How do I correlate logs, metrics, and traces for Request IDs?

Correlating logs, metrics, and traces using Request IDs is essential for effective troubleshooting and performance monitoring in DevOps. By utilizing a single unique identifier for each request, teams can trace the lifecycle of a request across different systems and easily pinpoint issues.

How to Correlate Logs, Metrics, and Traces

To effectively correlate logs, metrics, and traces, follow these steps:

  • Generate a unique Request ID for each incoming request.
  • Incorporate this Request ID in your log statements, metrics, and tracing data.
  • Use centralized logging systems (like ELK stack) to aggregate logs based on Request IDs.
  • Utilize APM tools (like Jaeger or Zipkin) to visualize traces and associate them with Request IDs.

Example Implementation in PHP

<?php class RequestHandler { public function handleRequest() { // Generate a unique Request ID $requestId = uniqid('req_', true); // Log the request with the Request ID error_log("[$requestId] Handling request..."); // Simulate processing $this->processRequest($requestId); } private function processRequest($requestId) { // Log processing steps error_log("[$requestId] Processing data..."); // ... processing logic here ... // Complete the request error_log("[$requestId] Finished processing."); } } $handler = new RequestHandler(); $handler->handleRequest(); ?>

Request IDs logs correlation metrics tracking tracing DevOps best practices centralized logging APM tools

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