foundation-logging

You can implement structured logging by configuring standardized JSON formats for production and human-readable formats for development. This approach ensures consistent log levels, sinks, and traceability across APIs and background workers.

Adding correlation IDs involves configuring tracing hooks that propagate unique identifiers across distributed services. This ensures end-to-end traceability for API requests and background workers within your observability stack.

Yes, you can configure distinct log levels and formats for each environment. Production environments use structured JSON logs for parsing, while development environments use human-readable formats to simplify local debugging.

Yes, this observability approach applies to monitoring background workers and microservices. It provides standardized log formats, error tracking hooks, and configurable log levels suitable for distributed service architectures.

You need structured JSON logs instead of human-readable formats when operating production services that require machine parsing, alert-ready dashboards, and automated error tracking. Human-readable formats suit local development debugging.