electronics on AWS :drill:aws_reference_architectures:aws:architecture:analytics:networking-content-dev   storage iot compute

Enable collaboration and innovation from customer specification to silicon with this architectural deep dive into AWS services, data movement, analytics, and collaboration across the design process. PDF Analytics | Compute | Internet of Things | Networking & Content Delivery | Storage | Electronics | Manufacturing

  • 2020-08-26T20:29:39+0000

267.1. Answer

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Figure 220: Semiconductor and Electronics on AWS

268. PROS Revenue Management Platform on AWS :drill:aws_reference_architectures:aws:architecture:app-integration:networking-content-dev   compute

Create a highly available, secure, flexible, and cost effective architecture on AWS to host a PROS application with two modules: Origin & Destination (O&D) and Group Revenue Management System (GRMS). PDF Application Integration | Compute | Networking & Content Delivery | Hospitality | Travel

  • 2020-08-21T19:02:00+0000

268.1. Answer

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Figure 221: PROS Revenue Management Platform on AWS

269. Cerner HealtheDataLab on AWS   drill aws_reference_architectures aws architecture analytics

Use Cerner HealtheDataLab on AWS to develop machine learning models and algorithms for healthcare.PDFAnalytics | Healthcare

  • 2020-07-30T18:53:17+0000

269.1. Answer

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Figure 222: Cerner HealtheDataLab on AWS

270. Central Logging and Analytics in Hybrid Environments   drill aws_reference_architectures aws architecture analytics

Build a central logging and analytics solution to analyze Amazon CloudWatch logs from a hybrid environment, including VMware Cloud on AWS.PDFAnalytics

  • 2020-07-21T18:01:49+0000

270.1. Answer

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Figure 223: Central Logging and Analytics in Hybrid Environments

271. Connected Aircraft   drill aws_reference_architectures aws architecture analytics iot

Reference architecture for onboard flight data collection for fleet-wide analytics and predictive maintenance.HTML | PDF | PPTAnalytics | Internet of Things | Aerospace

  • 2020-07-16T20:36:15+0000

272. Property Optimizer for Lodging :drill:aws_reference_architectures:aws:architecture:analytics:app-integration:

Use a diverse set of data sources to help forecast demand and optimize property. PDF Analytics | Application Integration | Hospitality | Travel

  • 2020-04-16T23:37:52+0000

272.1. Answer

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Figure 224: Property Optimizer for Lodging

273. Temperature-Controlled Supply Chain End-to-End Management :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Connect facilities, track shipments, manage your equipment fleet, and operate remote, temperature-controlled storage at a global scale.PDFInternet of Things | Machine Learning & AI | Transport & Logistics

  • 2020-07-16T20:35:53+0000

273.1. Answer

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Figure 225: Temperature-Controlled Supply Chain End-to-End Management

274. Qubole Open Data Lake Platform on AWS   drill aws_reference_architectures aws architecture analytics compute

Run ad hoc, streaming, and machine learning workloads on a data lake using cost-effective Amazon EC2 Spot Instances infrastructure hosting Apache Spark, Presto, Hive, and Airflow engines.PDFAnalytics | Compute

  • 2020-07-16T20:36:09+0000

274.1. Answer

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Figure 226: Qubole Open Data Lake Platform on AWS

275. Airport Terminal Optimizer :drill:aws_reference_architectures:aws:architecture:analytics:app-integration:

Use a diverse set of data sources to help optimize terminal and gate openings. PDF Analytics | Application Integration | Travel

  • 2020-04-16T23:38:01+0000

275.1. Answer

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Figure 227: Airport Terminal Optimizer

276. Flight Planning Using Data Lakes and AI/ML :drill:aws_reference_architectures:aws:architecture:analytics:storage:ai-ml:

Use published schedules, flight information, airport weather observations/predictions, historical estimated and actual holding times, and on-route/surface aircraft data to improve hold time prediction, and estimation of departure clearance times.PDFAnalytics | Machine Learning & AI | Storage | Hospitality | Travel

  • 2020-07-16T20:36:22+0000

276.1. Answer

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Figure 228: Flight Planning Using Data Lakes and AI/ML

277. Predict Vessel Time of Arrival at Berth :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Use machine learning, historical and live data, and real-time alerts to predict vessel time of arrival at berth and coordinate cargo loading and off-loading operations.PDFInternet of Things | Machine Learning & AI | Transport & Logistics

  • 2020-07-16T20:36:01+0000

277.1. Answer

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Figure 229: Predict Vessel Time of Arrival at Berth

278. AWS Industrial IoT Predictive Quality Reference Architecture   drill aws_reference_architectures aws architecture iot

Create a computer vision predictive quality machine learning (ML) model using Amazon SageMakerwith AWS IoT Core, AWS IoT SiteWise, AWS IoT Greengrass, and AWS Lake Formation.PDFInternet of Things | Manufacturing

  • 2020-07-16T20:35:47+0000

278.1. Answer

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Figure 230: AWS Industrial IoT Predictive Quality Reference Architecture

279. PTC Windchill Product Lifecycle Management on AWS   drill aws_reference_architectures aws architecture

Highly available and load balanced configuration of Windchill on AWS that automatically scales on demand. PDF Consumer Packaged Goods (CPG) | Manufacturing | General Enterprise

  • 2020-07-16T20:35:41+0000

279.1. Answer

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Figure 231: PTC Windchill Product Lifecycle Management on AWS

280. AWS Industrial IoT Predictive Maintenance ML Model :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Create a Predictive Maintenance (PdM) Machine Learning (ML) model using AWS IoT SiteWise and AWS IoT Analytics.PDFInternet of Things | Machine Learning & AI | Manufacturing

  • 2019-07-08T20:56:47+0000

280.1. Answer

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Figure 232: AWS Industrial IoT Predictive Maintenance ML Model

281. Secure Cloud Computing Architecture (SCCA) on AWS GovCloud (US) :drill:aws_reference_architectures:aws:architecture:security-identity-compliance:

This architecture provides the prerequisite framework for securely running U.S. Department of Defense workloads and storing Impact Level 4 and 5 data on AWS GovCloud (US) Regions, according to DISA standards.PDFSecurity, Identity, & Compliance | Defense | General Public Services

  • 2020-06-30T22:50:54+0000

281.1. Answer

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Figure 233: Secure Cloud Computing Architecture (SCCA) on AWS GovCloud (US)

282. Manufacturing Data Lake :drill:aws_reference_architectures:aws:architecture:analytics:storage:iot:ai-ml:

Build a manufacturing data lake that includes operational technology data (industrial IoT and factory applications) with enterprise application data for manufacturing analytical use cases and predictions with machine learning (ML) models. PDF Analytics | Internet of Things | Machine Learning & AI | Storage | Consumer Packaged Goods (CPG) | Manufacturing

  • 2020-06-29T21:30:22+0000

282.1. Answer

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Figure 234: Manufacturing Data Lake

283. Pull Request Continuous Integration   drill aws_reference_architectures aws architecture devtools serverless

Build a continuous integration/continuous delivery (CI\CD) pipeline for Git pull requests.PDFDeveloper Tools | Serverless

  • 2020-06-08T18:37:19+0000

283.1. Answer

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Figure 235: Pull Request Continuous Integration

284. Customer Engagement Using AI/ML for Lodging :drill:aws_reference_architectures:aws:architecture:serverless:ai-ml:

Improve customer experience and brand loyalty by personalizing interactions with the customer and improving the call time and response time. This workflow quickly recognizes the customer, customer needs, intents, and optimizes the interactions.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2020-05-21T18:43:36+0000

284.1. Answer

lodging-cust-engagement-ra.png

Figure 236: Customer Engagement Using AI/ML for Lodging

285. Lodging Data Platform with Master Data Management :drill:aws_reference_architectures:aws:architecture:ai-ml   serverless

Enhance the data platform by using master data management (MDM) tools to identify unique travelers and duplicates in loyalty membership. This approach allows for developing a single view of customer above and beyond loyalty members.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2020-05-21T18:43:17+0000

285.1. Answer

lodging-data-platform-mdm-ra.png

Figure 237: Lodging Data Platform with Master Data Management

286. Personalization Using AI/ML for Lodging :drill:aws_reference_architectures:aws:architecture:serverless:ai-ml:

Personalize and improve the customer experience by proactively recognizing service changes and failures, recovering from failures, and interacting with the customer on their preferred communication channel.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2020-05-21T18:43:27+0000

286.1. Answer

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Figure 238: Personalization Using AI/ML for Lodging

287. Revenue Management Architecture for Lodging :drill:aws_reference_architectures:aws:architecture:serverless:ai-ml:

Migrate an on-premises revenue management system to Amazon Web Services (AWS) to add real-time capabilities, improve the flexibility and agility of reporting and analytics, and reduce the total cost of ownership (TCO) by using Spot Instances and big data architecture.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2020-05-21T18:43:46+0000

287.1. Answer

lodging-revenue-mgt-ra.png

Figure 239: Revenue Management Architecture for Lodging

288. Lodging Data Platform :drill:aws_reference_architectures:aws:architecture:ai-ml   serverless

Build a data platform to serve both operational and analytics needs using open data standards, purpose-built databases, and extensible serverless architecture.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2020-05-21T18:43:08+0000

288.1. Answer

lodging-data-platform-ra.png

Figure 240: Lodging Data Platform

289. Airlines Data Platform :drill:aws_reference_architectures:aws:architecture:serverless:ai-ml:

Build a data platform to serve both operational and analytics needs using open data standards, purpose-built databases, and extensible serverless architecture.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2019-11-15T00:46:19+0000

289.1. Answer

svoc-data-platform-travel-ra.png

Figure 241: Airlines Data Platform

290. AWS Industrial IoT Asset Condition Monitoring   drill aws_reference_architectures aws architecture iot

Create a solution to monitor the health of factory equipment, detect fault conditions, and respond to events using AWS IoT SiteWise, AWS IoT Greengrass, AWS IoT Core, and AWS IoT Events.PDFInternet of Things

  • 2019-08-20T22:30:21+0000

290.1. Answer

aws-industrial-asset-condition-monitoring-ra.png

Figure 242: AWS Industrial IoT Asset Condition Monitoring

291. Personalization Using AI/ML for Airlines :drill:aws_reference_architectures:aws:architecture:serverless:ai-ml:

Personalize and improve the customer experience by proactively recognizing service changes and failures, recovering from failures, and interacting with the customer on their preferred communication channel.PDFMachine Learning & AI | Serverless | Hospitality | Travel

  • 2019-11-15T00:56:23+0000

291.1. Answer

personalization-travel-ra.png

Figure 243: Personalization Using AI/ML for Airlines

292. Introduction to Semiconductor and Electronics on AWS   drill aws_reference_architectures aws architecture compute

Architectural overview of AWS services and data movement options for semiconductor design workflows. PDF Compute | Electronics | Manufacturing

  • 2020-02-21T20:31:18+0000

292.1. Answer

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Figure 244: Introduction to Semiconductor and Electronics on AWS

293. WordPress Hosting :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Simplifies the complexity of deploying a scalable and highly available WordPress site on AWS.CodeNetworking & Content Delivery

  • 2019-06-25T17:21:05+0000

294. Drupal Hosting :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

Enables you to deploy a scalable and highly available Drupal site on AWS.CodeNetworking & Content Delivery

  • 2019-06-25T17:22:35+0000

295. Image Moderation Chatbot :drill:aws_reference_architectures:aws:architecture:media-services   serverless

Shows you how to build a serverless chatbot on AWS that monitors your chat channels and removes images containing suggestive or explicit content.CodeMedia Services | Serverless

  • 2019-06-25T17:21:57+0000

296. Electro-Optical Imagery Reference Architecture   drill aws_reference_architectures aws architecture

Reference architecture that shows how to process electro-optical imagery on AWS. HTML | PDF | PPT Aerospace | Defense

  • 2021-05-13T22:30:24+0000

297. Smart Farm on AWS :drill:aws_reference_architectures:aws:architecture:analytics:iot:ai-ml:

This Connected Farm reference architecture enables sensors, computer vision, and edge inference in agriculture by focusing on ensuring scalability, elasticity, and a responsiveness for each operation’s growing and changing needs. HTML | PDF | PPT Analytics | Internet of Things | Machine Learning & AI | Agriculture

  • 2020-07-24T19:23:41+0000

298. Serverless Web Hosting on AWS App Runner   drill aws_reference_architectures aws architecture

These reference architecture diagrams detail scenarios for how to run serverless, containerized web applications without the need to provision or manage infrastructure. HTML | PDF | PPT Education

  • 2023-05-05T17:34:52+0000

299. IBM DataStage on AWS with IBM CP4D   drill aws_reference_architectures aws architecture

This architecture shows how to build a modern, cloud native, secure data integration solution to collect, transform, enrich, and deliver data at any scale and complexity. HTML | PDF | PPT General Enterprise

  • 2023-05-09T16:51:53+0000

300. Satellite Operator Development and Test Resiliency   drill aws_reference_architectures aws architecture

Satellite operator customers can use this architecture to achieve development and test resiliency for non-critical workloads by using separate connections that terminate on separate devices in one location.PDFAerospace

  • 2023-04-26T03:56:07+0000

300.1. Answer

satellite-operator-development-and-test-resiliency-ra.png

Figure 245: Satellite Operator Development and Test Resiliency

301. Build a Healthcare Data Pipeline on AWS with IBM Cloud Pak for Data :drill:aws_reference_architectures:aws:architecture:ai-ml:

Build data pipelines and use machine learning models to predict patient treatment outcome, readmission rate, or disease progression. HTML | PDF | PPT Machine Learning & AI | Healthcare

  • 2023-04-19T20:48:03+0000

302. Hybrid Remote Proctoring Solution :drill:aws_reference_architectures:aws:architecture:ai-ml:

Hybrid remote proctoring is for education use cases where students can be monitored live by a human with AI assistance to highlight prohibited objects and behaviors. This solution can be used for in-person exams as well as remote exams.PDFMachine Learning & AI | Education

  • 2023-04-17T22:57:52+0000

302.1. Answer

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Figure 246: Hybrid Remote Proctoring Solution

303. Game Production in the Cloud - Workstations   drill aws_reference_architectures aws architecture

This reference architecture walks through the use of streaming remote workstations with the NICE DCV protocol. It covers the high level considerations for use of cloud development workstations for games.HTML | PDF | PPTGame Tech

  • 2021-07-15T19:46:50+0000

304. Video stream from cloud to satellite and internet   drill aws_reference_architectures aws architecture

Use this architecture to build a highly reliable, available, scalable, and secure video workflow with AWS managed services.PDFAerospace

  • 2023-04-13T23:17:31+0000

304.1. Answer

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Figure 247: Video stream from cloud to satellite and internet

305. Computer Vision for Quality Insights with IBM Maximo Application Suite on AWS   drill aws_reference_architectures aws architecture

This diagram demonstrates how IBM Maximo Visual Inspection can be used in a modernized AWS environment. PDF Manufacturing

  • 2023-04-12T21:42:28+0000

305.1. Answer

ibm-maximo-quality-insights-ra.png

Figure 248: Computer Vision for Quality Insights with IBM Maximo Application Suite on AWS

306. Access Data in Amazon Timestream with AWS AppSync   drill aws_reference_architectures aws architecture

Learn how to use AWS AppSync to build the GraphQL API on sensor data that is stored in Amazon Timestream, a time series database. PDF Digital Marketing

  • 2023-04-11T19:06:58+0000

306.1. Answer

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Figure 249: Access Data in Amazon Timestream with AWS AppSync

307. Revenue Management Architecture for Airlines :drill:aws_reference_architectures:aws:architecture:analytics:compute:ai-ml:

Migrate an on-premises revenue management system to AWS to add real-time capabilities, improve the flexibility and agility of reporting and analytics, and reduce TCO.PDFAnalytics | Compute | Machine Learning & AI | Hospitality | Travel

  • 2019-12-30T19:29:57+0000

307.1. Answer

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Figure 250: Revenue Management Architecture for Airlines

308. Database DevOps on AWS   drill aws_reference_architectures aws architecture databases

Use these architectures in the development or production workflows to automate database changes as part of the DevOps practice.PDFDatabases

  • 2023-04-04T22:48:16+0000

308.1. Answer

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Figure 251: Database DevOps on AWS

309. Oracle PeopleSoft on AWS   drill aws_reference_architectures aws architecture compute

This standard production architecture shows customers how to deploy a highly available and resilient Oracle PeopleSoft production environment on AWS. HTML | PDF | PPT Compute

  • 2023-03-30T16:47:31+0000

310. DynamoDB Global Replication with Data Localization   drill aws_reference_architectures aws architecture analytics

This architecture enables global data-item replication with scalability and performance while working to comply with data localization mandates for data stored in a specific Region only. PDF Analytics

  • 2023-03-15T15:18:54+0000

310.1. Answer

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Figure 252: DynamoDB Global Replication with Data Localization

311. Alfresco Digital Business Platform on AWS :drill:aws_reference_architectures:aws:architecture:storage:networking-content-dev:

Use this architecture to deploy a highly-available Alfresco Digital Business Platform on AWS that offers Alfresco Content Services (ECM), Alfresco Process Services (BPM), and add-on components for search, information governance, rendition, and machine learning (ML).PDFNetworking & Content Delivery | Storage | General Enterprise

  • 2020-10-30T22:38:37+0000

311.1. Answer

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Figure 253: Alfresco Digital Business Platform on AWS

312. IBM Instana Observability on AWS   drill aws_reference_architectures aws architecture

Customers utilize IBM Instana on AWS to take advantage of agility and elasticity to get fast and precise observability of their entire technology stack to drive performance and reliability.PDFSoftware & Internet

  • 2023-03-03T02:20:04+0000

312.1. Answer

ibm-instana-observability-on-aws-ra.png

Figure 254: IBM Instana Observability on AWS

314. AWS Verified Access Request Verification Flow :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

With AWS IAM Identity Center (and Device Trust Provider)PDFNetworking & Content Delivery

  • 2023-02-22T23:50:14+0000

314.1. Answer

aws-verified-access-request-verification-flow-ra.png

Figure 256: AWS Verified Access Request Verification Flow

315. Provide Daas to Fleet Customers   drill aws_reference_architectures aws architecture analytics

Build a serverless architecture using Data as a Service (DaaS) to ingest, process, and deliver vehicle data to fleet owner applications based on a data API subscription model. PDF Analytics

  • 2023-02-17T15:15:29+0000

315.1. Answer

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Figure 257: Provide Daas to Fleet Customers

316. Fast Backup and Restore of TiDB on AWS   drill aws_reference_architectures aws architecture databases

TiDB is an open-source MySQL-compatible database that supports hybrid transactional and analytical processing (HTAP). TiDB clusters deployed on AWS can avail fast backup and restore using Amazon EBS Snapshot. Amazon EBS Snapshot enables the backup of several terabytes of data to be completed in one hour without any impact on cluster performance.PDFDatabases

  • 2023-02-17T20:47:24+0000

316.1. Answer

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Figure 258: Fast Backup and Restore of TiDB on AWS

317. Healthcare Interoperability Stack on AWS   drill aws_reference_architectures aws architecture

This reference architecture describes how to build a modular interoperability platform to ingest, parse, and store healthcare data of any shape, size, and format.PDFHealthcare

  • 2023-02-18T05:05:44+0000

317.1. Answer

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Figure 259: Healthcare Interoperability Stack on AWS

318. Unified Data Access Governance in a Data Mesh   drill aws_reference_architectures aws architecture analytics

This architecture outlines the use of PrivaceraCloud on AWS to provide federated computation governance for consistent data access control, governed data sharing, and compliance. PDF Analytics

  • 2023-02-15T22:00:15+0000

318.1. Answer

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Figure 260: Unified Data Access Governance in a Data Mesh

319. Invoking Asynchronous External APIs   drill aws_reference_architectures aws architecture serverless

Use this architecture to call third-party services that implement the service callback pattern to process long-running jobs.PDFServerless

  • 2023-02-07T00:43:50+0000

319.1. Answer

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Figure 261: Invoking Asynchronous External APIs

320. Camera as a Service   drill aws_reference_architectures aws architecture iot

This architecture shows how you can use Internet of Things (IoT)-enabled cameras to generate live video feed and machine learning inference that can be consumed by an end user in near real-time.PDFInternet of Things

  • 2023-02-07T00:42:46+0000

320.1. Answer

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Figure 262: Camera as a Service

321. Predictive Maintenance on AWS using Aspen Mtell   drill aws_reference_architectures aws architecture

This architecture uses AWS services with Aspen Mtell to provide early warnings of equipment failure from data sources such as customer assets, control automation systems, and historians at industrial sites.PDFManufacturing

  • 2023-02-01T05:39:35+0000

321.1. Answer

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Figure 263: Predictive Maintenance on AWS using Aspen Mtell

322. VMware Cloud on AWS – AWS Cloud WAN Reference Architecture :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

This architecture details how to connect VMware Cloud on AWS SDDCs across different AWS Regions to the AWS Cloud WAN global network using VMware Transit Connect, AWS Transit Gateway, and Site-to-Site VPN connections.PDFNetworking & Content Delivery

  • 2023-01-24T01:20:32+0000

322.1. Answer

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Figure 264: VMware Cloud on AWS – AWS Cloud WAN Reference Architecture

323. Flight Information Management System (FIMS)   drill aws_reference_architectures aws architecture containers

Manage and operate services required for unmanned aerial systems on AWS.HTML | PDF | PPTContainers | Aerospace

  • 2022-02-03T06:22:47+0000

324. Temenos WealthSuite Front Office on AWS   drill aws_reference_architectures aws architecture containers

Integrated portfolio management and securities trading platform for wealth managers and private bankers.PDFContainers | Financial Services | General Enterprise

  • 2020-09-02T21:44:53+0000

324.1. Answer

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Figure 265: Temenos WealthSuite Front Office on AWS

325. Unreal Engine’s Pixel Streaming on AWS   drill aws_reference_architectures aws architecture

This architecture shows a simple implementation of Unreal Engine’s Pixel Streaming feature on AWS. The architecture uses a serverless matchmaker composed of Amazon SQS, AWS Lambda, and Amazon DynamoDB. Both the streaming instance and signaling servers are hosted in the same Amazon Elastic Compute Cloud (Amazon EC2) instance.PDFGame Tech

  • 2023-01-06T23:23:29+0000

325.1. Answer

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Figure 266: Unreal Engine’s Pixel Streaming on AWS

326. Connected Airports Using IoT and AI/ML :drill:aws_reference_architectures:aws:architecture:analytics:iot:ai-ml:

Build a smart, connected airport that uses IoT and artificial intelligence/machine learning (AI/ML) to generate near real-time data for aircraft movement, gate turns, baggage tracking, queue depth, and passenger traffic, and to implement compliance measures like social distancing and security.PDFAnalytics | Internet of Things | Machine Learning & AI | Hospitality | Travel

  • 2020-08-28T18:42:19+0000

326.1. Answer

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Figure 267: Connected Airports Using IoT and AI/ML

327. Connected Restaurants using IoT and AI/ML :drill:aws_reference_architectures:aws:architecture:analytics:iot:ai-ml:

Build smart, connected restaurants that use Internet of Things (IoT) and artificial intelligence/machine learning (AI/ML) capabilities to maintain food quality and safety in the kitchen, preserve products in cold storage, maintain social distancing, manage queue depths, measure and monitor foot and vehicle traffic, and maintain cleanliness and sanitation. Use AWS IoT Greengrass to maintain cost efficiency and improve operability.PDFAnalytics | Internet of Things | Machine Learning & AI | Hospitality | Travel

  • 2020-08-28T18:42:09+0000

327.1. Answer

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Figure 268: Connected Restaurants using IoT and AI/ML

328. Telecom Charging (OCS/CHF) on AWS Outposts   drill aws_reference_architectures aws architecture

Deploy a fully automated, resilient, low latency, and highly available Telecom Online Charging System (OCS) / Charging Function (CHF) on AWS Outposts to run in the country of (or close to) the operator core network in cases of country data residency regulations or low latency requirements.PDFTelecommunications

  • 2022-12-20T19:41:35+0000

328.1. Answer

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Figure 269: Telecom Charging (OCS/CHF) on AWS Outposts

329. Log Analytics with Open Source Patterns   drill aws_reference_architectures aws architecture analytics

This diagram shows an architecture using FluentBit and Data Prepper to collect, aggregate, and transform logs into OpenSearch.PDFAnalytics

  • 2022-12-14T19:20:52+0000

329.1. Answer

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Figure 270: Log Analytics with Open Source Patterns

330. Connected Mobility Platform   drill aws_reference_architectures aws architecture iot

This architecture addresses three elements of the connected platform: in-vehicle, external infrastructure, and backend services on the cloud. The adoption of serverless architecture will help to reduce the operational overhead for the connected mobility platform.HTML | PDF | PPTInternet of Things | Automotive

  • 2020-11-17T20:33:56+0000

331. DT4o Faktory Vision: A Reference Architecture for Quality Insights   drill aws_reference_architectures aws architecture iot

DT40 provides computer vision-based quality detection, and defect analytics for actionable intelligence to minimize product defects in manufacturing. This solution provides quality insights into defect detection, defect classification, statistics, methods to identify severity of defects, and defect location.PDFInternet of Things | Manufacturing

  • 2022-12-13T00:56:32+0000

331.1. Answer

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Figure 271: DT4o Faktory Vision: A Reference Architecture for Quality Insights

332. Flutura Cerebra Asset Performance Management on AWS   drill aws_reference_architectures aws architecture analytics databases

Flutura’s Cerebra Asset Performance Management (APM) on AWS allows customers to ingest data from a variety of industrial equipment and data sources, and use the data to build physics-based machine learning (ML) models. These models are used in predictive maintenance, asset performance analysis, and process optimization.PDFAnalytics | Databases | Manufacturing

  • 2022-12-02T22:57:29+0000

332.1. Answer

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Figure 272: Flutura Cerebra Asset Performance Management on AWS

333. iMDSoft MetaVision Suite on AWS: Clinical Information System   drill aws_reference_architectures aws architecture

This architecture helps you deploy MetaVision Suite on AWS. MetaVision Suite by iMDSoft is a clinical information system designed to support the delivery of care in adult, neonatal, and pediatric intensive care units (ICU) with MetaVision ICU, as well as anesthesia and operation theatres with MetaVision OR.HTML | PDF | PPTHealthcare | Life Sciences

  • 2022-12-02T22:56:30+0000

334. Modern Data Platform using AWS and Teradata   drill aws_reference_architectures aws architecture analytics

VantageCloud Enterprise is part of the Teradata VantageCloud offering, the complete cloud analytics and data platform that includes Teradata’s significantly expanded ClearScape Analytics and integration with Amazon SageMaker.PDFAnalytics

  • 2022-11-19T00:59:18+0000

334.1. Answer

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Figure 273: Modern Data Platform using AWS and Teradata

335. Wafer Inspection with Machine Learning   drill aws_reference_architectures aws architecture

This architecture shows you how computer vision wafer inspection accelerates defect detection and reduces human error in detecting (ring/scratch and so on), improving fab productivity. HTML | PDF | PPT Electronics | Manufacturing | Semiconductors

  • 2022-09-22T01:12:22+0000

336. Search-backed applications   drill aws_reference_architectures aws architecture analytics

This reference architecture outlines the process to add or improve the search for an existing application.PDFAnalytics

  • 2022-11-17T17:36:16+0000

336.1. Answer

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Figure 274: Search-backed applications

337. Observability with Logs, Traces, and Metrics   drill aws_reference_architectures aws architecture analytics

Using Amazon OpenSearch Service, DevOps engineers gain insights to diagnose performance issues faster and reduce application downtime. To help visualize results and share data stories, the service includes Amazon OpenSearch Dashboards and Kibana.PDFAnalytics

  • 2022-11-17T02:07:37+0000

337.1. Answer

observability-with-logs-traces-metrics-ra.png

Figure 275: Observability with Logs, Traces, and Metrics

338. Totogi Charging-as-a-Service for On-Premises 4G/5G   drill aws_reference_architectures aws architecture

Connect your on-premises 4G/5G network to Totogi Charging-as-a-Service, the AWS-native multi-tenant 4G/5G charging engine, and a plan-design tool that enables telecom operators to instantly connect and monetize their core network. Totogi is available in AWS Marketplace. PDF Telecommunications

  • 2022-11-16T19:57:32+0000

338.1. Answer

totogi-charging-as-a-service-for-on-premises-4g-5g-ra.png

Figure 276: Totogi Charging-as-a-Service for On-Premises 4G/5G

339. Centralized Log Analytics   drill aws_reference_architectures aws architecture analytics

This high-level architecture outlines the different stages of log flow and which tools could be used when.PDFAnalytics

  • 2022-11-11T01:56:19+0000

339.1. Answer

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Figure 277: Centralized Log Analytics

340. Computer Vision Based Product Quality for Manufacturing :drill:aws_reference_architectures:aws:architecture:iot:ai-ml:

Use this architecture for camera-based, end-of-line quality inspection; defect-detection using image classification and semantic segmentation at edge with x86 central processing unit (CPU) or NVIDIA graphics processing unit (GPU); alert notifications; near real-time actuation; and root cause analysis using process data and inferred vision results. PDF Internet of Things | Machine Learning & AI | Consumer Packaged Goods (CPG) | Manufacturing

  • 2021-08-04T20:41:45+0000

340.1. Answer

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Figure 278: Computer Vision Based Product Quality for Manufacturing

341. Response Planning on AWS using Aera   drill aws_reference_architectures aws architecture

Use this reference architecture to explore options for ingesting data and using AWS services into an Aera Response Planning solution. PDF Transport & Logistics

  • 2022-11-04T21:09:10+0000

341.1. Answer

response-planning-on-aws-using-aera-ra.png

Figure 279: Response Planning on AWS using Aera

342. Data Lake Architecture for Renewable Energy   drill aws_reference_architectures aws architecture

This architecture enables you to build a renewable energy data lake that includes telemetry data from IoT devices, and business application data for near real-time monitoring. It also enables you to visualize data and make predictions with machine learning (ML) models. HTML | PDF | PPT Power & Utilities | Energy

  • 2022-10-31T07:29:44+0000

343. Amazon EKS on AWS Outposts Rack   drill aws_reference_architectures aws architecture compute

This reference architecture details how to deploy Amazon EKS on an AWS Outposts rack. PDF Compute

  • 2022-11-03T22:54:36+0000

343.1. Answer

amazon-eks-on-aws-outposts-rack-ra.png

Figure 280: Amazon EKS on AWS Outposts Rack

344. Tulip Vision for Quality Inspection   drill aws_reference_architectures aws architecture

The Tulip Vision for Quality Inspection platform provides a user-friendly, no-code environment to create functional applications. Tulip Vision provides the capability to to guide, measure, and improve product and operations quality using services such as Amazon Rekognition, Amazon Textract, and Amazon Lookout for Vision. PDF Manufacturing

  • 2022-10-25T17:27:37+0000

344.1. Answer

tulip-vision-for-quality-inspection-ra.png

Figure 281: Tulip Vision for Quality Inspection

345. Traffic Encryption Options in AWS Direct Connect :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

This reference architecture series shows how to encrypt your traffic over AWS Direct Connect connections, from the use of AWS Site-to-Site VPN (Public VIF) to a VPC or AWS Transit Gateway, to the option of MACsec.PDFNetworking & Content Delivery

  • 2022-04-22T21:46:18+0000

345.1. Answer

traffic-encryption-options-direct-connect-ra.png

Figure 282: Traffic Encryption Options in AWS Direct Connect

346. AWS Direct Connect Traffic Flow with AWS Local Zone :drill:aws_reference_architectures:aws:architecture:networking-content-dev:

This reference architecture shows traffic flows from an on-premises data center to an AWS Local Zone using Direct Connect for latency applications.PDFNetworking & Content Delivery

  • 2022-10-13T23:24:10+0000

346.1. Answer

direct-connect-traffic-flow-local-zone-ra.png

Figure 283: AWS Direct Connect Traffic Flow with AWS Local Zone

347. 42Q Cloud MES on AWS   drill aws_reference_architectures aws architecture

This reference architecture shows an example of end-to end data flow using AWS services and 42Q SaaS manufacturing execution system (MES). PDF Manufacturing

  • 2022-10-20T18:22:01+0000

347.1. Answer

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Figure 284: 42Q Cloud MES on AWS

348. Tulip Next-Gen MES on AWS :drill:aws_reference_architectures:aws:architecture:ai-ml:

This reference architecture helps you review options to build end-to-end data flows between Tulip’s Frontline Operations Platform and your Amazon Web Services (AWS) virtual private cloud (VPC) to enable data transparency and generate actionable insights for operational excellence.PDFMachine Learning & AI | Manufacturing

  • 2022-10-11T22:43:41+0000

348.1. Answer

tulip-next-gen-mes-ra.png

Figure 285: Tulip Next-Gen MES on AWS

349. Product Recommendations Powered by Neo4j   drill aws_reference_architectures aws architecture

This architectcure shows how you can create personalized and intelligent recommendations of relevant products for shoppers in near real-time; mapping users to products, services, information, or other people based on their user profile, preferences, and past online activity.PDFRetail

  • 2022-10-12T01:27:59+0000

349.1. Answer

product-recommendations-powered-by-neo4j-ra.png

Figure 286: Product Recommendations Powered by Neo4j

350. Hosting Adobe Experience Manager on AWS :drill:aws_reference_architectures:aws:architecture:app-integration:

This reference architecture is for deploying Adobe Experience Manager (AEM) content management system on AWS.PDFApplication Integration | General Enterprise

  • 2020-05-19T00:11:02+0000

350.1. Answer

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Figure 287: Hosting Adobe Experience Manager on AWS

351. High Performance Computing Simulation Workload for Renewable Energy Data   drill aws_reference_architectures aws architecture compute

The reference architecture shows customers how to architect on-premise assets like weather stations, wind turbines, and solar panels, and includes best practices for getting data into the cloud, and for high performance computing (HPC), artificial intelligence/machine learning (AI/ML) workloads and dashboarding data for viewing current and historical data assets.PDFCompute

  • 2022-09-28T16:50:44+0000

351.1. Answer

high-performance-computing-simulation-workload-for-renewable-energy-data-ra.png

Figure 288: High Performance Computing Simulation Workload for Renewable Energy Data