Technical Theory
The ultimate Cloud Run guide from zero to production demo walkthrough | Google Codelabs
Executive Summary
This codelab guides you through deploying a sample application to Cloud Run, covering essential aspects such as containerization, continuous integration/continuous deployment (CI/CD), and traffic management. It is designed to provide a comprehensive understanding of how to leverage Cloud Run for deploying scalable and reliable applications.
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Interactive Lab
This codelab guides you through deploying a sample application to Cloud Run, covering essential aspects such as containerization, continuous integration/continuous deployment (CI/CD), and traffic management. It is designed to provide a comprehensive understanding of how to leverage Cloud Run for deploying scalable and reliable applications.
Launch Codelab —>Technical Breakdown
| Category | Technology | Experience | Resources |
|---|---|---|---|
| Containerization | Docker | 3 / 5 |
Documentation |
| CI/CD | Cloud Build | 3 / 5 |
Documentation |
| Deployment | Cloud Run | 4 / 5 |
Documentation |
| Google Cloud CLI | gcloud CLI | 3 / 5 |
Documentation |
| Infrastructure as Code | YAML | 2 / 5 |
Documentation |
Learning Objectives
- Containerize a sample application using Docker.
- Create a Cloud Build configuration file to automate the build and deployment process.
- Deploy the application to Cloud Run using the gcloud CLI.
- Implement traffic splitting between different revisions of the application.
- Set up a service account with the necessary permissions to allow Cloud Build to deploy to Cloud Run.
Key Learning Points
- Understand how to containerize an application using Docker.
- Learn how to set up a CI/CD pipeline with Cloud Build for automated deployments to Cloud Run.
- Discover how to manage traffic splitting between different revisions of your application on Cloud Run.
- Gain insights into creating and managing service accounts for secure access to Google Cloud resources.
Core Skills Gained
- Containerization
- CI/CD
- gcloud CLI
- YAML