AWS re:Invent 2020 Virtual Conference

Table of Contents

AWS re:Invent 2020

:ID: AWS-REINVENT-2020

Event Details

  • Date: December 1-18, 2020
  • Location: Virtual (100% online)
  • Attendance: 500,000+ registered attendees (up from 60,000 typical in-person)
  • Sessions: 500+ sessions, 800+ videos on YouTube

Keynotes

  1. Andy Jassy CEO Keynote - AWS CEO sharing insights on customers, products, and services
  2. Machine Learning Keynote - Swami Sivasubramanian (first-ever ML keynote at re:Invent)
  3. Infrastructure Keynote - Peter DeSantis, SVP Global Infrastructure
  4. AWS Partner Keynote - Doug Yeum, Sandy Carter, Dave McCann
  5. Werner Vogels Keynote - CTO perspective on building the future

Key Announcements

AWS Lambda

  • Container Image Support - Package and deploy Lambda functions as container images up to 10 GB
  • Billing Granularity - Reduced from 100ms to 1ms, automatic cost savings
  • Memory Expansion - Functions with up to 10 GB memory and 6 vCPUs

Amazon SageMaker

  • SageMaker Pipelines - First ML CI/CD service, reduces months of coding to hours
  • SageMaker Data Wrangler - Simplified data preparation from single interface
  • SageMaker Feature Store - Consistent features for training and inference
  • SageMaker Clarify - Detect bias in ML models, increase transparency
  • SageMaker JumpStart - One-click access to popular models and solutions
  • SageMaker Edge Manager - Manage ML models across edge devices

Containers & Kubernetes

  • Amazon EKS Distro - Kubernetes distribution for self-managed clusters
  • Amazon ECS Anywhere - Run ECS on-premises or other clouds
  • Amazon EKS Anywhere - Run EKS on-premises or other clouds
  • Amazon ECR Public - Public container registry
  • AWS Proton - Automated management for container and serverless deployments

Infrastructure

  • AWS Trainium - Custom ML training chip designed by AWS
  • Habana Gaudi EC2 Instances - ML training instances
  • Amazon Monitron - End-to-end equipment monitoring
  • AWS Panorama - Computer vision at the edge

Resources

Key Themes

  1. Machine Learning Democratization - Making ML accessible to all developers
  2. Hybrid Cloud - EKS/ECS Anywhere bringing AWS to any environment
  3. Container Innovation - Lambda container support bridging serverless and containers
  4. Custom Silicon - AWS-designed chips for specialized workloads
  5. Edge Computing - Bringing compute closer to data sources

Author: Jason Walsh

j@wal.sh

Last Updated: 2026-01-10 17:13:19

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