Introduction
Cloud Source Repositories (CSR) is a fully-featured, scalable, and secure Git repository hosted on Google Cloud Platform. It allows you to manage your code, collaborate with your team, and integrate with other GCP services seamlessly.
Key Concepts
-
Git Basics:
- Repository: A storage location for your code.
- Commit: A snapshot of your code at a specific point in time.
- Branch: A parallel version of your repository.
- Merge: Combining changes from different branches.
-
Cloud Source Repositories Features:
- Integration with GCP: Directly integrate with other GCP services like Cloud Build and Stackdriver.
- Security: Managed by Google, ensuring high security and compliance.
- Scalability: Handles repositories of any size with ease.
- Collaboration: Supports team collaboration with features like pull requests and code reviews.
Setting Up Cloud Source Repositories
Step 1: Enable the Cloud Source Repositories API
- Go to the GCP Console.
- Navigate to the API & Services section.
- Search for Cloud Source Repositories API and enable it.
Step 2: Create a Repository
- In the GCP Console, go to Source Repositories.
- Click on Create Repository.
- Enter a name for your repository and select the project.
- Click Create.
Step 3: Clone the Repository
- Open your terminal.
- Use the following command to clone the repository:
Replacegcloud source repos clone [REPOSITORY_NAME] --project=[PROJECT_ID]
[REPOSITORY_NAME]
with the name of your repository and[PROJECT_ID]
with your GCP project ID.
Step 4: Add and Commit Code
- Navigate to the cloned repository directory:
cd [REPOSITORY_NAME]
- Add your code files to the repository:
git add .
- Commit your changes:
git commit -m "Initial commit"
- Push your changes to the repository:
git push origin master
Practical Example
Let's create a simple Python script and push it to Cloud Source Repositories.
Step 1: Create a Python Script
- Create a new file named
hello.py
:# hello.py print("Hello, Google Cloud Source Repositories!")
Step 2: Add and Commit the Script
- Add the file to the repository:
git add hello.py
- Commit the file:
git commit -m "Add hello.py script"
- Push the changes:
git push origin master
Practical Exercise
Exercise: Create and Push a New Repository
- Objective: Create a new repository in Cloud Source Repositories, add a simple HTML file, and push it to the repository.
- Steps:
- Enable the Cloud Source Repositories API.
- Create a new repository named
my-website
. - Clone the repository to your local machine.
- Create an
index.html
file with the following content:<!DOCTYPE html> <html> <head> <title>My Website</title> </head> <body> <h1>Welcome to My Website</h1> </body> </html>
- Add, commit, and push the file to the repository.
Solution
- Enable the Cloud Source Repositories API.
- Create a new repository named
my-website
. - Clone the repository:
gcloud source repos clone my-website --project=[PROJECT_ID]
- Navigate to the repository directory:
cd my-website
- Create the
index.html
file:<!DOCTYPE html> <html> <head> <title>My Website</title> </head> <body> <h1>Welcome to My Website</h1> </body> </html>
- Add the file to the repository:
git add index.html
- Commit the file:
git commit -m "Add index.html"
- Push the changes:
git push origin master
Common Mistakes and Tips
- Authentication Issues: Ensure you are authenticated with the correct GCP account using
gcloud auth login
. - Repository Not Found: Double-check the repository name and project ID when cloning.
- Push Errors: Ensure you have committed your changes before pushing.
Conclusion
In this section, you learned how to set up and use Cloud Source Repositories on GCP. You created a repository, added code, and pushed it to the cloud. This foundational knowledge will help you manage your code efficiently and integrate with other GCP services in your projects.
Google Cloud Platform (GCP) Course
Module 1: Introduction to Google Cloud Platform
- What is Google Cloud Platform?
- Setting Up Your GCP Account
- GCP Console Overview
- Understanding Projects and Billing
Module 2: Core GCP Services
Module 3: Networking and Security
Module 4: Data and Analytics
Module 5: Machine Learning and AI
Module 6: DevOps and Monitoring
- Cloud Build
- Cloud Source Repositories
- Cloud Functions
- Stackdriver Monitoring
- Cloud Deployment Manager
Module 7: Advanced GCP Topics
- Hybrid and Multi-Cloud with Anthos
- Serverless Computing with Cloud Run
- Advanced Networking
- Security Best Practices
- Cost Management and Optimization