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DevOps Workflow Automation

A visual guide to a modern, automated CI/CD pipeline for a microservices application.

CI/CD Pipeline Diagram

Plan Jira / Confluence Code Git / VS Code Build Jenkins / GitLab CI Maven / npm Docker Build Push to Artifactory Test JUnit / Selenium Release Terraform / Helm Deploy Kubernetes (EKS) Blue/Green Operate AWS / Azure Monitor (Feedback Loop) Prometheus / Grafana / EFK

Workflow Breakdown

1. Plan & Code

Development starts with planning in tools like Jira. Developers then write code locally using Git for version control. On every push to a feature branch, a webhook triggers the CI/CD pipeline.

2. Build & Test

The pipeline, managed by Jenkins or GitLab CI, compiles the code, runs unit and integration tests, and builds a Docker image. The immutable image is then pushed to a container registry like Artifactory or Docker Hub.

3. Release & Deploy

Infrastructure as Code (IaC) tools like Terraform provision the necessary cloud resources. Helm charts define the Kubernetes application, which is then deployed to a staging environment in Amazon EKS. After successful validation, a blue-green deployment strategy is used to release to production with zero downtime.

4. Operate & Monitor

The live application is monitored using Prometheus for metrics, Grafana for visualization, and the EFK stack for logging. Alerts are configured to notify the team of any issues, creating a continuous feedback loop that informs the next planning cycle.