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Bitbucket Pipelines Overview

1. Introduction

Bitbucket Pipelines is a continuous integration and delivery (CI/CD) service built into Bitbucket that enables you to automatically build, test, and deploy your code based on a configuration file in your repository.

2. Key Concepts

2.1 What is CI/CD?

CI/CD stands for Continuous Integration and Continuous Delivery. It is a method to frequently deliver apps to customers by introducing automation into the stages of app development.

2.2 Bitbucket Pipelines Configuration

The configuration file, bitbucket-pipelines.yml, is where you define your build, test, and deployment processes. It is written in YAML syntax.

image: node:14

                pipelines:
                  default:
                    - step:
                        name: Build and Test
                        caches:
                          - node
                        script:
                          - npm install
                          - npm test

3. Setting Up Pipelines

Follow these steps to set up Bitbucket Pipelines for your project:

  1. Log in to your Bitbucket account.
  2. Navigate to your repository.
  3. Click on Settings and then select Pipelines.
  4. Enable Pipelines.
  5. Create a bitbucket-pipelines.yml file in the root of your repository.
  6. Define your build steps in the YAML file.

4. Best Practices

When using Bitbucket Pipelines, consider the following best practices:

  • Use caching to speed up builds.
  • Break down complex pipelines into smaller steps.
  • Limit the use of environment variables for sensitive data.
  • Regularly review and update your pipeline configurations.
Note: Always ensure your configuration file is error-free by using a YAML validator.

5. FAQ

What is the maximum build time for Bitbucket Pipelines?

The maximum build time is 120 minutes per build, depending on your Bitbucket plan.

Can I run multiple pipelines simultaneously?

Yes, Bitbucket allows running multiple pipelines simultaneously but within the limits of your plan.

How do I debug a failing pipeline?

You can view logs for each step in the pipeline to identify where it is failing.