Enterprise Kubernetes Microservices DevOps Reference

This repository demonstrates a highly scalable, production-grade DevOps pipeline for a polyglot microservices-based enterprise application deployed on Kubernetes. It includes CI/CD automation, infrastructure-as-code, monitoring, logging, secrets management, and resilient deployment strategies.

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Features

• Kubernetes: Manifests & Helm charts for microservices, autoscaling, and service mesh (Istio or Linkerd).
• CI/CD: Automated pipelines using GitHub Actions.
• Infrastructure-as-Code: Provision EKS/GKE/AKS clusters and supporting resources with Terraform.
• Containerization: Dockerfiles for each service.
• Monitoring: Prometheus + Grafana dashboards.
• Centralized Logging: ELK Stack (Elasticsearch, Logstash, Kibana) setup.
• Secrets Management: HashiCorp Vault integration.
• Resilient Deployments: Blue/Green or Canary deployment via Argo Rollouts.
• Horizontal Scaling: Kubernetes HPA enabled by custom metrics.

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Architecture

graph TD;
    SCM(GitHub)-->CI/CD;
    CI/CD-->DockerHub;
    CI/CD-->Kubernetes;
    Kubernetes-->Microservices;
    Kubernetes-->Prometheus;
    Kubernetes-->ELK;
    Kubernetes-->Vault;
    Microservices-->Prometheus;
    Microservices-->ELK;
    Vault-->Microservices;

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Getting Started

Prerequisites

• Docker
• kubectl
• Terraform
• Helm
• AWS CLI or gcloud or az
• Vault CLI
• ArgoCD

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Project Structure

.
├── .github/workflows/         # GitHub Actions pipelines
├── terraform/                 # Infrastructure-as-Code modules
├── charts/                    # Helm charts for microservices
├── k8s/                       # Raw Kubernetes manifests
├── services/                  # Microservices source code (polyglot)
│   ├── service-a/
│   ├── service-b/
│   └── ...
├── monitoring/                # Prometheus & Grafana configs
├── logging/                   # ELK deployment configs
├── secrets/                   # Vault policies & examples
└── README.md

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CI/CD Pipeline

• On push/PR:
  • Lint, test, build Docker images
  • Push images to registry
  • Deploy to staging using Helm
  • Run integration tests
  • Manual/auto promotion to production (blue/green)

See .github/workflows/ for pipeline YAMLs.

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Infrastructure Provisioning

cd terraform/
terraform init
terraform apply

Creates cloud K8s cluster, VPC, monitoring/logging resources.

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Deployment

1. Build and Push Images:

   cd services/service-a
   docker build -t <dockerhub-username>/service-a:latest .
   docker push <dockerhub-username>/service-a:latest

2. Deploy via Helm:

   helm upgrade --install service-a charts/service-a -n production

3. Monitor:

   • Access Grafana: kubectl port-forward svc/grafana 3000:3000
   • Access Kibana: kubectl port-forward svc/kibana 5601:5601

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Secrets Management

• Store secrets in Vault.
• Inject secrets using Kubernetes Vault Injector or CSI driver.

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Scaling & Blue/Green

• Edit values.yaml for replica count or HPA settings.
• Use Argo Rollouts or Kubernetes native blue/green configuration.

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Monitoring & Logging

• Prometheus scrapes and alerts on service metrics.
• Grafana dashboards for visualization.
• ELK stack aggregates logs from all pods.

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Security

• RBAC enabled
• NetworkPolicies in place
• Secrets never stored in source code

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Contributing

1. Fork the repo
2. Create your feature branch (git checkout -b feature/foo)
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

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License

MIT

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References

• Kubernetes Official Docs
• Terraform AWS Provider
• GitHub Actions
• HashiCorp Vault
• Argo Rollouts

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. ├── .github/ │ └── workflows/ │ └── ci-cd.yaml ├── charts/ │ └── service-a/ │ ├── Chart.yaml │ ├── values.yaml │ └── templates/ │ ├── deployment.yaml │ └── service.yaml ├── k8s/ │ ├── service-a.yaml │ └── service-a-rollout.yaml ├── logging/ │ └── elk.yaml ├── monitoring/ │ ├── prometheus.yaml │ └── grafana.yaml ├── secrets/ │ └── policy.hcl ├── services/ │ └── service-a/ │ ├── index.js │ ├── package.json │ └── Dockerfile ├── terraform/ │ ├── main.tf │ ├── variables.tf │ └── outputs.tf ├── .gitignore └── README.md