AWS re:Invent 2020 - Andy Jassy Keynote Highlights
Ajay Kumar S
Posted on December 1, 2020
Last year, I mentioned about not attending the re:Invent 2019 Live from Las Vegas. This year, I still sit at the same view at home with everyone going through the same experience across the globe. I don't think it's a time to be proud about, however I feel we are lucky enough to sustain our work life remotely with less hassle even during this pandemic.
The mind boggling number of registered attendees (500,000+) shows the sheer amount of interest and popularity ofAc Amazon Web Services! Period!
AWS's Innovation Strategies
What does it take to reInvent?
- Leadership will to invent and reinvent
- Acknowledgement that you can't fight gravity
- Talent that's hungry to invent
- Solving real customer problems with builders
- Speed
- Don't complexify
- Use the platform with the broadest & deepest set of tools
- Pull everything together with aggressive top-down goals
The following are the list of key service updates announced by Andy Jassy in his keynote speech today (December 1).
Instances
Habana Gaudi-based Amazon EC2 instances
ML training powered by new processors from Intel.
AWS Trainium
ML Training Chip custom designed by AWS to deliver the most cost-effective training in the cloud. Available on EC2 or Sage Maker
Containers & Serverless
Amazon ECS Anywhere
Run ECS in your own Data Center
Amazon EKS Anywhere
Run EKS in your own Data Center. Along with Open Sourced EKS distribution.
AWS Lambda
Lambda Container Support
Build Lambda-based applications using existing container development workflows. Package as OCI Docker image and deploy as Lambda functions - Blog post
AWS Proton
Fully managed deployment service for microservices lifecycle - Blog post
Storage
gp3 volumes for EBS
Provisione IOPs and throughput with new gen SSDs - Blog post
io2 Block Express
The highest IOPS and throughput in the cloud - Blog post
Database
Amazon Aurora Serverless v2 (reinvented)
Scale to hundreds of thousands of transaction in a fraction of a second.
Babelfish for Amazon Aurora PostgreSQL
Run SQL Server apps on Aurora PostgreSQL. Stop paying for SQL server licenses. Along with open-sourced Babelfish for PostgreSQL.
Data
AWS Glue Elastic Views
Easily combine & replicate data from different data stores (RDS, Aurora, DynamoDB) to target data sources (S3, Redshift, Aurora, RDS, DynamoDB, etc.,)
Machine Learning & Analytics
Amazon SageMaker Data Wrangler
Aggregate and prepare ML features using existing pre-loaded data preparation options.
Amazon SageMaker Feature Store
New repository to organize, find and share features
Amazon SageMaker Pipelines
Purpose built CICD service for ML
Amazon DevOps Guru
Uses ML to identify operational issues (application issues & fixes) long before they hit customers - Blog post
Amazon QuickSight Q
Ask Q any questions in Natural Language and get answers in seconds about business data - Blog post
Customer Intelligence
Amazon Connect Wisdom
ML to delivery agents the product & service information they need to solve issues realtime. - Blog post
Amazon Connect Customer Profiles
Enables agents to deliver faster, more personalized customer service
Real-Time Contact Lens for Amazon Connect
Identify realtime impact using ML to detect customer interactions during live calls
Amazon Connect Tasks
Connect Tasks for follow-up task for agents & automate some tasks entirely
Amazon Connect Voice ID
ML powered Voice ID for real-tome caller authentication
IoT
Amazon Monitron
End-to-End equipment monitoring system to enable predictive maintenance - Blog post
Amazon Lookout for Equipment
Anomaly detection for industrial machinery - Blog post
AWS Panorama Appliance & SDK
A new hardware that allows organizations to add computer vision to existing on-premise cameras - Blog post
Hybrid Infrastructure
AWS Outposts for any location
In two new Sizes
AWS Local Zones
3 new Local Zones Boston, Houston & Miami
Other Bonus Announcements (not via the keynote)
Amazon Elastic Container Registry Public
A New Public Container Registry - Blog post
Andy's Keynote Live Blog by Jeff Barr - Blog post
Posted on December 1, 2020
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