Microsoft Azure Deployment - Geode Graph Database | Tags

Geode on Microsoft Azure

Microsoft Azure provides enterprise-grade cloud infrastructure for deploying Geode graph database with comprehensive managed services, global reach, hybrid cloud capabilities, and deep integration with Microsoft’s ecosystem. This guide covers production-ready deployment patterns, best practices, and Azure-specific optimizations.

Azure Deployment Options

Azure Virtual Machines

Deploy Geode on dedicated VMs for maximum control and performance.

Recommended VM Series:

General Purpose (Development/Testing):

D-Series v5: Balanced compute and memory
- D4s_v5: 4 vCPUs, 16 GB RAM (small workloads)
- D8s_v5: 8 vCPUs, 32 GB RAM (medium workloads)
- D16s_v5: 16 vCPUs, 64 GB RAM (large workloads)

Memory Optimized (Production):

E-Series v5: High memory-to-CPU ratio for graph workloads
- E8s_v5: 8 vCPUs, 64 GB RAM
- E16s_v5: 16 vCPUs, 128 GB RAM
- E32s_v5: 32 vCPUs, 256 GB RAM

Compute Optimized:

F-Series v2: High CPU performance for query-intensive workloads
- F8s_v2: 8 vCPUs, 16 GB RAM
- F16s_v2: 16 vCPUs, 32 GB RAM

Storage Optimized:

L-Series v3: Large local NVMe storage
- L8s_v3: 8 vCPUs, 64 GB RAM, 1.92 TB NVMe
- L16s_v3: 16 vCPUs, 128 GB RAM, 3.84 TB NVMe

Azure Kubernetes Service (AKS)

Deploy Geode on AKS for automatic scaling, rolling updates, and orchestration.

Benefits:

Managed Kubernetes control plane
Auto-scaling (HPA and Cluster Autoscaler)
Integration with Azure Active Directory
Built-in monitoring with Azure Monitor
Automatic security patches and updates

Node Pool Configuration:

# Create AKS cluster with system node pool
az aks create \
  --resource-group geode-rg \
  --name geode-cluster \
  --node-count 3 \
  --node-vm-size Standard_D4s_v5 \
  --enable-managed-identity \
  --enable-cluster-autoscaler \
  --min-count 3 \
  --max-count 10 \
  --network-plugin azure \
  --enable-addons monitoring \
  --location eastus

# Add memory-optimized node pool for Geode
az aks nodepool add \
  --resource-group geode-rg \
  --cluster-name geode-cluster \
  --name geodepool \
  --node-count 3 \
  --node-vm-size Standard_E8s_v5 \
  --node-taints workload=geode:NoSchedule \
  --labels workload=geode \
  --enable-cluster-autoscaler \
  --min-count 3 \
  --max-count 12

Azure Container Instances (ACI)

Quick deployment for development and testing:

# Deploy single Geode instance
az container create \
  --resource-group geode-rg \
  --name geode-dev \
  --image geodedb/geode:latest \
  --cpu 4 \
  --memory 16 \
  --ports 3141 8443 \
  --dns-name-label geode-dev \
  --environment-variables \
    GEODE_LOG_LEVEL=info \
  --location eastus

VM Deployment Guide

Single-Instance Deployment

1. Create Resource Group:

az group create \
  --name geode-rg \
  --location eastus

2. Create Virtual Network:

az network vnet create \
  --resource-group geode-rg \
  --name geode-vnet \
  --address-prefix 10.0.0.0/16 \
  --subnet-name geode-subnet \
  --subnet-prefix 10.0.1.0/24

3. Create Network Security Group:

az network nsg create \
  --resource-group geode-rg \
  --name geode-nsg

# Allow QUIC (3141)
az network nsg rule create \
  --resource-group geode-rg \
  --nsg-name geode-nsg \
  --name AllowQuic \
  --priority 100 \
  --source-address-prefixes '*' \
  --destination-port-ranges 3141 \
  --protocol Udp \
  --access Allow

# Allow HTTPS (8443)
az network nsg rule create \
  --resource-group geode-rg \
  --nsg-name geode-nsg \
  --name AllowHttps \
  --priority 101 \
  --source-address-prefixes '*' \
  --destination-port-ranges 8443 \
  --protocol Tcp \
  --access Allow

# Allow SSH
az network nsg rule create \
  --resource-group geode-rg \
  --nsg-name geode-nsg \
  --name AllowSsh \
  --priority 102 \
  --source-address-prefixes 'YOUR_IP/32' \
  --destination-port-ranges 22 \
  --protocol Tcp \
  --access Allow

4. Create VM with Premium SSD:

az vm create \
  --resource-group geode-rg \
  --name geode-vm-01 \
  --image Ubuntu2204 \
  --size Standard_E8s_v5 \
  --vnet-name geode-vnet \
  --subnet geode-subnet \
  --nsg geode-nsg \
  --storage-sku Premium_LRS \
  --os-disk-size-gb 128 \
  --data-disk-sizes-gb 512 \
  --admin-username azureuser \
  --ssh-key-values ~/.ssh/id_rsa.pub \
  --public-ip-sku Standard

5. Install Geode:

# SSH into VM
ssh azureuser@<VM_PUBLIC_IP>

# Install Docker
curl -fsSL https://get.docker.com -o get-docker.sh
sh get-docker.sh
sudo usermod -aG docker $USER

# Mount data disk
sudo mkfs.ext4 /dev/sdc
sudo mkdir /data
sudo mount /dev/sdc /data
echo '/dev/sdc /data ext4 defaults 0 0' | sudo tee -a /etc/fstab

# Run Geode
docker run -d \
  --name geode \
  --restart always \
  -p 3141:3141/udp \
  -p 8443:8443/tcp \
  -v /data:/var/lib/geode \
  -e GEODE_DATA_DIR=/var/lib/geode \
  geodedb/geode:latest serve --listen 0.0.0.0:3141

High-Availability Deployment

Deploy multiple VMs with Azure Load Balancer:

1. Create Availability Set:

az vm availability-set create \
  --resource-group geode-rg \
  --name geode-avset \
  --platform-fault-domain-count 2 \
  --platform-update-domain-count 5

2. Create Load Balancer:

az network lb create \
  --resource-group geode-rg \
  --name geode-lb \
  --sku Standard \
  --vnet-name geode-vnet \
  --subnet geode-subnet \
  --backend-pool-name geode-backend \
  --frontend-ip-name geode-frontend

# Create health probe
az network lb probe create \
  --resource-group geode-rg \
  --lb-name geode-lb \
  --name geode-health \
  --protocol tcp \
  --port 8443 \
  --interval 30

# Create load balancing rule (QUIC)
az network lb rule create \
  --resource-group geode-rg \
  --lb-name geode-lb \
  --name GeodeQuic \
  --protocol Udp \
  --frontend-port 3141 \
  --backend-port 3141 \
  --frontend-ip-name geode-frontend \
  --backend-pool-name geode-backend \
  --probe-name geode-health

3. Create Multiple VMs:

for i in {1..3}; do
  az vm create \
    --resource-group geode-rg \
    --name geode-vm-0$i \
    --availability-set geode-avset \
    --image Ubuntu2204 \
    --size Standard_E8s_v5 \
    --vnet-name geode-vnet \
    --subnet geode-subnet \
    --nsg geode-nsg \
    --storage-sku Premium_LRS \
    --os-disk-size-gb 128 \
    --data-disk-sizes-gb 512 \
    --admin-username azureuser \
    --ssh-key-values ~/.ssh/id_rsa.pub \
    --lb-name geode-lb \
    --backend-pool-name geode-backend
done

AKS Deployment

Kubernetes Manifests

Namespace and ConfigMap:

# namespace.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: geode
---
# configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: geode-config
  namespace: geode
data:
  geode.conf: |
    log_level = "info"
    data_dir = "/var/lib/geode"
    listen_addr = "0.0.0.0:3141"

StatefulSet with Azure Disk:

# statefulset.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: geode
  namespace: geode
spec:
  serviceName: geode
  replicas: 3
  selector:
    matchLabels:
      app: geode
  template:
    metadata:
      labels:
        app: geode
    spec:
      nodeSelector:
        workload: geode
      tolerations:
      - key: workload
        operator: Equal
        value: geode
        effect: NoSchedule
      containers:
      - name: geode
        image: geodedb/geode:latest
        ports:
        - containerPort: 3141
          protocol: UDP
          name: quic
        - containerPort: 8443
          protocol: TCP
          name: https
        env:
        - name: GEODE_DATA_DIR
          value: /var/lib/geode
        - name: GEODE_LOG_LEVEL
          value: info
        resources:
          requests:
            memory: "32Gi"
            cpu: "4"
          limits:
            memory: "64Gi"
            cpu: "8"
        volumeMounts:
        - name: data
          mountPath: /var/lib/geode
        - name: config
          mountPath: /etc/geode
        livenessProbe:
          httpGet:
            path: /health
            port: 8443
            scheme: HTTPS
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: 8443
            scheme: HTTPS
          initialDelaySeconds: 10
          periodSeconds: 5
      volumes:
      - name: config
        configMap:
          name: geode-config
  volumeClaimTemplates:
  - metadata:
      name: data
    spec:
      accessModes: [ "ReadWriteOnce" ]
      storageClassName: managed-premium
      resources:
        requests:
          storage: 512Gi

Service (Internal Load Balancer):

# service.yaml
apiVersion: v1
kind: Service
metadata:
  name: geode
  namespace: geode
  annotations:
    service.beta.kubernetes.io/azure-load-balancer-internal: "true"
spec:
  type: LoadBalancer
  selector:
    app: geode
  ports:
  - name: quic
    port: 3141
    protocol: UDP
  - name: https
    port: 8443
    protocol: TCP

HorizontalPodAutoscaler:

# hpa.yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: geode
  namespace: geode
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: StatefulSet
    name: geode
  minReplicas: 3
  maxReplicas: 12
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80

Deploy to AKS:

# Get AKS credentials
az aks get-credentials \
  --resource-group geode-rg \
  --name geode-cluster

# Apply manifests
kubectl apply -f namespace.yaml
kubectl apply -f configmap.yaml
kubectl apply -f statefulset.yaml
kubectl apply -f service.yaml
kubectl apply -f hpa.yaml

# Verify deployment
kubectl get pods -n geode
kubectl get svc -n geode

Storage Options

Azure Managed Disks

Premium SSD (P-Series):

P30: 1 TB, 5000 IOPS, 200 MB/s
P40: 2 TB, 7500 IOPS, 250 MB/s
P50: 4 TB, 7500 IOPS, 250 MB/s
P60: 8 TB, 16000 IOPS, 500 MB/s

Best for production Geode workloads with predictable performance.

Premium SSD v2:

Configurable IOPS and throughput independent of size
Up to 64 TB per disk
Up to 80,000 IOPS and 1,200 MB/s per disk

Ideal for high-performance requirements.

Ultra Disk:

Up to 64 TB per disk
Up to 160,000 IOPS and 4,000 MB/s
Sub-millisecond latency

For extreme performance needs (financial services, real-time analytics).

Azure Files

SMB or NFS file shares for shared storage:

# Create storage account
az storage account create \
  --resource-group geode-rg \
  --name geodestorage \
  --sku Premium_LRS \
  --kind FileStorage

# Create file share
az storage share create \
  --account-name geodestorage \
  --name geode-backup \
  --quota 1024

Azure Blob Storage

For backups and long-term archival:

# Create storage account
az storage account create \
  --resource-group geode-rg \
  --name geodebackup \
  --sku Standard_LRS \
  --kind StorageV2 \
  --access-tier Hot

# Create container
az storage container create \
  --account-name geodebackup \
  --name geode-backups

Monitoring and Observability

Azure Monitor Integration

Enable Container Insights for AKS:

az aks enable-addons \
  --resource-group geode-rg \
  --name geode-cluster \
  --addons monitoring

Create Log Analytics Workspace:

az monitor log-analytics workspace create \
  --resource-group geode-rg \
  --workspace-name geode-logs \
  --location eastus

Custom Metrics:

# Install Azure Monitor Agent on VM
az vm extension set \
  --resource-group geode-rg \
  --vm-name geode-vm-01 \
  --name AzureMonitorLinuxAgent \
  --publisher Microsoft.Azure.Monitor

KQL Queries for Geode:

// Query latency percentiles
ContainerLog
| where ContainerName contains "geode"
| where LogEntry contains "query_duration"
| extend Duration = extract("duration=([0-9.]+)", 1, LogEntry)
| summarize
    p50=percentile(todouble(Duration), 50),
    p95=percentile(todouble(Duration), 95),
    p99=percentile(todouble(Duration), 99)
  by bin(TimeGenerated, 5m)

// Connection count
ContainerLog
| where ContainerName contains "geode"
| where LogEntry contains "connection_count"
| extend Count = extract("count=([0-9]+)", 1, LogEntry)
| summarize avg(toint(Count)) by bin(TimeGenerated, 1m)

Application Insights

Instrument Geode clients with Application Insights:

# Python client with App Insights
from azure.monitor.opentelemetry import configure_azure_monitor
import geode_client

configure_azure_monitor(
    connection_string="InstrumentationKey=..."
)

client = geode_client.open_database()

async with client.connection() as conn:
    result, _ = await conn.query("MATCH (u:User) RETURN COUNT(u)")

Metrics Dashboards

Create Azure Dashboard for Geode metrics:

az portal dashboard create \
  --resource-group geode-rg \
  --name geode-dashboard \
  --input-path dashboard.json

Security

Azure Active Directory Integration

Managed Identity for AKS:

# Enable managed identity
az aks update \
  --resource-group geode-rg \
  --name geode-cluster \
  --enable-managed-identity

# Grant Key Vault access
az keyvault set-policy \
  --name geode-keyvault \
  --object-id $(az aks show -g geode-rg -n geode-cluster \
    --query identityProfile.kubeletidentity.objectId -o tsv) \
  --secret-permissions get list

Azure Key Vault

Store TLS certificates and secrets:

# Create Key Vault
az keyvault create \
  --resource-group geode-rg \
  --name geode-keyvault \
  --location eastus

# Store TLS certificate
az keyvault certificate import \
  --vault-name geode-keyvault \
  --name geode-tls-cert \
  --file geode-cert.pfx

# Store database password
az keyvault secret set \
  --vault-name geode-keyvault \
  --name geode-admin-password \
  --value "SecurePassword123!"

Access from Kubernetes:

# Use CSI driver for secrets
apiVersion: v1
kind: SecretProviderClass
metadata:
  name: geode-secrets
  namespace: geode
spec:
  provider: azure
  parameters:
    keyvaultName: geode-keyvault
    objects: |
      array:
        - |
          objectName: geode-tls-cert
          objectType: secret
        - |
          objectName: geode-admin-password
          objectType: secret      
    tenantId: "YOUR_TENANT_ID"

Network Security

Private Endpoints:

# Create private endpoint for storage
az network private-endpoint create \
  --resource-group geode-rg \
  --name geode-storage-pe \
  --vnet-name geode-vnet \
  --subnet geode-subnet \
  --private-connection-resource-id $(az storage account show \
    -g geode-rg -n geodestorage --query id -o tsv) \
  --group-id file \
  --connection-name geode-storage-connection

Azure Firewall:

# Create firewall
az network firewall create \
  --resource-group geode-rg \
  --name geode-firewall \
  --location eastus

# Create application rules
az network firewall application-rule create \
  --firewall-name geode-firewall \
  --resource-group geode-rg \
  --collection-name geode-rules \
  --name AllowGeode \
  --protocols Https=8443 \
  --source-addresses 10.0.0.0/16 \
  --target-fqdns geode.example.com \
  --priority 100 \
  --action Allow

Backup and Disaster Recovery

Azure Backup

VM Backup:

# Create Recovery Services vault
az backup vault create \
  --resource-group geode-rg \
  --name geode-backup-vault \
  --location eastus

# Enable backup for VM
az backup protection enable-for-vm \
  --resource-group geode-rg \
  --vault-name geode-backup-vault \
  --vm geode-vm-01 \
  --policy-name DefaultPolicy

Geo-Redundant Backup

# Backup to Blob Storage with GRS
az storage account create \
  --resource-group geode-rg \
  --name geodebackupgrs \
  --sku Standard_GRS \
  --location eastus

# Automated backup script
#!/bin/bash
DATE=$(date +%Y%m%d-%H%M%S)
docker exec geode geode backup --output /tmp/backup-$DATE.tar.gz
az storage blob upload \
  --account-name geodebackupgrs \
  --container-name backups \
  --name backup-$DATE.tar.gz \
  --file /tmp/backup-$DATE.tar.gz

Cost Optimization

Reserved Instances

Save up to 72% with 3-year reservations:

# Purchase VM reservation
az reservations reservation-order purchase \
  --reservation-order-id ORDER_ID \
  --sku Standard_E8s_v5 \
  --location eastus \
  --quantity 3 \
  --term P3Y

Spot Instances for Development

# Create spot VM (up to 90% savings)
az vm create \
  --resource-group geode-dev-rg \
  --name geode-dev-spot \
  --priority Spot \
  --max-price -1 \
  --eviction-policy Deallocate \
  --size Standard_D4s_v5 \
  --image Ubuntu2204

Auto-Shutdown

# Schedule VM shutdown
az vm auto-shutdown \
  --resource-group geode-rg \
  --name geode-dev-vm \
  --time 1900 \
  --timezone "Pacific Standard Time"

Storage Tiering

# Move old backups to Cool tier
az storage blob set-tier \
  --account-name geodebackup \
  --container-name backups \
  --name old-backup.tar.gz \
  --tier Cool

Cloud : General cloud deployment strategies
AWS : Amazon Web Services deployment
GCP : Google Cloud Platform deployment
Kubernetes : Kubernetes orchestration
Docker : Container deployment
Monitoring : Monitoring and observability
Security : Security best practices
High Availability : HA architecture

Conclusion

Microsoft Azure provides a comprehensive platform for deploying Geode graph database at any scale. From simple VM deployments to sophisticated AKS clusters with auto-scaling, Azure’s managed services, global infrastructure, and deep integration with Microsoft ecosystem make it an excellent choice for enterprise Geode deployments.

Key advantages of Azure for Geode:

Enterprise-grade managed services (AKS, Storage, Monitor)
Hybrid cloud capabilities with Azure Arc
Deep integration with Microsoft 365 and Active Directory
Comprehensive compliance certifications
Global network with 60+ regions

Popular

Microsoft Azure Deployment - Geode Graph Database

Geode on Microsoft Azure

Azure Deployment Options

Azure Virtual Machines

Azure Kubernetes Service (AKS)

Azure Container Instances (ACI)

VM Deployment Guide

Single-Instance Deployment

High-Availability Deployment

AKS Deployment

Kubernetes Manifests

Storage Options

Azure Managed Disks

Azure Files

Azure Blob Storage

Monitoring and Observability

Azure Monitor Integration

Application Insights

Metrics Dashboards

Security

Azure Active Directory Integration

Azure Key Vault

Network Security

Backup and Disaster Recovery

Azure Backup

Geo-Redundant Backup

Cost Optimization

Reserved Instances

Spot Instances for Development

Auto-Shutdown

Storage Tiering

Further Reading

Conclusion

Related Articles

Geode on Microsoft Azure Share link

Azure Deployment Options Share link

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AKS Deployment Share link

Kubernetes Manifests Share link

Storage Options Share link

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Azure Files Share link

Azure Blob Storage Share link

Monitoring and Observability Share link

Azure Monitor Integration Share link

Application Insights Share link

Metrics Dashboards Share link

Security Share link

Azure Active Directory Integration Share link

Azure Key Vault Share link

Network Security Share link

Backup and Disaster Recovery Share link

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Reserved Instances Share link

Spot Instances for Development Share link

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Storage Tiering Share link

Related Topics Share link

Further Reading Share link

Conclusion Share link

Related Articles

Geode on Microsoft Azure

Azure Deployment Options

Azure Virtual Machines

Azure Kubernetes Service (AKS)

Azure Container Instances (ACI)

VM Deployment Guide

Single-Instance Deployment

High-Availability Deployment

AKS Deployment

Kubernetes Manifests

Storage Options

Azure Managed Disks

Azure Files

Azure Blob Storage

Monitoring and Observability

Azure Monitor Integration

Application Insights

Metrics Dashboards

Security

Azure Active Directory Integration

Azure Key Vault

Network Security

Backup and Disaster Recovery

Azure Backup

Geo-Redundant Backup

Cost Optimization

Reserved Instances

Spot Instances for Development

Auto-Shutdown

Storage Tiering

Related Topics

Further Reading

Conclusion