New observability features in Red Hat OpenShift 4.21 and Red Hat Advanced Cluster Management for Kubernetes 2.16

New observability features in Red Hat OpenShift 4.21 and Red Hat Advanced Cluster Management for Kubernetes 2.16 Cluster observability operator 1.4 Customizable dashboards with Red Hat build of Perses (technology preview) AI trace summarizer (developer preview) OpenShift monitoring Performance and standards OpenTelemetry integration Operational reliability Conclusion OpenShift logging Enhanced flexibility for Loki persistent volumes OpenTelemetry (OTLP) log export for advanced correlation Support for alternative authentication gateways OpenTelemetry and tracing New observability features in Red Hat Advanced Cluster Management for Kubernetes Right-sizing recommendations (generally available) Start exploring Red Hat OpenShift Container Platform | Product Trial About the authors Roger Florén Jamie Parker Vanessa Martini Eric Evans Simon Herlofsson More like this Metrics that matter: How to prove the business value of DevEx Extend trust across the software supply chain with Red Hat trusted libraries Ready to Commit | Command Line Heroes The Fractious Front End | Compiler: Stack/Unstuck Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The latest updates to Red Hat OpenShift bring significant enhancements to monitoring and troubleshooting directly within OpenShift. Red Hat OpenShift observability has evolved into a highly integrated ecosystem that combines metrics, logs, traces, and network telemetry into a single experience. It removes the tool sprawl typically associated with Kubernetes, replacing fragmented dashboards with a centralized, hardened, and supported platform. The cluster observability operator (COO) acts as a "meta-operator". Its primary job is to deploy and manage independent monitoring stacks that do not interfere with the core OpenShift metrics. In addition to this, the operator ships observability UI plugins and related advanced analytics features, including signal correlation (powered by Korrel8r) and incident detection for OpenShift. With the latest release, we announce the availability of two brand new features. We are glad to announce a technology preview release of customizable dashboards options as part of the OpenShift web console with the cluster observability operator 1.4 (COO) release. The journey begins by selecting an OpenShift project, which then displays standard Prometheus metrics alongside new log additions backed by Loki and traces by Tempo. After this step, dashboards can be edited. While code-centric, Perses provides a fully functional web interface for layout and data exploration. Visualization variety : Supports standard panel types, including time series charts, gauge/multi-gauge, stat charts, and markdown panels.