Full observability setup with structured logging, distributed tracing, metrics, and alerting.
Set up a comprehensive logging and observability system for this application: **Structured Logging:** - Logger factory with configurable transports (console, file, external service) - Structured JSON format with consistent fields: timestamp, level, message, requestId, userId, duration - Log levels: error, warn, info, debug, trace with environment-based filtering - Request/response logging middleware with body redaction for sensitive fields - Error logging with full stack traces and context **Distributed Tracing:** - Request correlation IDs propagated across services - Span creation for key operations (DB queries, API calls, queue processing) - Trace context injection in outgoing HTTP requests - Performance timing for critical code paths **Metrics:** - Custom counters: request_count, error_count by endpoint - Histograms: response_time, db_query_duration - Gauges: active_connections, queue_depth - Health check endpoint aggregating all service dependencies **Alerting:** - Error rate threshold alerts - Latency degradation detection - Health check failure notifications Use existing libraries in the project or suggest minimal additions.
Use with @workspace context. Copilot adapts to your existing logging patterns.
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