Landing-zone-hld

I'll create a high-level architecture diagram using Mermaid and then explain each component's role and responsibilities.

Let's break down each component's roles and responsibilities:

External Access Layer
- Load Balancer: Handles incoming traffic distribution and SSL termination
- Provides DDoS protection and initial security layer
API Management Layer
- Kong API Gateway:
  - Central routing for all services
  - Rate limiting
  - Authentication/Authorization
  - Traffic control and policies
- Kong Manager GUI:
  - Visual management of routes, plugins, and consumers
  - Monitoring API traffic
  - Configuration management
Kubernetes Management
- Rancher Dashboard:
  - Kubernetes cluster management
  - Workload deployment and monitoring
  - Access control and user management
- Monitoring Stack:
  - Prometheus: Metrics collection
  - Grafana: Visualization and dashboards
  - AlertManager: Alert routing and notifications
Infrastructure Nodes
- etcd Cluster: Kubernetes state storage
- Control Plane: Kubernetes master components
Application Node Pools
- Pool 1 (WordPress Services):
  - Separate WordPress instances with dedicated MariaDB
  - Resource isolation
- Pool 2 (Data-intensive Services):
  - Payload CMS with MongoDB
  - Wiki.js application
- Pool 3 (AI/ML Workloads):
  - Ollama AI service
  - Web UI interface
Storage Nodes
- OpenCloud:
  - File management system
  - Object storage interface
- Homarr:
  - User dashboard
  - Service discovery
Monitoring & Security
- Cert-Manager:
  - SSL certificate automation
  - Certificate lifecycle management
- HashiCorp Vault:
  - Secrets management
  - Encryption as a service
- Loki:
  - Log aggregation
  - Log search and analysis

Best Practices Implemented:

Security
- Network policies for pod-to-pod communication
- RBAC for access control
- Secrets management with Vault
- SSL/TLS encryption throughout
- Regular security scanning
High Availability
- Multiple nodes for redundancy
- Pod anti-affinity rules
- Distributed storage
- Load balancing
Monitoring
- Comprehensive metrics collection
- Log aggregation
- Alert management
- Performance monitoring
- Resource utilization tracking
Scalability
- Horizontal pod autoscaling
- Node autoscaling
- Resource quotas and limits
- Separate node pools for different workloads
Maintenance
- Rolling updates
- Backup and restore procedures
- Disaster recovery planning
- Configuration management

This architecture provides a robust, secure, and manageable environment for your SMB applications while following cloud-native best practices and ensuring proper resource isolation and monitoring.