While I can throw together a script or two (like the weather CLI I recently blogged about), write some python, and work well with declarative syntax, I’m not primarily a developer. My real passion lies in the world of DevOps – building, automating, and optimizing the infrastructure and processes that empower developers to do their best work.
That’s why I’m kicking off this new blog series about constructing a robust CI/CD pipeline. This time, we’ll be looking at it through the lens of a DevOps engineer, focusing on the infrastructure, automation, and tooling that make CI/CD possible.
The CI/CD Pipeline: A DevOps Foundation
Continuous Integration and Continuous Delivery (CI/CD) are at the heart of modern software development. By automating the build, test, and deployment processes, CI/CD pipelines enable faster releases, higher quality code, and more efficient collaboration.
My Pipeline Vision
Here’s a glimpse into the key components of the CI/CD pipeline I’m building:
- Source Control: GitHub will house all our code and serve as the trigger for our pipeline.
- CI/CD Orchestration: Jenkins will be our trusty CI server, orchestrating the pipeline stages and executing jobs.
- Infrastructure Automation: Ansible will be our weapon of choice for automating server configuration, software installation, and deployments.
- Artifact Management: We’ll use Artifactory CE to provide a central repository for our build artifacts, dependencies, and other important files.
- Storage: Our network file system will provide shared storage for various components. (While NFS might not be ideal for an enterprise environment, it’s a practical choice for this home lab setup. Many other parts of the environment will be containerized for easier management and scalability.)
- Containerized Testing and Development: We’ll leverage Docker to create consistent and reproducible environments for development and testing. Tools like Ansible and Molecule will be containerized to streamline our workflow.
- Infrastructure: Proxmox will host our virtual machines, including the Jenkins server and other supporting components. Kubernetes will provide a dynamic container orchestration platform for applications not directly related to operations.
- Monitoring and Observability: Grafana dashboards will give us insights into the health and performance of our pipeline and infrastructure. Zabbix will provide basic alerting.
A DevOps Journey
This blog series will chronicle my journey as I build and refine this CI/CD pipeline. We’ll delve into:
- Preparing the Development Environment:
- Equipping our development machine (
techlab) with essential tools like Docker, Git, and a suitable IDE. - Building a containerized environment for Ansible and Molecule to facilitate testing and development.
- Equipping our development machine (
- Jenkins: The Orchestrator:
- Installing and configuring Jenkins.
- Defining pipeline stages and jobs.
- Integrating Jenkins with GitHub via webhooks.
- Ansible: Automating All the Things:
- Writing Ansible playbooks to automate server provisioning and configuration.
- Managing deployments and updates.
- Integrating Ansible with Jenkins for seamless automation.
- Artifactory CE: Managing Our Artifacts:
- Setting up and configuring Artifactory CE.
- Storing and retrieving build artifacts.
- Managing dependencies and libraries.
- Proxmox and Kubernetes: The Infrastructure Foundation:
- Provisioning virtual machines on Proxmox.
- Deploying and managing Kubernetes clusters.
- Integrating infrastructure provisioning with Ansible.
- Grafana: Monitoring and Observability:
- Creating Grafana dashboards to visualize pipeline metrics and infrastructure health.
- Setting up alerts and notifications for critical events.
Join Me on this Adventure!
I invite you to follow along as I navigate the challenges and triumphs of building a CI/CD pipeline from a DevOps perspective. I’ll be sharing my experiences, code snippets, and lessons learned along the way.
Stay tuned for the next post where we’ll dive into setting up our development environment!