Announcements from Andy Jassy Keynote at re:Invent 2020
Tips for building a culture to reinvent
1. The leadership will to invent and reinvent
2. Acknowledgement that you can’t fight gravity
3. Talent that’s hungry to invent
4. Solving real customer problems with builders
5. Speed
6. Don’t “comlexify”
7. Use the platform with the broadest and deepest set of tools
8. Pull everything together with aggressive top-down goals
Amazon EC2 D3 and D3en — New storage optimized instances, ideal fit for workloads including distributed / clustered file systems, big data and analytics, and high capacity data lakes
https://aws.amazon.com/blogs/aws/ec2-update-d3-d3en-dense-storage-instances
Amazon EC2 Mac instances for macOS — Build & Test macOS, iOS, ipadOS, tvOS, and watchOS Apps
https://aws.amazon.com/about-aws/whats-new/2020/11/announcing-amazon-ec2-mac-instances-for-macos
EC2 C6gn Instances — 100 Gbps Networking with AWS Graviton2 Processors (Coming soon)
Amazon EC2 instances powered by Habana Gaudi — specifically designed for training deep learning models
https://aws.amazon.com/ec2/instance-types/habana-gaudi
AWS Trainium — custom machine learning (ML) chip designed by AWS that provides the best price performance for training ML models in the cloud
https://aws.amazon.com/machine-learning/trainium
Amazon ECS Anywhere — Ability to run ECS clusters on-premise
https://pages.awscloud.com/AmazonECSAnywherePreview.html
Amazon EKS Anywhere (coming in 2021) — Ability to run EKS clusters on-premise
https://aws.amazon.com/eks/eks-anywhere
AWS Lambda Container Image Support — package and deploy AWS Lambda functions as a container image of up to 10 GB
https://aws.amazon.com/blogs/aws/new-for-aws-lambda-container-image-support
AWS Proton — Automated management for container and serverless deployments
https://aws.amazon.com/about-aws/whats-new/2020/12/amazon-web-services-announces-aws-proton
Amazon EBS general purpose volumes gp3 — next-generation general purpose SSD volumes for Amazon Elastic Block Store (Amazon EBS) that enable customers to provision performance independent of storage capacity and provides up to 20% lower price-point per GB than existing gp2 volumes
io2 Block Express volumes — next generation of Amazon EBS storage server architecture purpose-built to deliver the highest levels of performance with sub-millisecond latency
Amazon Aurora Serverless v2 — provides the ability to scale database workloads to hundreds of thousands of transactions in a fraction of a second. Instead of doubling capacity every time a workload needs to scale, it adjusts capacity in fine-grained increments to provide just the right amount of database resources for an application’s needs
Babelfish for Amazon Aurora PostgreSQL — a SQL Server-compatible end-point for PostgreSQL to make PostgreSQL fluent in understanding communication from apps written for SQL Server
https://aws.amazon.com/blogs/opensource/want-more-postgresql-you-just-might-like-babelfish
AWS Glue Elastic Views — makes it easy to build materialized views that combine and replicate data across multiple data stores without you having to write custom code
https://aws.amazon.com/glue/features/elastic-views
https://aws.amazon.com/about-aws/whats-new/2020/12/announcing-aws-glue-elastic-view-preview
Amazon SageMaker Data Wrangler — prepare data for machine learning
https://aws.amazon.com/sagemaker/data-wrangler
Amazon SageMaker Feature Store — A fully managed repository for machine learning features
https://aws.amazon.com/sagemaker/feature-store
Amazon SageMaker Pipelines — CI/CD service for machine learning
https://aws.amazon.com/sagemaker/pipelines
Amazon DevOps Guru — ML-powered cloud operations service to improve application availability
https://aws.amazon.com/devops-guru
Amazon QuickSight Q — Answers Natural-Language Questions About Business Data
https://aws.amazon.com/about-aws/whats-new/2020/12/introducing-amazon-quicksight-q
https://aws.amazon.com/blogs/aws/amazon-quicksight-q-to-answer-ad-hoc-business-questions
https://aws.amazon.com/blogs/big-data/amazon-quicksight-2020-in-review
Amazon Connect Wisdom — provides contact center agents the information they need to quickly solve customer issues
https://aws.amazon.com/blogs/aws/amazon-connect-smarter-and-more-integrated
Amazon Connect Customer Profiles — a unified view of your customers to provide more personalized service
https://aws.amazon.com/blogs/contact-center/amazon-connect-customer-profiles
Real-Time Contact Lens for Amazon Connect — analytics to detect customer issues on live calls
https://aws.amazon.com/blogs/contact-center/contact-lens-real-time
Amazon Connect Tasks — makes it easy to prioritize, assign, track, and automate contact center agent tasks
https://aws.amazon.com/blogs/contact-center/amazon-connect-tasks
Amazon Connect Voice ID — Machine learning-based caller authentication
https://aws.amazon.com/blogs/contact-center/amazon-connect-voice-id
https://aws.amazon.com/blogs/aws/amazon-connect-smarter-and-more-integrated
Amazon Monitron — Detect abnormal machine behavior and enable predictive maintenance
https://aws.amazon.com/monitron
https://aws.amazon.com/about-aws/whats-new/2020/12/introducing-amazon-monitron
Amazon Lookout for Equipment — Detect abnormal equipment behavior by analyzing sensor data
https://aws.amazon.com/lookout-for-equipment
AWS Panorama Appliance –a machine learning appliance that allows you to deploy CV applications to the edge when low latency and data privacy are required, and internet bandwidth is limited
https://aws.amazon.com/panorama/appliance
https://aws.amazon.com/blogs/aws/using-computer-vision-applications-at-the-edge
AWS Panorama Device SDK — powers the recently announced AWS Panorama Appliance
https://aws.amazon.com/panorama/panorama-device-sdk
AWS Outposts 1U and 2U form factors — rack-mountable servers that will provide local compute and networking services to edge locations that have limited space or smaller capacity requirements
