liveBook · Manning

Cloud Run job

As explained in Learn Docker in a Month of Lunches, Second Edition

A Cloud Run job is a managed container workload that executes in the background and is expected to complete.

Use a Cloud Run job for a background container that should execute and eventually finish, rather than serve network requests like a website or API. section 14.4

A practical deployment flow is:

  • Use jobs for background work such as queue message handlers or scheduled recurring processes. section 14.4

Jobs use minimal default resources when unspecified, including one CPU and 512 MB memory. Billing follows allocated compute while the container runs. A normal stop ends the execution; a startup error triggers up to three retries. section 14.4

How Learn Docker in a Month of Lunches, Second Edition covers it

How deep it goes
Explains the service-versus-job distinction, deployment flow, defaults, billing, completion, and retry behavior.
Examples
Demonstrates deploying a Hello World image, executing it, and inspecting logs with gcloud.
What it assumes
Assumes a container image and Google Cloud project, then establishes Artifact Registry and Cloud Run setup.
What you can do after
Operate a Cloud Run job through gcloud by deploying its image, executing it, and reading its logs.
How it connects
Connects containers with Artifact Registry, Cloud Run services, message queues, scheduled processes, and retries.
Cover of Learn Docker in a Month of Lunches, Second Edition
liveBookmanning.com
Read Learn Docker in a Month of Lunches, Second Edition on liveBook Get the book at manning.com

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Learn Docker in a Month of Lunches, Second Edition. The section links point to the parts of the book it draws on.