How do I instrument Cortex with OpenTelemetry?

To instrument Cortex with OpenTelemetry, you need to set up tracing and metrics collection using the OpenTelemetry Collector and configure it to send data to Cortex. This involves deploying the OpenTelemetry Collector, configuring the necessary pipelines, and ensuring that your application code is instrumented to generate the required telemetry data.

Here’s a simple example of how you can integrate OpenTelemetry with a basic application:

// Composer dependencies for OpenTelemetry require 'vendor/autoload.php'; use OpenTelemetry\SDK\Trace\TracerProvider; use OpenTelemetry\API\Trace\Tracer; // Create a Tracer $tracerProvider = new TracerProvider(); $tracer = $tracerProvider->getTracer('example-tracer'); // Start a span $span = $tracer->startSpan('my-span'); // Your application logic here // ... // End the span $span->end(); // Shutdown the tracer provider $tracerProvider->shutdown();

DevOps OpenTelemetry Cortex Instrumentation Monitoring Tracing

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?