Home icon

Optimize and troubleshoot database performance in Amazon Aurora PostgreSQL by analyzing execution plans using CloudWatch Database Insights

Database Blog



This article discusses how to optimize and troubleshoot database performance in Amazon Aurora PostgreSQL using CloudWatch Database Insights, focusing on analyzing SQL execution plans.

  • CloudWatch Database Insights helps identify and resolve database performance issues by providing detailed execution plan analysis
  • The tool allows side-by-side comparison of SQL execution plans to detect performance changes
  • Key use cases include:
    • Detecting dropped indexes
    • Identifying suboptimal query execution strategies
    • Analyzing sorting and join performance
  • The article demonstrates how to use the tool to:
    • Compare execution plans across different time periods
    • Diagnose performance bottlenecks
    • Optimize query performance by adjusting database parameters

CloudWatch Database Insights provides a powerful solution for database administrators to quickly identify and resolve performance issues in Aurora PostgreSQL.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Jan 22
2025
CloudWatch provides execution plan capture for Aurora PostgreSQL
Feb 15
2024
Monitor Amazon Aurora Global Database replication at scale using Amazon CloudWatch Metrics Insights
Feb 10
2025
Amazon CloudWatch now provides lock contention diagnostics for Aurora PostgreSQL
May 23
2025
CloudWatch Database Insights adds support for Aurora Limitless PostgreSQL

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.