description Google Cloud Run Jobs Overview
Google Cloud Run Jobs is a managed service for running containerized jobs on Google Cloud. Unlike Cloud Run (which handles web requests), Cloud Run Jobs is designed for tasks that run to completion, such as data processing, batch scripts, or machine learning training. It provides an easy way to scale containers up and down automatically based on the number of jobs submitted, removing the need to manage underlying server infrastructure.
help Google Cloud Run Jobs FAQ
How are Cloud Run Jobs different from Cloud Run services?
A Cloud Run service listens for web requests and stays available to serve them, while a Cloud Run Job starts containers that run to completion and exit. Jobs suit batch processing, migrations, scheduled scripts, and other finite workloads.
How many tasks can a Google Cloud Run Job run?
A Cloud Run Job can contain up to 10,000 tasks, and tasks can run in parallel. Each task receives CLOUD_RUN_TASK_INDEX and CLOUD_RUN_TASK_COUNT so the application can divide work across the task set.
How does automatic retry work in Cloud Run Jobs?
The default maximum is 3 retries per failed task, and the setting can be changed from 0 to 10. A retry repeats the failed task, so the job should be designed to tolerate duplicate or partially completed work.
How long can a Cloud Run Job task run?
The default task timeout is 10 minutes, but it can be increased to a maximum of 168 hours, or 7 days. Jobs do not have a separate fixed execution timeout after all tasks have completed.
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