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OpenShift Lab 10: View Pod, Workload, and Namespace Performance Metrics Using the OpenShift Web Console

OpenShift Lab 10: View Pod, Workload, and Namespace Performance Metrics Using the OpenShift Web Console

Updated lab flow

  1. Start OpenShift Local.
  2. Log in to the web console.
  3. Create project lab10-performance-demo.
  4. Deploy a lightweight web app or resource-pressure Job.
  5. View pods and workload details in Topology.
  6. Open Observe → Dashboards.
  7. Select dashboard:Kubernetes / Compute Resources / Namespace (Workloads)
  8. View CPU, memory, network receive/transmit, pod count, and workload metrics.
  9. Use Observe → Metrics to run simple PromQL queries.
  10. Validate from CLI using:
oc get pods
oc get jobs
oc logs job/rpjob
oc adm top pods
Code language: JavaScript (javascript)
  1. Explain why metrics may take 30–60 seconds to appear.
  2. Clean up the project.

One important update: Red Hat’s monitoring docs note that from OpenShift 4.19 onward, the web console perspectives changed and the Developer perspective is no longer enabled by default in the same way, so our lab should avoid depending too heavily on old Developer Sandbox screenshots. We can still mention Developer/Administrator views, but we should write the steps flexibly for the current console. (Red Hat Documentation)

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I'm Rajesh Kumar, a DevOps, SRE, DevSecOps, Cloud, and Platform Engineering expert passionate about sharing practical knowledge, real-world experiences, and industry best practices. I have worked at Cotocus and regularly write about technology, travel, investing, health, product reviews, and digital marketing through my various platforms. I publish technical articles at DevOps School, travel stories at Holiday Landmark, stock market insights at Stocks Mantra, health and fitness guidance at My Medic Plus, product reviews at TrueReviewNow, and SEO and digital marketing strategies at Wizbrand.

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Jason Mitchell
Jason Mitchell
4 months ago

Very helpful and practical guide! The steps to view performance information using the OpenShift web console are explained clearly, making it easier for beginners and admins to monitor cluster metrics and resource usage. A useful resource for anyone learning OpenShift management.

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