Prow Job Analyze Resource

Debug Kubernetes resource failures by analyzing Prow CI job artifacts to trace resource lifecycles. This skill downloads audit and pod logs from Google Cloud Storage, parses timestamps and events, and generates an interactive HTML timeline showing what happened to your resource from creation to termination, helping you identify when and why it failed.

Yes. This skill creates interactive HTML timelines that visualize Kubernetes resource lifecycles during Prow CI runs. It parses audit logs and pod logs, extracts resource-specific events with timestamps and severity levels, and presents them in a searchable, filterable report with expandable details for each event.

This skill automates extraction by downloading structured audit logs (JSONL format) and unstructured pod logs from Google Cloud Storage using regex-based resource patterns. It parses both formats to extract timestamps, severity levels, and resource events, then consolidates them into a single interactive HTML report for analysis.

This skill supports structured audit logs in JSONL format and unstructured glog-formatted pod logs. It automatically detects glog severity levels (info, warn, error) and parses timestamps from both formats, then correlates events across formats to build a complete resource lifecycle timeline.

Yes. This skill supports flexible regex patterns to match single or multiple resources by name, kind, and namespace. The generated HTML report includes search and filtering capabilities, allowing you to narrow results and focus on specific resource types or namespaces within your Prow job.

Provide the Prow job URL and the resource identifier (e.g., pod/etcd-0, namespace/default). This skill accesses the job artifacts stored in Google Cloud Storage, downloads relevant audit and pod logs, applies your resource pattern, and generates an interactive timeline report without additional setup required.