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    Infrastructure

    Implement Logging and Observability Stack

    Community April 24, 2026
    0 copies 0 likes

    Full observability setup with structured logging, distributed tracing, metrics, and alerting.

    Prompt
    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.

    How to Use

    Use with @workspace context. Copilot adapts to your existing logging patterns.

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