k8s-batch-analyzer

k8s-batch-analyzer

Summarise Kubernetes Jobs and CronJobs: what succeeded, what failed, how long it took, and what resources each Job's pod template asks for. Reads a saved capture, raw kubectl output, or the current cluster.

$ k8s-batch-analyzer --from examples/capture.json
Batch jobs — examples/capture.json
Generated 2026-11-05 00:12 IST

6 jobs · 2 succeeded · 1 failed · 1 running · 1 pending · 1 suspended

JOB                            STATUS       OK FAIL ACTIVE   CPU   MEM DURATION
--------------------------------------------------------------------------------
data/import-catalog            Pending       0    0      0     1 2.0Gi -
default/nightly-backup         Succeeded     1    0      0  0.25 256Mi 4m30s
ml-jobs/eval-bert              Failed        0    4      0     2 8.0Gi 5m0s
ml-jobs/gpu-batch              Suspended     0    0      0     8 32.0Gi -
ml-jobs/preprocess             Running       0    0      1   0.5 1.0Gi 6h12m
ml-jobs/train-resnet           Succeeded     1    0      0     4 16.0Gi 1h12m

What it reads

Only standard batch/v1 resources:

• Job — status.succeeded, status.failed, status.active, the Complete/Failed conditions, spec.backoffLimit, spec.suspend, start and completion times.
• CronJob — spec.schedule, spec.suspend, status.lastScheduleTime, and the number of active child jobs.

Status is derived in this order: a Complete=True condition is Succeeded, a Failed=True condition is Failed, spec.suspend is Suspended, active pods are Running, then succeeded/failed counts, otherwise Pending.

Resource numbers come from the Job's pod template requests (falling back to limits), summed over all containers. They are what the Job intends to use, not what its pods actually consumed. Actual usage needs metrics-server, Prometheus, or another metrics source; this tool does not invent it.

Durations end at status.completionTime when present, otherwise at report time. That means a running Job shows its age so far.

Install

go install github.com/Ankitavasudev/k8s-batch-analyzer@latest

Requires Go 1.21 or newer.

Usage

# A saved capture with jobs and cronjobs arrays
k8s-batch-analyzer --from examples/capture.json

# Raw kubectl output
kubectl get jobs -A -o json > jobs.json
kubectl get cronjobs -A -o json > cronjobs.json
k8s-batch-analyzer --jobs jobs.json --cronjobs cronjobs.json

# The current kubectl context
k8s-batch-analyzer

# One namespace
k8s-batch-analyzer --namespace ml-jobs

# Other formats
k8s-batch-analyzer --from examples/capture.json -o json
k8s-batch-analyzer --from examples/capture.json -o csv
k8s-batch-analyzer --from examples/capture.json -o html > batch-report.html

Capture format

One JSON file with jobs and cronjobs arrays in the Kubernetes API shape. Extra fields are ignored, so kubectl get ... -o json output can be pasted in directly:

{
  "jobs": [
    {
      "metadata": { "name": "train-resnet", "namespace": "ml-jobs" },
      "spec": {
        "backoffLimit": 3,
        "template": {
          "spec": {
            "containers": [
              {
                "name": "trainer",
                "resources": { "requests": { "cpu": "4", "memory": "16Gi", "nvidia.com/gpu": "1" } }
              }
            ]
          }
        }
      },
      "status": {
        "succeeded": 1,
        "startTime": "2026-11-01T08:00:00Z",
        "completionTime": "2026-11-01T09:12:00Z",
        "conditions": [{ "type": "Complete", "status": "True" }]
      }
    }
  ],
  "cronjobs": []
}

Output

Jobs sort by namespace/name; namespaces sort by name. The same capture always produces the same ordering.

Demo

A generated report for the example capture is published at https://ankitavasudev.github.io/k8s-batch-analyzer/.

Limitations

• Standard batch/v1 only. It does not read Volcano, Kueue, or other CRDs.
• No pod-level history or logs; the Job status is the source of truth.
• CPU and memory are parsed from Kubernetes quantities; unusual custom units are treated as zero.
• Live mode shells out to kubectl and uses the selected context.

License

MIT