AWS Database Blog
Category: Amazon RDS
Addressing CLR assembly deprecation in Amazon RDS for SQL Server
Microsoft SQL Server 2016 reaches its end of extended support on July 14, 2026. If you run it on Amazon RDS for SQL Server with user-defined CLR assemblies, you must replace them before you upgrade, because CLR is not supported on SQL Server 2017 and later. This post shows you how to find your CLR dependencies and compares four replacement strategies.
Natural language queries on Oracle Database 26ai: Getting started with Select AI on Amazon RDS for Oracle with Amazon Bedrock
Oracle Database 26ai is now available on Amazon RDS for Oracle, bringing generative AI, vector search, and machine learning into the engine. In this post, part 1 of a three-part series, learn how to set up Select AI to run natural language queries against your relational data using foundation models on Amazon Bedrock, all from within a private Amazon RDS instance.
Enforcing TLS and managing certificate rotation for RDS and Amazon Aurora PostgreSQL
When an Amazon RDS or Amazon Aurora PostgreSQL certificate expires and client trust stores aren’t updated, connections fail without warning. This post shows how to enforce TLS for all PostgreSQL connections, configure client-side certificate verification, and deploy automated monitoring that alerts you before certificate rotation events.
Migrate RDS and Aurora logs to CloudWatch Infrequent Access
Organizations running Amazon RDS and Amazon Aurora often pay full CloudWatch Logs ingestion rates for database logs they rarely access. This post shows how to build an automated, tag-driven solution that migrates RDS and Aurora CloudWatch log groups from the Standard to the Infrequent Access log class and cuts log ingestion costs by about 50%.
Oracle Machine Learning for SQL on Amazon RDS: Build machine learning models entirely in SQL
Learn how to build, train, and score a credit risk machine learning model entirely in SQL using Oracle Machine Learning for SQL (OML4SQL) on Amazon RDS for Oracle. The built-in AutoML feature selects the best algorithm automatically, with no data movement and no external machine learning platforms.
Using CloudWatch Database Insights to troubleshoot query performance from calling services
Learn how to use the calling services feature in Amazon CloudWatch Database Insights to identify which applications are calling your databases and view their performance metrics, so you can pinpoint root causes and contact the right team in minutes rather than hours.
Troubleshooting SQL Server query performance on Amazon RDS
Learn a complete database administrator workflow for monitoring, diagnosing, and resolving T-SQL query performance issues on Amazon RDS for SQL Server. This post shows how to use Amazon CloudWatch Database Insights, Query Store, and Resource Governor together to detect regressions, diagnose execution plan changes, and isolate analytical workloads.
Automated PII redaction for Amazon RDS for PostgreSQL audit logs
In this post, we show you how to deploy a serverless pipeline that creates an irreversibly redacted, queryable archive of Amazon RDS for PostgreSQL audit logs. The pipeline permanently removes Social Security numbers (SSNs), credit cards, email, names, and more than 30 types of personally identifiable information (PII) before storing clean logs in Amazon S3 for query through Amazon Athena.
Migrate self-managed PostgreSQL to Amazon RDS using the RDS console
Migrate a self-managed PostgreSQL database on Amazon EC2 to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition using the auto-migration capability in the Amazon RDS console, powered by AWS Database Migration Service (AWS DMS) homogeneous data migrations.
Invoke AWS services directly from Amazon RDS for SQL Server 2025
In this post, you learn how to use the sp_invoke_external_rest_endpoint stored procedure on Amazon RDS for SQL Server 2025 to call AWS services and external HTTPS endpoints directly from T-SQL.









