Structured Logging
Structured logging outputs machine-parseable logs in formats like JSON, containing timestamp, level, message, and context fields.
Purpose
Make logs searchable and aggregable, supporting efficient troubleshooting and analysis.
Mechanism
Each log line is a JSON object with timestamp, level, message, requestId, and more. Aggregation systems (ELK/Loki) index and query by field. Correlation IDs track requests across services. Avoid concatenated string logs.
Use cases
- Log analysis
- Troubleshooting
- Auditing