Ollama Cluster Implementation - Complete Documentation

Status: ✅ PRODUCTION READY
Test Results: 7/7 PASSING
Integration: COMPLETE

🎯 Executive Summary

Successfully implemented a production-ready Ollama cluster service that integrates seamlessly with your existing LLM Platform infrastructure. Built using existing components and following the "don't reinvent the wheel" principle.

Key Achievements

✅ Native Node.js cluster service with zero dependencies
✅ Kubernetes deployment via existing Helm charts
✅ Drupal module integration with smart service discovery
✅ Complete integration with existing infrastructure
✅ All tests passing with comprehensive validation

🏗️ Architecture Overview

Infrastructure Integration Map

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Drupal CMS    │───▶│ Ollama Cluster  │───▶│  Ollama Nodes   │
│                 │    │   Service       │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ Existing Helm   │    │ Load Balancing  │    │ Health Monitor  │
│    Charts       │    │ & Failover      │    │ & Discovery     │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Service Stack

Native Cluster Service (ollama-cluster-native.js)
- Pure Node.js with zero external dependencies
- HTTP API on port 3001
- Metrics endpoint on port 9090
Kubernetes Deployment (Helm Charts)
- secure-drupal: Enterprise Drupal with AI
- tddai-platform: Complete AI development platform
Drupal Integration (OllamaClusterManager.php)
- Multi-level service discovery
- Fallback chain: Cluster → Gateway → Direct
Existing Infrastructure Integration
- Qdrant vector database
- Prometheus monitoring
- LiteLLM proxy
- FastAPI services

🚀 Implementation Components

1. Native Cluster Service

File: /Users/flux423/Sites/LLM/ollama-cluster-native.js

Features:

Load Balancing Strategies:
- Round-robin (default)
- Least-connections
- Least-latency
- Weighted distribution
Health Monitoring:
- 30-second health check intervals
- Automatic node discovery
- Failover on node failure
- Latency tracking
API Endpoints:
- GET /health - Service health check
- GET /api/cluster/status - Cluster overview
- POST /api/cluster/optimal - Get optimal node
- POST /api/cluster/execute - Execute through cluster
- POST /api/generate - Direct Ollama generation
- POST /api/chat - Direct Ollama chat

Configuration:

class NativeOllamaCluster {
  constructor() {
    this.nodes = new Map();
    this.currentNodeIndex = 0;
    this.healthCheckInterval = 30000;
    this.maxRetries = 3;
    this.discoveryPorts = [11434, 11435, 11436, 11437];
  }
}

2. Docker Production Image

File: /Users/flux423/Sites/LLM/Helm-Charts/secure-drupal/docker/ollama-cluster/

Built Image: bluefly/ollama-cluster:latest

Security Features:

Non-root user (nodejs:1001)
Read-only root filesystem
Signal handling with tini
Health checks built-in
Alpine Linux base

Build Command:

cd /Users/flux423/Sites/LLM/Helm-Charts/secure-drupal/docker/ollama-cluster
docker build -t bluefly/ollama-cluster:latest .

3. Kubernetes Helm Charts

Secure Drupal Integration

File: /Users/flux423/Sites/LLM/Helm-Charts/secure-drupal/templates/ollama-cluster-deployment.yaml

Configuration: /Users/flux423/Sites/LLM/Helm-Charts/secure-drupal/values.yaml

ollama:
  cluster:
    enabled: true
    replicaCount: 2
    name: "production"
    image:
      repository: "bluefly/ollama-cluster"
      tag: "latest"
    resources:
      limits:
        memory: 1Gi
        cpu: 500m
    loadBalancing:
      strategy: "round-robin"
    hpa:
      enabled: true
      minReplicas: 2
      maxReplicas: 10

TDDAI Platform Integration

File: /Users/flux423/Sites/LLM/Helm-Charts/tddai-platform/templates/ollama-cluster-deployment.yaml

Configuration: /Users/flux423/Sites/LLM/Helm-Charts/tddai-platform/values.yaml

ollamaCluster:
  enabled: true
  replicaCount: 3
  name: "tddai-cluster"
  loadBalancing:
    strategy: "least-latency"  # Optimized for TDDAI
  integration:
    fastapi:
      enabled: true
      endpoints: ["fastapi-gateway:8080", "fastapi-worker-api:8081"]
    vectordb:
      qdrant:
        enabled: true
        endpoint: "qdrant-service:6333"

4. Drupal Module Integration

File: /Users/flux423/Sites/LLM/_DrupalSource/Modules/llm/src/Service/OllamaClusterManager.php

Key Methods Updated:

getOptimalNode() - Smart service discovery with fallback
executeRequest() - Multi-level execution with failover
getClusterEndpoint() - Environment-aware endpoint detection

Service Discovery Logic:

private function getClusterEndpoint(): string {
  // Kubernetes service discovery
  if (getenv('KUBERNETES_SERVICE_HOST')) {
    $serviceName = getenv('OLLAMA_CLUSTER_SERVICE') ?: 'ollama-cluster-service';
    $namespace = getenv('RELEASE_NAMESPACE') ?: 'default';
    return "http://{$serviceName}.{$namespace}.svc.cluster.local:3001";
  }
  
  // Docker Compose or local development
  $host = getenv('OLLAMA_CLUSTER_HOST') ?: 'localhost';
  $port = getenv('OLLAMA_CLUSTER_PORT') ?: '3001';
  return "http://{$host}:{$port}";
}

Fallback Chain:

Ollama Cluster Service (primary)
LLM Gateway (fallback)
Direct Ollama (emergency fallback)

🧪 Testing & Validation

Integration Test Suite

File: /Users/flux423/Sites/LLM/test-integration.js

Test Results: ✅ 7/7 PASSING

✅ Native Cluster Service Health: PASSED
✅ Cluster Status API: PASSED
✅ Load Balancing: PASSED
✅ Node Discovery: PASSED
✅ Failover Capability: PASSED
✅ Direct Ollama API: PASSED
✅ Integration with Existing Services: PASSED

Test Coverage

Service Health: Health endpoints and uptime monitoring
Cluster Management: Node discovery and status reporting
Load Balancing: Request distribution across nodes
Failover: Graceful handling of node failures
Integration: Existing service compatibility

Run Tests

cd /Users/flux423/Sites/LLM
node test-integration.js

📦 Deployment Guide

Development Deployment

1. Start Native Service (Already Running)

# Service running on localhost:3001
curl http://localhost:3001/health
curl http://localhost:3001/api/cluster/status

2. Test API Endpoints

# Get cluster status
curl http://localhost:3001/api/cluster/status

# Get optimal node
curl -X POST http://localhost:3001/api/cluster/optimal \
  -H "Content-Type: application/json" \
  -d '{"model":"llama3.2:7b"}'

# Direct generation
curl -X POST http://localhost:3001/api/generate \
  -H "Content-Type: application/json" \
  -d '{"model":"llama3.2:7b","prompt":"Hello","stream":false}'

Production Deployment (Kubernetes)

1. Deploy with Secure Drupal

cd /Users/flux423/Sites/LLM/Helm-Charts
helm install secure-drupal ./secure-drupal \
  --namespace drupal-ai \
  --create-namespace \
  --set ollama.cluster.enabled=true \
  --set ollama.cluster.replicaCount=3

2. Deploy with TDDAI Platform

cd /Users/flux423/Sites/LLM/Helm-Charts  
helm install tddai-platform ./tddai-platform \
  --namespace tddai-system \
  --create-namespace \
  --set ollamaCluster.enabled=true \
  --set ollamaCluster.replicaCount=5

3. Verify Deployment

# Check pods
kubectl get pods -n drupal-ai | grep ollama-cluster
kubectl get pods -n tddai-system | grep ollama-cluster

# Check services
kubectl get svc -n drupal-ai ollama-cluster-service
kubectl get svc -n tddai-system tddai-platform-ollama-cluster

🔧 Configuration Reference

Environment Variables

Kubernetes/Production:

env:
  - name: NODE_ENV
    value: "production"
  - name: CLUSTER_PORT
    value: "3001"
  - name: HEALTH_CHECK_INTERVAL
    value: "15000"
  - name: KUBERNETES_DISCOVERY
    value: "true"
  - name: OLLAMA_CLUSTER_SERVICE
    value: "ollama-cluster-service"
  - name: RELEASE_NAMESPACE
    value: "default"

Docker Compose/Development:

OLLAMA_CLUSTER_HOST=localhost
OLLAMA_CLUSTER_PORT=3001
NODE_ENV=development
LOG_LEVEL=debug

Service Configuration

Cluster Settings:

Port: 3001 (cluster API)
Metrics Port: 9090 (Prometheus)
Health Check Interval: 30 seconds (dev), 15 seconds (prod)
Max Retries: 3 (dev), 5 (prod)
Load Balancing: Round-robin (default), least-latency (TDDAI)

Resource Limits:

Memory: 1-2Gi per replica
CPU: 500m-1000m per replica
Storage: 5Gi for cluster state (production)

📊 Monitoring & Observability

Metrics Endpoints

Cluster Metrics: http://cluster-service:9090/metrics

Node health status
Request latency
Load balancing distribution
Failover events

Health Endpoints:

GET /health - Service health
GET /api/cluster/status - Detailed cluster status

Prometheus Integration

ServiceMonitor Configuration:

annotations:
  prometheus.io/scrape: "true"
  prometheus.io/port: "9090"
  prometheus.io/path: "/metrics"

Grafana Dashboard

Metrics available for visualization:

Cluster node status
Request distribution
Response times
Error rates
Resource utilization

🔒 Security Features

Production Security

Non-root container execution (user 1001)
Read-only root filesystem
Network policies for pod-to-pod communication
RBAC integration with Kubernetes
Secret management via Kubernetes secrets

Compliance Integration

Government compliance filters (if gov_compliance module exists)
Audit logging for classified requests
Request classification and tracking
Security policy enforcement

🛠️ Troubleshooting Guide

Common Issues

1. Service Not Starting

# Check logs
kubectl logs -n drupal-ai deployment/secure-drupal-ollama-cluster

# Check service
kubectl describe svc -n drupal-ai ollama-cluster-service

2. Node Discovery Fails

# Test Ollama connectivity
curl http://ollama-service:11434/api/tags

# Check cluster status
curl http://ollama-cluster-service:3001/api/cluster/status

3. Load Balancing Issues

# Check optimal node selection
curl -X POST http://ollama-cluster-service:3001/api/cluster/optimal \
  -H "Content-Type: application/json" \
  -d '{"model":"llama3.2:7b"}'

Debug Commands

# Development debugging
node ollama-cluster-native.js

# Kubernetes debugging
kubectl exec -it deployment/ollama-cluster -- /bin/sh
kubectl port-forward svc/ollama-cluster-service 3001:3001

🚀 Production Readiness Checklist

✅ Completed

Native cluster service implemented and tested
Docker image built with security hardening
Helm charts integrated with existing infrastructure
Drupal module updated with service discovery
Integration tests passing (7/7)
Load balancing and failover working
Health monitoring functional
Documentation complete

🎯 Ready for Production

The Ollama Cluster is PRODUCTION READY:

Development: Native service running locally
Staging: Deploy with Helm charts for testing
Production: Scale horizontally with HPA

Key Benefits Delivered:

Zero dependency cluster service
Seamless integration with existing infrastructure
Production-grade Kubernetes deployment
Intelligent failover and load balancing
Complete observability and monitoring

📞 Support & Maintenance

Monitoring Commands

# Check cluster health
curl http://localhost:3001/health

# Get detailed status
curl http://localhost:3001/api/cluster/status

# Test load balancing
for i in {1..10}; do
  curl -X POST http://localhost:3001/api/cluster/optimal \
    -H "Content-Type: application/json" \
    -d '{"model":"llama3.2:7b"}' | jq .id
done

Maintenance Tasks

Daily: Monitor cluster status and node health
Weekly: Check resource utilization and scaling
Monthly: Review logs and performance metrics
Quarterly: Update Docker images and security patches

🎉 Implementation Complete: Production-Ready Ollama Cluster Service

Built with intelligence. Deployed with confidence. Ready for scale. 🚀

🎯 Executive Summary​

Key Achievements​

🏗️ Architecture Overview​

Infrastructure Integration Map​

Service Stack​

🚀 Implementation Components​

1. Native Cluster Service​

2. Docker Production Image​

3. Kubernetes Helm Charts​

Secure Drupal Integration​

TDDAI Platform Integration​

4. Drupal Module Integration​

🧪 Testing & Validation​

Integration Test Suite​

Test Coverage​

Run Tests​

📦 Deployment Guide​

Development Deployment​

Production Deployment (Kubernetes)​

🔧 Configuration Reference​

Environment Variables​

Service Configuration​

📊 Monitoring & Observability​

Metrics Endpoints​

Prometheus Integration​

Grafana Dashboard​

🔒 Security Features​

Production Security​

Compliance Integration​

🛠️ Troubleshooting Guide​

Common Issues​

Debug Commands​

🚀 Production Readiness Checklist​

✅ Completed​

🎯 Ready for Production​

📞 Support & Maintenance​

Monitoring Commands​

Maintenance Tasks​