Project Overview
This is a comprehensive DevOps implementation showcasing modern cloud-native practices for a full-stack banking application. The project demonstrates end-to-end automation from infrastructure provisioning to application deployment, monitoring, and alerting.
Application Architecture
- Frontend: Angular-based user interface for banking operations
- Backend: Spring Boot microservices handling business logic and data management
- Infrastructure: Cloud-native deployment on Amazon EKS with Kubernetes
Infrastructure & Platform
Cloud Infrastructure
The entire infrastructure is provisioned as code using Terraform on Amazon Web Services. Amazon EKS provides a managed Kubernetes cluster with scalable container orchestration.
Container Registry
- GitLab Container Registry: Centralized storage for Docker images
- Image Versioning: Automated tagging using commit hashes
CI/CD Pipeline Architecture
GitLab CI/CD Integration
The pipeline implements fully automated deployment triggered on every code push.
GitLab Runners Configuration
- Kubernetes Executor: Runners deployed inside the EKS cluster
- Dynamic Scaling: Automatic pod creation and destruction for CI jobs
- Resource Optimization: Efficient resource utilization with container-based execution
GitOps Implementation
ArgoCD Integration
Continuous Deployment through GitOps principles:
- Declarative Management: All configurations stored as code in Git repositories
- Automatic Synchronization: Real-time detection and deployment of changes
- Rollback Capabilities: Easy reversion to previous application states
- Multi-Environment Support: Separate configurations for dev, staging, and production
Helm Chart Management
- Modular Templates: Reusable Helm charts for different environments
- Configuration Management: Environment-specific values and secrets
- Version Control: All chart modifications tracked in Git
Monitoring & Observability
Prometheus & Grafana Stack
Comprehensive monitoring deployed via Helm charts:
Prometheus Features:
- Metrics Collection: Application and infrastructure performance data
- Service Discovery: Automatic detection of new services and endpoints
- Alert Rules: Custom alerting based on performance thresholds
Grafana Dashboards:
- Application Metrics: Response times, error rates, and throughput
- Cluster Monitoring: Resource utilization, pod status, and node health
Alert Management
- Slack Integration: Real-time notifications for system anomalies
Security & Configuration
Secret Management
- GitLab CI Variables: Secure handling of pipeline credentials
Configuration Handling
- ConfigMaps: Environment-specific application configurations
Technology Stack
| Category | Technology | Purpose |
|---|---|---|
| Frontend | Angular | Banking user interface and customer portal |
| Backend | Spring Boot | API development |
| Infrastructure | Terraform | Infrastructure as Code provisioning |
| Kubernetes Cluster | Amazon EKS | Managed Kubernetes orchestration |
| CI/CD | GitLab CI/CD | Automated build and deployment pipelines |
| GitOps | ArgoCD | Continuous deployment and configuration sync |
| Package Management | Helm | Kubernetes application templating |
| Monitoring | Prometheus + Grafana | Metrics collection and visualization |
| Container Registry | GitLab Registry | Docker image storage and management |
Key Learning Outcomes
DevOps Practices
- Pipeline Automation: Complete CI/CD implementation from code to production
- GitOps Workflows: Declarative infrastructure and application management
- Container Orchestration: Advanced Kubernetes deployment strategies
Infrastructure Management
- Infrastructure as Code: Terraform best practices for AWS resource management
- Security Hardening: Network policies, RBAC, and secret management
Monitoring & Operations
- Observability: Comprehensive logging, metrics, and tracing implementation
- Alert Engineering: Proactive monitoring and incident response automation