A comprehensive guide to implementing effective logging practices in distributed systems. Covers the fundamentals of why logs serve as forensic tools, what events and data attributes to capture, how to structure logs using JSON format with correlation IDs, and best practices for consistent logging across services. Emphasizes
Table of contents
Why Log - The role of logs in observabilityWho to log for?What to Log – Capturing the correct informationHow to Log – Practices for useful, consistent logsThings to avoidImplementing with AI – Using AI to set up and maintain loggingAnalyzing with AI – Leveraging AI to gain insights from logsKey takeawaysResourcesSort: