Parallelism field
The parallelism field is a Kubernetes Job specification field that specifies how many Pod instances may run concurrently.
Kubernetes in Action, Second Edition
The parallelism field is a Job specification field that limits the number of pods allowed to run concurrently for the Job.
- How it is used
- Controls concurrent Pod execution for repeated Job tasks and work-queue processing.
- How deep it goes
- Explains defaults, interaction with completions, replacement behavior, and queue usage without detailing controller internals.
- Examples
- Demonstrates five completions with parallelism 2 and six queued work items processed with parallelism 3.
- What you can do after
- Configure Jobs with a concurrency limit and verify running or completed Pods with kubectl.
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Kubernetes for Developers
Parallelism is a Kubernetes Job setting that specifies how many Pod instances may run concurrently.
- How it is used
- Controls concurrent worker Pods while a Kubernetes Job drains a task queue.
- How deep it goes
- Defines concurrency and demonstrates running and completed Pods, but stops short of internal scheduling behavior.
- Examples
- Uses a Redis task queue and a Job manifest configured with parallelism: 2.
- What you can do after
- Apply it via a Kubernetes Job manifest to run multiple queue workers concurrently and verify their status with kubectl.
Read how Kubernetes for Developers explains parallelism field →
Related concepts
- jobconfigures · A Kubernetes Job is a workload resource that runs Pods for a finite task and tracks execution until the required successful completions are reached.
- replica countequivalent to · A replica count is a configuration value specifying the desired number of concurrently running instances of a workload.
- parallelismconfigures · Parallelism is the concurrent execution of multiple computational operations, often across multiple processing resources.
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