Building a Resilient Kubernetes Ecosystem: Detailed Overview
Introduction
In this project, I have architected and deployed a robust Kubernetes ecosystem using kubeadm
. The setup comprises a master node and two worker nodes, each with different hardware configurations to optimize resource utilization. The project demonstrates the integration of advanced DevOps tools and techniques to host, monitor, secure, and scale multiple applications seamlessly.
Kubernetes Cluster Overview
-
Cluster Setup:
- Master node and two worker nodes created using
kubeadm
. - Node configurations:
- Worker Node 1: 4 GB RAM
- Worker Node 2: 16 GB RAM
- Master node and two worker nodes created using
-
Networking:
- SSL certificates issued via Let's Encrypt and managed using
cert-manager
. - Applications exposed using ingress controllers.
- SSL certificates issued via Let's Encrypt and managed using
-
Monitoring and Logging:
- External Grafana, Prometheus, and Loki stack configured outside the cluster.
- Agents deployed within the cluster to push logs and metrics for monitoring and downtime analysis.
Applications Deployed
-
ChatApp
- Open-source real-time chat application by Hitech Chaudhary.
- Deployed with GitHub Actions for CI/CD.
- Repository: chat-socket-DevSecOps-K8-MultiCloud (opens in a new tab)
-
Robot Shop
- Multi-microservices e-commerce application crafted by IBM.
- Stress-tested to ensure scalability.
- Repository: kubernetes_ecomapp_DR-OPS (opens in a new tab)
-
Streamify
- YouTube clone application developed by my brother.
- CI/CD pipeline integrated for automated deployments.
- Repository: K8s-Streamify (opens in a new tab)
CI/CD and Automation
-
GitOps with Argo CD:
- Fully automated deployments with zero manual intervention.
- Configurations stored in Git repositories to ensure version control and traceability.
-
GitHub Actions Runners:
- Continuous Integration (CI) pipelines to build and push Docker images to Docker Hub.
- Trigger Argo CD to deploy the latest updates to the cluster.
Security Measures
-
Falco and Falco Sidekick:
- Real-time anomaly detection and security event monitoring.
- Events manually triggered to validate detection capabilities.
-
SSL Certificates:
- All applications secured using Let's Encrypt certificates via
cert-manager
.
- All applications secured using Let's Encrypt certificates via
Monitoring and Performance Testing
-
Load Testing:
- Conducted on Robot Shop to assess scalability and pod auto-scaling under stress.
-
Metrics and Logs:
- Grafana dashboards set up for CPU, memory, and pod utilization metrics.
- Loki used for centralized log aggregation.
Infrastructure Diagram
To provide a clear representation of the architecture, I’ve created an infrastructure diagram:
GitHub Repositories
Explore the repositories to learn more about the applications and resource deployment:
- Streamify: GitHub Repository (opens in a new tab)
- ChatApp: GitHub Repository (opens in a new tab)
- Robot Shop: GitHub Repository (opens in a new tab)
- Resource Deployment: GitHub Repository (opens in a new tab)
Conclusion
This project showcases the complexity and sophistication required to manage a Kubernetes ecosystem hosting multiple applications. The integration of GitOps, external monitoring, and robust security measures highlights the importance of automation and observability in modern DevOps practices. This setup can inspire fellow engineers to implement similar architectures, leveraging the power of Kubernetes for scalable, secure, and efficient application hosting.