Introduction
As a tech company, your challenge is to keep your services operational, accessible, fix bugs quickly, and enhance your offerings. To achieve these goals, you need to build an automated pipeline that delivers your code to the deployment environment efficiently.
This is where CI/CD pipelines come in. Their goal is to deliver your app to your clients as safely and quickly as possible.
As an Aidodev DevOps Consultant, I had the role to build a CI/CD pipeline for one of our customers, and I would like to share my experience throughout this blog.
Essential Tools
Let's dive in and build our infrastructure and pipeline. First, we need to get familiar with some essential tools:
- Code Repository tool: Tools like GitHub, GitLab, and Cloud Source Repositories help track changes, collaborate, and manage branches.
- Artifact Storage: Centralized storage for Docker container images and other packages, ensuring seamless integration and security.
- Build Tool: Automates build processes and custom steps, offering scalability and efficiency.
- Deployment Tool: Platforms like Google Cloud Run and GKE provide scalability, flexibility, and cost-efficiency.
CI/CD Pipeline Workflow
The workflow involves several steps, including development, pushing code to a repository, building Docker images, storing them in an artifact repository, deploying to the cloud, gathering feedback, and repeating the cycle.
By integrating tools like Google Cloud Build and Terraform, we automated and optimized our processes for seamless development to production transitions.
Implementation
We used Terraform for infrastructure provisioning and Google Cloud Build for pipeline setup. For deployment, Cloud Run was chosen due to its serverless environment and scalability benefits. Artifact storage was managed using Google Artifact Registry, and triggers in Google Cloud Build ensured automation.
Conclusion
By integrating these tools and workflows, you can build a robust CI/CD pipeline that ensures a seamless transition from development to production, enhancing efficiency and scalability.