open-telemetry / opentelemetry.io

CI/CD Pipelines for OpenTelemetry.io

This documentation page provides an overview of the Continuous Integration (CI) and Continuous Deployment (CD) pipelines used within the OpenTelemetry.io GitHub repository (https://github.com/open-telemetry/opentelemetry.io/). Here, we cover the possible options and provide examples for each.

What is CI/CD Pipelines?

CI/CD pipelines are automated workflows that build, test, and deploy code changes. They help ensure the quality, reliability, and security of software projects by automating the process of integrating code changes, running tests, and deploying new releases.

In the context of OpenTelemetry.io, the CI/CD pipelines are managed using GitHub Actions (https://github.com/features/actions). GitHub Actions is a continuous integration, continuous delivery, and continuous deployment platform that lets you automate your workflow.

Why is CI/CD Pipelines important?

CI/CD pipelines are essential for modern software development as they help:

  1. Improve code quality: Automated tests run as part of the pipeline help catch bugs and issues early in the development process.
  2. Reduce manual effort: Automating the build, test, and deployment process saves time and effort, allowing developers to focus on writing code.
  3. Ensure consistency: CI/CD pipelines help maintain consistency across different environments, ensuring that the code runs correctly in production.
  4. Faster feedback: Automated testing and deployment provide faster feedback to developers, allowing them to address issues quickly.

OpenTelemetry.io CI/CD Workflow

The OpenTelemetry.io CI/CD workflow consists of the following stages:

  1. Push event: When a developer pushes changes to a branch in the OpenTelemetry.io repository, a GitHub Actions workflow is triggered.
  2. Build: The workflow starts by building the code using the appropriate build tools. For OpenTelemetry.io, this is typically done using Docker.
  3. Test: The built code is then tested using a combination of unit tests, integration tests, and end-to-end tests.
  4. Lint: The code is checked for syntax errors and style issues using linters.
  5. Code coverage: The code coverage is measured to ensure that sufficient tests have been written for the changes.
  6. Security scan: The code is scanned for vulnerabilities using tools like Dependabot and Snyk.
  7. Deploy: Once all the tests pass and the code is deemed safe, it is deployed to the appropriate environment.

Examples

Here are some examples of the YAML configuration files used in the OpenTelemetry.io GitHub Actions workflows:

For more information on GitHub Actions and how to create your own workflows, refer to the official documentation: https://docs.github.com/en/actions