Source: stackify.com
Six OpenTelemetry Metrics to Track for Better Visibility
Six OpenTelemetry Metrics to Track for Better Visibility In OpenTelemetry (OTEL), metrics play a huge role in providing visibility into the performance and health of an application.
The following are the key components of OpenTelemetry metrics: OpenTelemetry Metrics API: A set of interfaces responsible for capturing raw measurements and decoupling the instrumentation from the SDK OpenTelemetry Metrics SDK: A reference implementation of the metrics API that provides applications functionality and extensibility OpenTelemetry metrics exporter: Libraries that export metrics data to various back ends, such as Prometheus, Jaeger, and Stackdriver OpenTelemetry metrics format: Systems that collect, store, and display metrics To gain better visibility of your application, there are different types of OpenTelemetry metrics to track.
By tracking OpenTelemetry metrics such as request latency, network traffic, error rates, and resource utilization, you can identify bottlenecks and optimize your system for better performance.
The following are the key components of OpenTelemetry metrics: OpenTelemetry Metrics API: A set of interfaces responsible for capturing raw measurements and decoupling the instrumentation from the SDK OpenTelemetry Metrics SDK: A reference implementation of the metrics API that provides applications functionality and extensibility OpenTelemetry metrics exporter: Libraries that export metrics data to various back ends, such as Prometheus, Jaeger, and Stackdriver OpenTelemetry metrics format: Systems that collect, store, and display metrics To gain better visibility of your application, there are different types of OpenTelemetry metrics to track.
By tracking OpenTelemetry metrics such as request latency, network traffic, error rates, and resource utilization, you can identify bottlenecks and optimize your system for better performance.
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