Architecture Overview

Cluster Architecture

graph TD
    subgraph Control Plane
        CP1[Control Plane 1<br>4 CPU, 16GB]
        CP2[Control Plane 2<br>4 CPU, 16GB]
        CP3[Control Plane 3<br>4 CPU, 16GB]

        CP1 --- CP2
        CP2 --- CP3
        CP3 --- CP1
    end

    subgraph Worker Nodes
        W1[Worker 1<br>16 CPU, 128GB]
        W2[Worker 2<br>16 CPU, 128GB]
    end

    subgraph GPU Node
        GPU[GPU Worker<br>16 CPU, 128GB<br>4x Tesla P100]
    end

    Control Plane --> Worker Nodes
    Control Plane --> GPU

Core Components

Control Plane

• High Availability: 3-node control plane configuration
• Resource Allocation: 4 CPU, 16GB RAM per node
• Components:
  • etcd cluster
  • API Server
  • Controller Manager
  • Scheduler

Worker Nodes

• General Purpose Workers: 2 nodes
• Resources per Node:
  • 16 CPU cores
  • 128GB RAM
• Workload Types:
  • Application deployments
  • Database workloads
  • Media services
  • Monitoring systems

GPU Node

• Specialized Worker: 1 node
• Hardware:
  • 16 CPU cores
  • 128GB RAM
  • 4x NVIDIA Tesla P100 GPUs
• Workload Types:
  • ML/AI workloads
  • Video transcoding
  • GPU-accelerated applications

Network Architecture

graph TD
    subgraph External
        Internet((Internet))
        DNS((DNS))
    end

    subgraph Network Edge
        FW[Firewall]
        LB[Load Balancer]
    end

    subgraph Kubernetes Network
        CP[Control Plane]
        Workers[Worker Nodes]
        GPUNode[GPU Node]

        subgraph Services
            Ingress[Ingress Controller]
            CoreDNS[CoreDNS]
            CNI[Network Plugin]
        end
    end

    Internet --> FW
    DNS --> FW
    FW --> LB
    LB --> CP
    CP --> Workers
    CP --> GPUNode
    Services --> Workers
    Services --> GPUNode

Storage Architecture

graph TD
    subgraph Storage Classes
        NFS[NFS Storage Class]
        OpenEBS[OpenEBS Storage Class]
    end

    subgraph Persistent Volumes
        NFS --> NFS_PV[NFS PVs]
        OpenEBS --> Local_PV[Local PVs]
    end

    subgraph Workload Types
        NFS_PV --> Media[Media Storage]
        NFS_PV --> Shared[Shared Config]
        Local_PV --> DB[Databases]
        Local_PV --> Cache[Cache Storage]
    end

Security Considerations

• Network segmentation using Kubernetes network policies
• Encrypted secrets management with SOPS
• TLS encryption for all external services
• Regular security updates via automated pipelines
• GPU access controls and resource quotas

Scalability

The cluster architecture is designed to be scalable:

• High-availability control plane (3 nodes)
• Expandable worker node pool
• Specialized GPU node for compute-intensive tasks
• Dynamic storage provisioning
• Load balancing for external services
• Resource quotas and limits management

Monitoring and Observability

graph LR
    subgraph Monitoring Stack
        Prom[Prometheus]
        Graf[Grafana]
        Alert[Alertmanager]
    end

    subgraph Node Types
        CP[Control Plane Metrics]
        Work[Worker Metrics]
        GPU[GPU Metrics]
    end

    CP --> Prom
    Work --> Prom
    GPU --> Prom
    Prom --> Graf
    Prom --> Alert

Resource Management

Control Plane

• Reserved for kubernetes control plane components
• Optimized for control plane operations
• High availability configuration

Worker Nodes

• General purpose workloads
• Balanced resource allocation
• Flexible scheduling options

GPU Node

• Dedicated for GPU workloads
• NVIDIA GPU operator integration
• Specialized resource scheduling