Observability: Monitor, measure and analyze your application

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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.

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The pillars of observability

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

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

Article OpenShift

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

Article Quarkus + data grid

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 Insights

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

Learn about Insights

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?

Red Hat build of Quarkus

Red Hat build of Quarkus provides a Kubernetes-native Java stack for microservices and serverless development.

Learn about the Red Hat build of Quarkus

What's next in observability?

Artificial Intelligence

Use observability tools in the DevOps toolchain and observability data to drive improvements in application performance.

What is AI?

DevOps

Use observability to provide anomaly detection, root cause analysis, and predictive insights.

What is DevOps?

Edge

Use observability to monitor and manage devices at the edge.

What is edge computing?

Observability resources

Latest observability articles

Article DevOps
Sep 05, 2025
Steven Lee

Explore the latest features in network observability 1.9, an operator for...

Article 4 reasons you’ll love using Red Hat OpenShift Data Science

Learn how to migrate to Vector in this quick demo.

Article Featured image

Learn how the Red Hat build of OpenTelemetry provides a powerful and flexible...

Article Feature image for Red Hat OpenShift

Learn how to migrate the default log store in OpenShift 4 from Elasticsearch...

Article Feature image for Red Hat OpenShift

The incident detection feature in Red Hat Advanced Cluster Management for...

Article Feature image for Red Hat OpenShift

Learn how to leverage OpenStack Services on OpenShift architecture to deploy...