How do I correlate logs, metrics, and traces for Configuration management?

Correlating logs, metrics, and traces is essential for effective configuration management in DevOps. By integrating these data types, teams can gain valuable insights into the health and performance of their applications and infrastructure. Below is an example of how to set up such a correlation system using popular tools.

<?php // Example of correlating logs, metrics, and traces use Elasticsearch\ClientBuilder; // Create Elasticsearch client $client = ClientBuilder::create()->build(); // Function to log information function logEvent($eventData) { global $client; $client->index([ 'index' => 'logs', 'body' => $eventData ]); } // Function to send metrics function sendMetrics($metricData) { global $client; $client->index([ 'index' => 'metrics', 'body' => $metricData ]); } // Function to trace requests function traceRequest($traceData) { global $client; $client->index([ 'index' => 'traces', 'body' => $traceData ]); } // Example data logEvent(['timestamp' => time(), 'message' => 'User login', 'user_id' => 123]); sendMetrics(['timestamp' => time(), 'cpu_usage' => 75, 'memory_usage' => 60]); traceRequest(['timestamp' => time(), 'request_id' => 'abc123', 'duration' => 150]); ?>

DevOps logs metrics traces configuration management data correlation Elasticsearch monitoring performance

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?