Category: Amazon RDS

In this post, we share the version currency timelines for Aurora and RDS open source engines. We also explain why timelines differ across engines and how you can use them to plan your upgrades.

Customers running IBM Db2 workloads often ask for a repeatable, auditable way to provision Amazon RDS for Db2 that fits their existing infrastructure-as-code practice. In this post, we introduce a modular Terraform template, published in the aws-samples/sample-rds-db2-tools repository. The template takes you from an empty AWS account to a running RDS for Db2 instance tracked in AWS License Manager in under an hour.

Today, we’re announcing the Remote Query Cache Plugin for the AWS Advanced JDBC Wrapper. The plugin handles query caching automatically. It intercepts JDBC queries, caches results in Amazon ElastiCache for Valkey, and serves subsequent identical queries from cache. Your only application change is prefixing queries with SQL hints. In this post, we show you how to use Amazon CloudWatch Database Insights to identify queries to cache, configure the Remote Query Cache Plugin in your Java applications, and monitor cache effectiveness using Amazon CloudWatch.

This post is part of a two-part series on upgrading RDS for MySQL 8.0 to 8.4. Here, we cover the end of standard support timeline, extended support costs, upgrade methods, and key best practices. For a step-by-step implementation guide, see Best practices for upgrading RDS for MySQL 8.0 to 8.4 with prechecks, Blue/Green, and rollback.

In this post, you learn how to build a complete upgrade workflow for RDS for MySQL 8.0 to 8.4, covering pre-upgrade compatibility checks, Amazon RDS Blue/Green Deployments for minimal downtime, and a rollback strategy for added protection.

In this post, we demonstrate how to connect to Amazon RDS for Db2 from your laptop using AWS SSM, covering infrastructure deployment with Terraform, port forwarding configuration, SSL connections, and verification steps.

In this post, we show how you can use AWS DevOps Agent to investigate, identify root causes of, and remediate common AWS DMS issues when migrating from Amazon RDS to Amazon Redshift. DevOps Agent is a Frontier agent that autonomously triages incidents 24/7, providing root cause analysis and recommended actions for resolution based on correlated metrics, logs, and application topology.

In this post, we walk through building an agent that investigates blocking and deadlocks on Amazon RDS for SQL Server — two issues that directly impact application performance, cause transaction failures, and lead to user-facing timeouts. Using the Strands Agents framework, we convert the T-SQL queries DBAs already use for these investigations into agent tools, combine them into a single agent, and deploy it to AgentCore Runtime.

In this post, we walk you through deploying an automated Amazon CloudWatch monitoring dashboard for Amazon RDS for Db2. This solution works for both internet-connected (online) and private subnet (air-gapped) environments, requiring no manual console steps.

In this post, we show you how Kajabi navigated complex Aurora PostgreSQL database upgrades and achieved an 80.53% cost reduction through strategic planning and technical execution. You’ll discover their hybrid approach combining Amazon Aurora blue/green deployments with PostgreSQL native replication. You’ll also learn about their implementation of Aurora I/O-Optimized storage and the key lessons from their journey. Whether you’re managing large-scale databases or planning your own upgrade path, Kajabi’s experience offers valuable insights. You’ll see how to balance performance requirements with cost optimization while maintaining continuous availability.