In this post, you learn the different levels you can have with AWS Observability, from unstructured logs up to a Claude Code skill which finds logs for you automatically.

AWS Fundamentals offers foundational knowledge and resources for understanding Amazon Web Services (AWS) cloud computing services. From basic concepts like virtual servers and storage to advanced topics like serverless architecture and machine learning on AWS, readers can learn how to leverage the full potential of cloud computing for their applications and businesses.

AWS Fundamentals

A practitioner's journey through three levels of AWS observability: starting from unstructured log chaos (Level 1), progressing to structured logs, metrics, and traces using Lambda Powertools (Level 2), and finally reaching AI-assisted debugging with a Claude Code agent that queries CloudWatch Logs Insights automatically (Level 3). Includes a full example of a custom Claude Code sub-agent configuration with CloudWatch Logs Insights query templates, and a bonus tip on using Claude Code's loop mechanism to proactively detect and correlate errors with git commits.

The 3 Levels of AWS Observability

Level 2 - The Three Pillars of Observability