Job
A Kubernetes Job is a workload resource that runs Pods for a finite task and tracks execution until the required successful completions are reached.
Kubernetes in Action, Second Edition
A Job is a Kubernetes resource that creates pods to run a finite task until a specified number of successful completions is reached.
- How it is used
- Runs finite application tasks while ensuring the required number of pods finish successfully.
- How deep it goes
- Works through manifests, completion counts, parallelism, failure handling, indexed work, queues, pod communication, and sidecars.
- Examples
- Uses MongoDB initialization, response generation and aggregation, a queue of months to process, and a sidecar that blocks completion.
- What you can do after
- Operate/configure it to run finite tasks, choose concurrency and failure behavior, inspect completion, and divide work among pods.
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Kubernetes for Developers
A Kubernetes Job is a workload resource that runs a finite task to completion rather than maintaining a continuously running service.
- How it is used
- Runs finite background work, including one-off maintenance and batch processing, instead of maintaining continuously running workers.
- How deep it goes
- Explains controller behavior and works through Job manifests, completion checks, worker exit conditions, and parallelism; only introduces indexed Jobs.
- Examples
- Shows a Python maintenance command, kubectl completion output, and Redis-backed workers configured to exit when their queue empties.
- What you can do after
- Operate/configure it: define a one-off or parallel batch Job and check whether its Pods completed.
Machine Learning Platform Engineering
A Kubernetes job is a workload resource that runs a task to completion and terminates after the task succeeds.
- How it is used
- Runs finite in-cluster work for Feast feature registration or Yatai’s Bento image build.
- How deep it goes
- Contrasts a job’s terminating command with a deployment and shows two integration points, but does not provide a job manifest.
- Examples
- Uses an in-cluster `feast apply` task and Yatai’s Bento image-builder job.
- What you can do after
- Evaluate/understand when a terminating Kubernetes job fits cluster-side setup and how Yatai uses one before launching serving pods.
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API Design Patterns
A job is an API resource that stores configuration for work and exposes a separate operation for executing that work.
- How it is used
- Separates task configuration from repeated execution, enabling permission boundaries and future scheduling.
- How deep it goes
- Defines resource creation and run behavior, including request constraints, long-running operations, and varied output handling.
- Examples
- Uses rerunnable backup jobs with run requests, operation metadata, destinations, and execution sequences.
- What you can do after
- Build and operate a rerunnable resource whose persisted configuration is executed through a parameterless custom method.
Related concepts
- resourcekind of · An API resource is a conceptual entity or target exposed through an interface and addressable for access or manipulation.
- cronjobproduced by · A Kubernetes CronJob is a workload resource that creates Jobs according to a specified recurring schedule.
- backoff limitconfigured by · A backoff limit is a Kubernetes Job setting that specifies the maximum number of retries before the Job is considered failed.
- restart policyconfigured by · A restart policy is a configuration rule specifying whether and when a container or workload is automatically restarted after termination or failure.
- Kubernetes controllercontrasts with · A Kubernetes controller is a control-loop component that observes resource state and takes action to move actual state toward desired state.
- work queue patternuses · The work queue pattern stores pending units of work for workers or processors to retrieve and process, often asynchronously.
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