This lab is currently in Beta, content may be updated as we refine the material
LABINTERMEDIATE

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.

45 minutes
cloud/gcp
Cloud Run Service Release and Traffic Management - Platform Engineering Hands-On Lab Icon

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

gcpcloud-runserverlessassociate-cloud-engineer

Part of a Course

This lab is part of the Google Cloud Associate Cloud Engineer course

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