Automating deployment processes can save time and reduce human error. Continuous Integration and Continuous Delivery (CICD) practices, such as GitHub Actions, allow developers to automate manual tasks like compiling code, running tests, and uploading to production infrastructure. In this video, we'll focus on using GitHub Actions to automate testing and deployment of code. We'll create a workflow that runs automatically every time code is pushed to the main branch, including building and deploying to a server. By automating these processes, developers can ensure their code is working correctly before merging it into production.
Introduction The video starts by stating that 9 out of 10 developers hate manual deployment processes, implying that automating deployment can save time and reduce errors. The speaker assumes the viewer is a developer who wants to automate their deployment process. Key Facts
- Continuous Integration and Continuous Delivery (CI/CD) is a practice that automates manual tasks in deploying code to production.
- Automating deployment removes human error, saves time, and ensures consistency.
- GitHub Actions is a tool used for CI/CD, which comes with pre-built templates and can be customized from scratch.
- To get started with GitHub Actions, you need a GitHub repository, where you can create workflows that automate tasks such as testing and deployment.
- Workflows can be triggered by various events, including push to main branch or creation of pull requests.
- GitHub Actions allows you to run jobs on different operating systems, including Ubuntu, which is the most common choice for developers.
- You can use a Node.js container to automatically install dependencies and run build scripts.
- To deploy code to production, you need to create another workflow that builds and deploys your project using SCP (Secure Copy) or SSH keys.
- GitHub Actions allows you to store sensitive credentials in Secrets, which cannot be stored in the repository for security reasons.
- You can test your workflows using ACT (Actions Test), which runs scripts offline.
Conclusion The video concludes by summarizing the key points and encouraging viewers to subscribe for more coding videos if they learned something new from the video.
