Google Cloud Run isn’t just about running containerized web services — it also supports Jobs, which let you run containers that execute tasks and exit after completion.
🔹 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 → One container task (e.g., database migration).
- Array Job → Multiple independent tasks in parallel (e.g., batch processing 1,000 images from Cloud Storage).
Array jobs speed things up by leveraging parallelism.
🔹 When to Use Cloud Run Jobs?
Here are some practical scenarios where Cloud Run Jobs shine:
✅ Script or Tool – Run database migrations or data cleanup scripts.
✅ Array Job – Perform parallelized tasks like image/video processing, log analysis, or bulk API calls.
✅ Scheduled Job – Use Cloud Scheduler to trigger jobs at specific times (e.g., run a script every day at 10 PM).
🔹 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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