logging-metrics

Standardize structured logging by enforcing JSON logs with standard fields and contextual data across microservices, batch jobs, and serverless functions. This ensures consistent log schemas for compatibility with common dashboards, APMs, and alerting tooling.

Define metrics and dashboards by applying the Four Golden Signals to monitor latency, throughput, and errors. This enables consistent observability and alerting across APIs, workers, and events to streamline incident investigation.

Make logs actionable by configuring serverless functions to emit structured JSON logs to stdout with standard and event-specific fields. This uniform logging approach streamlines incident investigation and ensures compatibility with APMs.

Yes, structured JSON logging works with existing APM and alerting tooling. It enforces standard fields and JSON formatting to ensure compatibility with common dashboards and monitoring infrastructure across services.

You need structured JSON logging for batch jobs and workers because logs are not actionable without structure. Enforcing JSON formatting with standard fields ensures uniform observability and streamlines incident investigation across all service types.