DevOps Workflow Summary

📄 For in-depth documentation, click here

---

✅ DevOps Setup

🔁 CI Pipeline (GitHub Actions)

🚀 CD Pipeline (ArgoCD)

---

🧰 Tools Used

• Go (Golang) – Application language
• Docker – Containerization
• Docker Hub – Image registry
• Kubernetes (EKS) – Container orchestration
• kubectl & eksctl – Cluster management
• Helm – Kubernetes package manager (templating)
• GitHub & Git – Source control
• GitHub Actions – Continuous Integration (CI)
• ArgoCD – GitOps-based Continuous Delivery (CD)
• AWS EC2, VPC, Load Balancer, CloudFormation – Cloud infrastructure

---

🔁 DevOps Workflow

1. Application Development

• A simple Go application that renders an "About Me" page.

2. Containerization

• Multi-stage Dockerfile used.
• Final image uses distroless base.
• Tagged and pushed to Docker Hub.

3. Kubernetes Setup (EKS)

• Created a cluster with eksctl.
• Wrote Kubernetes manifests:
  • deployment.yaml
  • service.yaml
  • ingress.yaml
• Applied manifests via kubectl.

4. Ingress Controller

• Deployed NGINX ingress controller.
• Configured ingress resource for load balancing.
• Used LoadBalancer IP mapped to domain via /etc/hosts.

5. Helm Chart for the App

• Used helm create to scaffold chart.
• Replaced hardcoded values with templated variables in:
  • values.yaml
  • deployment.yaml, etc.
• Supports multiple environments (e.g., dev, prod).

6. Continuous Integration (GitHub Actions)

• CI Workflow stages:
  • Run unit tests
  • Static code analysis
  • Build and tag Docker image (with commit ID)
  • Push image to Docker Hub
  • Update Helm values.yaml with new tag
  • Commit updated chart back to GitHub

7. Continuous Delivery (ArgoCD)

• Installed ArgoCD in its own namespace.
• Configured to monitor Helm chart repo.
• Syncs and deploys the latest image on change.
• Enabled auto-sync with self-healing.

---

✅ This end-to-end workflow automates development, testing, deployment, and delivery using modern DevOps tools and GitOps principles.