Observability: Monitor, measure and analyze your application
Get insights into the performance and health of your applications.
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. Read more
Observability and why it matters
Understand the basics of observability for developers: why you should care, how mature is the technology, how is it evolving. Read more
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.
Distributed Tracing
Jaeger
Based on the Jaeger project, Jaeger provides transaction tracing to avoid bottlenecks.
OpenTelemetry
Based on the OpenTelemetry project, OpenTelemetry is a collection of APIs, SDKs and Tools to generate and export telemetry data.
Red Hat capabilities for Observability
Red Hat OpenShift
Red Hat OpenShift is the cloud-native application platform that manages your development lifecycle.
Red Hat OpenShift Distributed Tracing
Red Hat OpenShift distributed tracing platform monitors, profiles networks, and troubleshoots the interaction between components in applications.
Red Hat Insights
Red Hat Insights continually analyzes applications to predict risks and recommend actions.
Red Hat Advanced Cluster Management for Kubernetes
Red Hat Advanced Cluster Management for Kubernetes proactively monitors cluster health and performance.
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.
Red Hat OpenShift Network Observability Operator
The Network Observability Operator observes network traffic for OpenShift clusters.
Trends in Observability
Artificial Intelligence & Machine Learning (AI/ML)
Use observability tools in the DevOps toolchain and observability data to drive improvements in application performance.
DevOps
Use observability to provide anomaly detection, root cause analysis, and predictive insights.
Observability Resources
Quarkus & Observability Cheat Sheet
Discover the integrations needed in the form of extensions for Quarkus to implement observability.
Developing with Quarkus, MicroProfile, and OpenTelemetry | DevNation Tech Talk
Leverage observability in your Quarkus applications
Using OpenTelemetry on Kubernetes | DevNation Tech Talk
Learn about three pillars of observability - metrics, logs, tracing - and the gotchas and pitfalls of rolling out the OpenTelemetry stack on Kubernetes.
Observability Articles
Observability for Node.js applications in OpenShift
The ability to observe and collect information about your application in...
How to enable OpenTelemetry traces in React applications
Learn how to enable OpenTelemetry traces in React applications and make them...
How to use OpenTelemetry to trace Node.js applications
Discover how to instrument your Node.js application to troubleshoot...
Network observability using TCP handshake round-trip time
Discover how implementing round-trip time in OpenShift can help you monitor...
