My favorites from AWS re:Invent 2020

Mitesh N
2 min readDec 12, 2020

AWS re:Invent 2020 is in progess (NOV. 30 — DEC. 18 plus JAN. 12–14) and there are over 100 new announcements made so far. AWS re:Invent 2020 is a free virtual conference for the cloud computing community by AWS. What are some of your favorites? Following are my favorites:

Amazon Aurora Serverless v2
Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application’s needs. Amazon Aurora Serverless v2 provides the ability to scale database workloads to hundreds of thousands of transactions in a fraction of a second.

Babelfish for Amazon Aurora PostgreSQL (in Preview)
With Babelfish, applications currently running on SQL Server can now run directly on Aurora PostgreSQL with little to no code changes. Babelfish understands the SQL Server wire-protocol and T-SQL, the Microsoft SQL Server query language, so you don’t have to switch database drivers or re-write all of your application queries.

Amazon QuickSight Q (in Preview)
With Amazon QuickSight Q, business users can now get answers to their questions instantly. To ask a question, users simply type in the questions on the Amazon QuickSight Q search bar. As they type, Q provides auto-complete suggestions, spell check, etc. QuickSight Q uses deep learning and machine learning (natural language processing and schema understanding) to understand users’ intent and the meaning of the underlying data to generate an answer for the users.

Amazon HealthLake
Amazon HealthLake is a HIPAA-eligible service that enables healthcare providers, health insurance companies, and pharmaceutical companies to store, transform, query, and analyze health data at petabyte scale.

Amazon S3 Replication
Amazon S3 Replication now gives you the ability to replicate data from one source bucket to multiple destination buckets in the same, or different AWS Regions. S3 Replication (multi-destination) is intended for customers that want to create and maintain multiple copies of their data in one or more AWS Regions. Additionally, when replicating to multiple destinations, you can use Amazon CloudWatch metrics to track replication progress for each region pair.

AWS Lambda now supports container images as a packaging format
You can now package and deploy AWS Lambda functions as a container image of up to 10 GB. This makes it easy to build Lambda based applications using familiar container tooling, workflows, and dependencies.

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