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Kubernetes-Based Microservices Architecture

This project demonstrates a production-grade microservices architecture deployed on Kubernetes. The system implements modern cloud-native practices with a focus on scalability, maintainability, and operational efficiency.

Ekran görüntüsü 2025-06-07 012640

Kubernetes Architecture

The deployment architecture is organized using Kustomize for environment-specific configurations:

Base Configuration

  • Namespaces: Isolated environments for different components
  • Deployments: Stateless application services
  • StatefulSets: Database and other stateful services
  • Services: Internal and external service definitions
  • ConfigMaps: Environment-specific configurations
  • Secrets: Secure credential management
  • Ingress: External access management
  • Storage: Persistent volume management

Environment Overlays

  • Development: Local development environment
  • Staging: Pre-production testing environment
  • Production: Live environment with production-grade configurations

Service Components

Frontend Service

  • Next.js application containerized for Kubernetes
  • Horizontal scaling support
  • Resource limits and requests defined
  • Health check endpoints
  • ConfigMap-based environment configuration

Backend Microservices

  • Go-based microservices with gRPC support
  • Independent scaling capabilities
  • Service mesh integration ready
  • Resource optimization for container environments
  • Graceful shutdown handling

API Gateway (KrakenD)

  • Request routing and aggregation
  • Rate limiting and circuit breaking
  • Security policy enforcement
  • Load balancing configuration
  • High availability setup

Database Layer

  • PostgreSQL StatefulSet deployment
  • Persistent volume management
  • Automated backups
  • High availability configuration
  • Resource optimization

Kubernetes Features

Resource Management

  • CPU and memory limits per container
  • Resource quotas per namespace
  • Horizontal Pod Autoscaling (HPA)
  • Vertical Pod Autoscaling (VPA)

Networking

  • Ingress controller configuration
  • Service mesh integration
  • Network policies
  • Load balancing strategies
  • DNS management

Storage

  • Persistent Volume Claims (PVC)
  • Storage Class definitions
  • Volume snapshots
  • Backup and restore procedures

Security

  • Role-Based Access Control (RBAC)
  • Network policies
  • Secret management
  • Pod security policies
  • Service account configuration

Monitoring and Logging

  • Prometheus metrics collection
  • Grafana dashboards
  • Centralized logging
  • Alert management
  • Performance monitoring

Operational Features

Deployment Strategies

  • Rolling updates
  • Blue-green deployments
  • Canary releases
  • Rollback procedures

High Availability

  • Multi-replica deployments
  • Anti-affinity rules
  • Pod disruption budgets
  • Failure recovery procedures

Maintenance

  • Automated scaling
  • Self-healing capabilities
  • Resource optimization
  • Backup and restore procedures

Infrastructure Requirements

Kubernetes Cluster

  • Minimum 3 nodes
  • 8GB RAM per node
  • 4 CPU cores per node
  • 100GB storage per node

Storage

  • Persistent volume provisioner
  • Storage class configuration
  • Backup storage solution

Networking

  • Load balancer
  • Ingress controller
  • DNS configuration
  • Network policies

Best Practices Implementation

  • Infrastructure as Code (IaC) [Terraform]
  • GitOps workflow
  • Continuous Deployment
  • Automated testing
  • Compliance monitoring

About

This project demonstrates a production-grade microservices architecture deployed on Kubernetes. The system implements modern cloud-native practices with a focus on scalability, maintainability, and operational efficiency.

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