Fix #713: Implement Centralized Structured Logging & Telemetry Pipeline

[SatyamPandey-07]

Key Features Implemented:

Structured JSON Logger: Built
utils/structuredLogger.js
which uses Node.js AsyncLocalStorage. This allows the system to automatically attach a Trace ID to every log entry across asynchronous boundaries (callbacks, promises, timeouts) without manual prop-drilling.
Request Correlation Engine: Created
middleware/requestCorrelation.js
which generates a unique Trace ID for every incoming request, propagates it through the system, and returns it to the client as an x-trace-id header for targeted troubleshooting.
Automatic HTTP Telemetry: Developed
middleware/httpLogger.js
to log all network traffic. It automatically calculates Response Latency and classifies log levels based on HTTP status codes (4xx/5xx).
Telemetry Batch Exporter: Implemented
utils/telemetryExporter.js
with a buffered batching logic to simulate log shipping to external sinks (like Datadog or ELK) while minimizing system I/O overhead.
Visibility API: Created
routes/telemetry.js
, allowing administrators to view real-time log statistics, monitor file sizes, and "tail" the last 50 entries of any log level directly via the API.
Self-Healing Maintenance: Built
jobs/logRotator.js
, a nightly background worker that handles log rotation, archival, and periodic cleanup of old records to prevent disk exhaustion.
Service-Level Integration: Refactored
services/validationEngine.js
to use the new structured logger, demonstrating how to provide deep visibility into complex operational pipelines.
Technical Specification: Documented the logging schema and trace propagation theory in
LOGGING_ARCHITECTURE.md
closes #713

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🎉 Thanks for the PR, @SatyamPandey-07!

We really appreciate you taking the time to contribute to ExpenseFlow! 💙

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Project	Deployment	Actions	Updated (UTC)
expenseflow	Ready	Preview, Comment	Feb 20, 2026 8:52am