Inspect Volcano workloads faster with Headlamp
AI Summary
The Volcano plugin for Headlamp brings Volcano's batch scheduling resources, such as Jobs, Queues, and PodGroups, directly into the Headlamp Kubernetes web UI. It provides dedicated list and detail views, lifecycle actions like Suspend and Resume, direct log access, and a visual map view to help teams troubleshoot AI/ML, HPC, and batch workloads more efficiently without relying solely on CLI tools.
Key Takeaways
- The Volcano plugin surfaces custom resources such as Jobs, Queues, and PodGroups in a dedicated sidebar section within Headlamp.
- Features include direct log access for single or multiple pods, and lifecycle management actions like Suspend and Resume.
- A built-in map view visually connects Jobs, PodGroups, Queues, and Pods to quickly identify blockers and pending workload states.
Why it matters
Batch, AI/ML, and HPC workloads in Kubernetes rely on complex scheduling concepts like gang scheduling, queues, and priorities that span multiple independent resources. Providing a unified visual context reduces the friction of manual CLI correlation, enabling faster troubleshooting and better resource utilization for platform and infrastructure engineers.
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