Google Cloud Run isnβt just about running containerized web services β it also supports Jobs, which let you run containers that execute tasks and exit after completion.
πΉ What is a Cloud Run Job?
A Cloud Run Job executes your containerized code to perform a specific task and then terminates. This is different from Cloud Run services that stay alive to handle HTTP requests.
- Single Job β One container task (e.g., database migration).
- Array Job β Multiple independent tasks in parallel (e.g., batch processing 1,000 images from Cloud Storage).
Array jobs speed things up by leveraging parallelism.
πΉ When to Use Cloud Run Jobs?
Here are some practical scenarios where Cloud Run Jobs shine:
β Script or Tool β Run database migrations or data cleanup scripts.
β Array Job β Perform parallelized tasks like image/video processing, log analysis, or bulk API calls.
β Scheduled Job β Use Cloud Scheduler to trigger jobs at specific times (e.g., run a script every day at 10 PM).
πΉ Why Cloud Run Jobs?
- Fully managed, no infrastructure to maintain
- Pay only for what you use
- Automatic retries and logging
- Works great with Cloud Storage, BigQuery, and other GCP services
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