Observability: Monitor, measure and analyze your application

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A kubernetes wheel with a cloud overlaid on top

What is Observability?

Observability is the ability to monitor, measure, and interpret a system or application's status by analyzing its outputs, logs, and performance metrics. This data helps to improve system reliability, makes troubleshooting more efficient, enables data-driven decisions, and optimizes overall system performance.

Metrics

Quantitative data on system resource consumption to determine if a problem has occurred.

Events

Detailed event logs and system messages that provide a record of behavior to determine what problem has occurred.

Traces

Data on the path of requests and transactions from applications and the environment and helps to determine where in a system the problem has occurred.

Logs

Changes to the Object state to monitor the health of the environment.

What is distributed tracing?

Article

Featured image: Quarkus development loop

Jun 21, 2022

Distributed tracing with OpenTelemetry, Knative, and Quarkus

Daniel Oh

This video shows how to use OpenTelemetry to collect metrics for RESTful,...

Article

Aug 01, 2023

How to deploy the new Grafana Tempo operator on OpenShift

Pavol Loffay

This article describes the new Tempo Kubernetes operator for Grafana Tempo on...

Article

Aug 08, 2022

OpenTelemetry: A Quarkus Superheroes demo of observability

Eric Deandrea

This Quarkus Superheroes demo illustrates how to capture telemetry data...

Red Hat capabilities for observability

Red Hat OpenShift

Red Hat OpenShift is the cloud-native application platform that manages your development lifecycle.

Learn about OpenShift

Red Hat OpenShift distributed tracing

Red Hat OpenShift distributed tracing platform monitors, profiles networks, and troubleshoots the interaction between components in applications.

Documentation for distributed tracing

Red Hat Lightspeed

Red Hat Lightspeed continually analyzes applications to predict risks and recommend actions.

Learn about Red Hat Lightspeed

Red Hat Advanced Cluster Management for Kubernetes

Red Hat Advanced Cluster Management for Kubernetes proactively monitors cluster health and performance.

Read an ACM datasheet

Red Hat build of OpenTelemetry

Red Hat build of OpenTelemetry instruments, generates, collects, and exports telemetry traces, metrics, and logs to analyze and understand software performance and behavior.

Documentation for OpenTelemetry

Red Hat OpenShift Network Observability Operator

The Network Observability Operator observes network traffic for OpenShift clusters.

Documentation for the Network Observability Operator

Red Hat OpenShift Service Mesh

Red Hat OpenShift Service Mesh includes Kiali to visualize the microservices in your service mesh with out of the box metrics and tracing capabilities.

What is OpenShift Service Mesh?