Learn from Production Patterns
This section provides real-world examples of how to deploy and manage applications in Kubernetes. From simple microservices to complex stateful applications, these examples demonstrate best practices and architectural patterns used in production environments.
Sample Microservices Applications
Practical examples with complete configurations
Stateful Applications & Databases
Managing persistent data in Kubernetes
Complete End-to-End Architecture Example
A fully functional microservices architecture
E-Commerce Platform Architecture
Components:
Frontend (React)
↓
API Gateway (Nginx/Kong)
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Microservices:
- User Service (Node.js)
- Product Service (Python)
- Order Service (Java)
- Payment Service (Go)
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Database Layer:
- PostgreSQL (User Data)
- MongoDB (Products)
- Redis (Cache/Sessions)
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Message Queue:
- RabbitMQ / Kafka (Async Events)
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Monitoring:
- Prometheus + Grafana
- ELK Stack for Logging
Key Features:
- Service mesh for inter-service communication
- Auto-scaling based on load
- Multi-environment deployment (dev/staging/prod)
- CI/CD pipeline integration
- Comprehensive monitoring and alerting
Deployment Patterns & Strategies
Common patterns for deploying applications
Key Takeaways from Real-World Examples
- Always use namespaces to isolate applications
- Implement comprehensive health checks
- Set appropriate resource limits
- Use init containers for dependencies
- Automate database migrations
- Implement proper security contexts
- Use ConfigMaps and Secrets correctly
- Monitor everything with Prometheus