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Cloud
Behavioral
Batch Job
Execute short-lived, finite tasks using Kubernetes Jobs
Intent & Description
The Batch Job pattern uses Kubernetes Jobs to execute finite, short-lived tasks to completion. Jobs are ideal for batch processing, data processing, or periodic tasks. They ensure that a specified number of pods successfully complete their tasks and provide mechanisms for parallel execution and completion tracking.
Real-world Use Case
Use when you need to run batch processing tasks or when you need to ensure tasks complete successfully.
Source
Advantages
- Built-in completion tracking
- Supports parallel execution
- Automatic retry on failure
- Integrates with Kubernetes scheduling
Disadvantages
- Not designed for long-running services
- Limited to finite tasks
- Resource cleanup required after completion