Starting today, you can now bring your own JDBC drivers to your Glue Spark ETL jobs. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easier to prepare and load your data for analytics. AWS Glue has native connectors to connect to supported data sources either on AWS or elsewhere using JDBC drivers. This feature enables you to connect to data sources with custom drivers that were not natively supported in AWS Glue such as MySQL 8 and Oracle 18. You can also use multiple JDBC driver versions in the same Glue job enabling you to migrate data between source and target databases with different versions. To learn more, please visit our documentation .

Today, AWS X-Ray is launching support for Amazon CloudWatch Synthetics (preview), enabling developers and DevOps engineers to trace end-to-end requests for canaries that monitor web application endpoints, and URLs.

Until today, when using AutoML in Forecast customers could only determine the winning algorithm. Although useful, this did not give customers transparency into all the model runs.  

Amazon RDS Performance Insights supports SQL-level metrics on Amazon RDS for Oracle so you can identify high-frequency, long-running, and stuck SQL queries in seconds.

Developers using the Amplify CLI can now view backend environment information in the Amplify Console on project initialization. The Amplify Console offers a single location for the entire team to view and manage the AWS cloud resources required for their fullstack apps.  

The Amazon Redshift cluster elastic resize operation can now be automated using a scheduler that allows you to automatically resize clusters to accommodate changes in workloads that occur on a regular basis. For example, you can now automatically expand a cluster to accommodate heavier workloads as well as shrink a cluster to accommodate lighter workloads at specific times of day. This will allow you to automate cluster resizing to balance price and performance when using Redshift.

An Amazon Aurora Global Database is a single database that spans multiple AWS regions, enabling low latency global reads and disaster recovery from region-wide outages. With today’s launch, you can convert an existing single-region Aurora database to a global one, simply by adding another region to it.

Amazon Cognito now supports recovery method prioritization, making it easier for developers to customize the flow users experience when they forget their passwords. Developers can specify whether they prefer that users receive a recovery code via SMS or email, and whether they would like to fall back to SMS or email if a verified phone number or email address is not available. This feature is available now in Amazon Cognito User Pools at no additional cost. 

Amazon Aurora zero-downtime patching (ZDP), which attempts to preserve client connections through an engine patch, is now supported on Aurora MySQL engine release 2.07 and above. When ZDP executes successfully, application sessions are preserved and the database engine restarts while patching. Read the Aurora documentation to learn more. 

An Amazon Aurora Global Database is a single database that spans multiple AWS regions, enabling low latency global reads and disaster recovery from region-wide outages. With today’s launch, you can add as many as five secondary regions to your global cluster, expanding the reach of your database worldwide.