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A Job sets completions to 10 and parallelism to 50, but never more than a handful of Pods run at once near the end. Why?

  1. The scheduler caps parallelism at the node count
  2. parallelism is silently reduced to match completions at creation
  3. Pods are throttled by the Job controller's backoff
  4. As the Job nears its target the controller starts only as many Pods as remain needed
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Answer: D. As the Job nears its target the controller starts only as many Pods as remain needed

Actual parallelism may be lower than requested: a fixed-completion Job starts fewer Pods as it approaches its target, so a parallelism far above completions is effectively ignored.

Source: Jobs (Kubernetes) — Writing a Job spec › Controlling parallelism

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