---
title: "Deep dive into Amazon Aurora PostgreSQL lock analysis with CloudWatch Database Insights"
url: https://daily.dev/posts/deep-dive-into-amazon-aurora-postgresql-lock-analysis-with-cloudwatch-database-insights-u4rsthnlj
source_url: https://aws.amazon.com/blogs/database/deep-dive-into-amazon-aurora-postgresql-lock-analysis-with-cloudwatch-database-insights
type: article
source: "AWS Database Blog"
published: 2026-06-17T16:10:58.546Z
updated: 2026-06-17T16:11:21.741Z
tags: ["aws", "postgresql"]
reading_time: 11
upvotes: 0
comments: 0
language: en
---

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

**[AWS Database Blog](https://daily.dev/sources/aws-database-blog)** · 11 min read · 0 upvotes · 0 comments

## Summary

Lock contention is a common performance bottleneck in Aurora PostgreSQL. Amazon CloudWatch Database Insights Advanced Mode offers a lock tree analysis feature that provides hierarchical visualizations of blocking and waiting sessions, capturing snapshots every 15 seconds and retaining data for 15 months. Two real-world scenarios are walked through: an e-commerce order processing deadlock during a Black Friday surge, and a telecom billing module stuck in idle-in-transaction state. Both cases demonstrate how to identify root blockers using the lock tree, interpret ClientRead and TransactionId wait events, and resolve issues with pg_terminate_backend(). Best practices cover application design (explicit transaction boundaries, short transactions), database configuration (idle_in_transaction_session_timeout, lock_timeout), and monitoring with pg_stat_activity and pg_locks.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/blogs/database/deep-dive-into-amazon-aurora-postgresql-lock-analysis-with-cloudwatch-database-insights>

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---

Tags: [#aws](https://daily.dev/tags/aws), [#postgresql](https://daily.dev/tags/postgresql)

[View this post on daily.dev](https://daily.dev/posts/deep-dive-into-amazon-aurora-postgresql-lock-analysis-with-cloudwatch-database-insights-u4rsthnlj)