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Ollama Cluster - Production Deployment Checklist

✅ Implementation Status​

Core Components​

  • Native cluster service implemented and tested
  • Docker image built: bluefly/ollama-cluster:latest
  • Helm chart templates created for both platforms
  • Drupal module updated with service discovery
  • Integration tests all passing (7/7)
  • Documentation comprehensive and complete

Infrastructure Integration​

  • Existing Helm charts enhanced (secure-drupal, tddai-platform)
  • Qdrant vector database configuration ready
  • Prometheus monitoring endpoints configured
  • Security hardening implemented in containers
  • Load balancing with multiple strategies
  • Health monitoring and automatic failover

🚀 Deployment Options​

Option 1: Development/Testing (Ready Now)​

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

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

Option 2: Kubernetes Production​

Deploy with Secure Drupal​

cd /Users/flux423/Sites/LLM/Helm-Charts

# Create namespace
kubectl create namespace drupal-ai

# Deploy with cluster enabled
helm install secure-drupal ./secure-drupal \
  --namespace drupal-ai \
  --set ollama.cluster.enabled=true \
  --set ollama.cluster.replicaCount=3 \
  --set ollama.cluster.hpa.enabled=true

# Verify deployment
kubectl get pods -n drupal-ai | grep ollama-cluster
kubectl get svc -n drupal-ai ollama-cluster-service

Deploy with TDDAI Platform​

cd /Users/flux423/Sites/LLM/Helm-Charts

# Create namespace  
kubectl create namespace tddai-system

# Deploy with enhanced cluster
helm install tddai-platform ./tddai-platform \
  --namespace tddai-system \
  --set ollamaCluster.enabled=true \
  --set ollamaCluster.replicaCount=5 \
  --set ollamaCluster.loadBalancing.strategy="least-latency"

# Verify deployment
kubectl get pods -n tddai-system | grep ollama-cluster
kubectl get svc -n tddai-system tddai-platform-ollama-cluster

🔍 Pre-Deployment Verification​

1. Run Integration Tests​

cd /Users/flux423/Sites/LLM
node test-integration.js
# Expected: 7/7 tests passing

2. Validate Docker Image​

# Check image exists
docker images bluefly/ollama-cluster:latest

# Test container
docker run --rm -p 3001:3001 bluefly/ollama-cluster:latest &
sleep 10
curl http://localhost:3001/health

3. Verify Helm Charts​

# Validate secure-drupal chart
cd Helm-Charts
helm lint ./secure-drupal
helm template test ./secure-drupal --set ollama.cluster.enabled=true

# Validate tddai-platform chart  
helm lint ./tddai-platform
helm template test ./tddai-platform --set ollamaCluster.enabled=true

📊 Post-Deployment Monitoring​

Health Checks​

# Local development
curl http://localhost:3001/health
curl http://localhost:3001/api/cluster/status

# Kubernetes
kubectl port-forward svc/ollama-cluster-service 3001:3001
curl http://localhost:3001/health

Performance Monitoring​

# Check metrics endpoint
curl http://localhost:3001/metrics

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

Drupal Integration Test​

cd llm-platform
ddev start

# Test cluster manager service
ddev drush eval "
\$cluster = \Drupal::service('llm.ollama_cluster_manager');
\$status = \$cluster->getClusterStatus();
print_r(\$status);
"

🛡️ Security Validation​

Container Security​

  • Non-root user (nodejs:1001)
  • Read-only root filesystem
  • No privileged escalation
  • Security context applied

Network Security​

  • Network policies configured
  • Service-to-service communication secured
  • CORS headers properly configured
  • Authentication ready (disabled by default)

Compliance​

  • Government compliance filters integrated
  • Audit logging enabled
  • Request classification supported
  • Data sovereignty maintained

📈 Scaling Configuration​

Horizontal Pod Autoscaler​

# Already configured in Helm charts
hpa:
  enabled: true
  minReplicas: 2-3
  maxReplicas: 10-20
  targetCPU: 60-70
  targetMemory: 70-80

Resource Limits​

resources:
  limits:
    memory: 1-2Gi
    cpu: 500m-1000m
  requests:
    memory: 512Mi-1Gi
    cpu: 250m-500m

🔄 Rollback Plan​

Quick Rollback​

# Disable cluster in existing deployment
helm upgrade secure-drupal ./secure-drupal \
  --set ollama.cluster.enabled=false

# Or rollback to previous release
helm rollback secure-drupal 1

Fallback Service​

# Service automatically falls back to:
# 1. LLM Gateway (localhost:3001)
# 2. Direct Ollama (localhost:11434)

✅ Go/No-Go Decision Matrix​

GO Criteria (All Met ✅)​

  • Integration tests: 7/7 passing
  • Docker image: Built and tested
  • Helm charts: Validated and ready
  • Documentation: Complete
  • Fallback mechanisms: Working
  • Resource requirements: Defined
  • Monitoring: Configured

NO-GO Criteria (None Present ✅)​

  • Critical test failures
  • Security vulnerabilities
  • Missing dependencies
  • Incomplete documentation
  • Resource constraints
  • Integration conflicts

🎯 Deployment Recommendation​

STATUS: ✅ GO FOR PRODUCTION

Recommended deployment sequence:

  1. Development: Already running locally - ready for immediate use
  2. Staging: Deploy to test Kubernetes cluster first
  3. Production: Deploy with secure-drupal for enterprise use
  4. Scale: Deploy with tddai-platform for AI development workloads

Next steps:

  1. Choose deployment option (secure-drupal or tddai-platform)
  2. Set appropriate replica counts based on load
  3. Configure monitoring and alerting
  4. Schedule regular health checks

🚀 Ready for immediate production deployment!