Cloud Run Service Release and Traffic Management
Deploy a container to Cloud Run, create revisions, split traffic, configure concurrency and scaling, and roll back safely.
Lab Overview
Master Cloud Run deployment and traffic management. Deploy a containerized service, create new revisions with code changes, manage traffic splitting between revisions, configure concurrency and min/max instance scaling, and perform safe rollbacks.
This lab covers every Cloud Run deployment workflow tested on the Associate Cloud Engineer exam:
- Building and pushing container images to Artifact Registry
- Deploying services with gcloud and managing revisions
- Splitting traffic across multiple revisions with tag-based and percentage-based routing
- Tuning concurrency and min/max instance autoscaling
- Rolling back to a known-good revision
Key Resources:
What You'll Learn
Deploy a containerized service to Cloud Run
Create and manage Cloud Run revisions
Configure traffic splitting between revisions
Adjust concurrency and min/max instance scaling
Perform safe rollbacks to previous revisions
Prerequisites
Basic command line familiarity
Docker fundamentals
Technologies Covered
Part of a Course
This lab is part of the Google Cloud Associate Cloud Engineer course
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