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!
- 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
- 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).
ML training powered by new processors from Intel.
ML Training Chip custom designed by AWS to deliver the most cost-effective training in the cloud. Available on EC2 or Sage Maker
Run ECS in your own Data Center
Run EKS in your own Data Center. Along with Open Sourced EKS distribution.
Build Lambda-based applications using existing container development workflows. Package as OCI Docker image and deploy as Lambda functions - Blog post
Fully managed deployment service for microservices lifecycle - Blog post
Provisione IOPs and throughput with new gen SSDs - Blog post
The highest IOPS and throughput in the cloud - Blog post
Scale to hundreds of thousands of transaction in a fraction of a second.
Run SQL Server apps on Aurora PostgreSQL. Stop paying for SQL server licenses. Along with open-sourced Babelfish for PostgreSQL.
Easily combine & replicate data from different data stores (RDS, Aurora, DynamoDB) to target data sources (S3, Redshift, Aurora, RDS, DynamoDB, etc.,)
Aggregate and prepare ML features using existing pre-loaded data preparation options.
New repository to organize, find and share features
Purpose built CICD service for ML
Uses ML to identify operational issues (application issues & fixes) long before they hit customers - Blog post
Ask Q any questions in Natural Language and get answers in seconds about business data - Blog post
ML to delivery agents the product & service information they need to solve issues realtime. - Blog post
Enables agents to deliver faster, more personalized customer service
Identify realtime impact using ML to detect customer interactions during live calls
Connect Tasks for follow-up task for agents & automate some tasks entirely
ML powered Voice ID for real-tome caller authentication
End-to-End equipment monitoring system to enable predictive maintenance - Blog post
Anomaly detection for industrial machinery - Blog post
A new hardware that allows organizations to add computer vision to existing on-premise cameras - Blog post
In two new Sizes
3 new Local Zones Boston, Houston & Miami
A New Public Container Registry - Blog post
Andy's Keynote Live Blog by Jeff Barr - Blog post