AWS Database Blog

Kanhaiya Lal

Author: Kanhaiya Lal

Deep dive into Amazon Aurora PostgreSQL lock analysis with CloudWatch Database Insights

In this post, we show you how to use Amazon CloudWatch Database Insights for lock analysis in Amazon Aurora PostgreSQL. You learn how to enable the feature, interpret lock tree visualizations, resolve common lock-related issues, and maintain optimal database performance. This lock tree analysis feature also applies to Amazon RDS for PostgreSQL.

Scaling Amazon RDS for MySQL performance for Careem’s digital platform on AWS

Careem powers rides, deliveries, and payments across the Middle East, North Africa and South Asia. As Careem grew, so did its data infrastructure challenges. Their monolithic 270 TB Amazon RDS for MySQL database consisting of one writer and five read replicas— experienced performance issues due to increased storage utilization, slow queries, high replica lag, and increased Amazon RDS cost. In this post, we provide a step-by-step breakdown of how Careem successfully implemented a phased data purging strategy, improving DB performance while addressing key technical challenges.