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Production Deployment: Advanced Deployment Scenarios

Production Deployment: Advanced Deployment Scenarios

Part of: Production Deployment Guide


10.1 Hybrid Cloud Deployment

HeliosDB supports hybrid cloud deployments, allowing you to run workloads across on-premise infrastructure and public cloud providers simultaneously.

Architecture:

┌──────────────────────────────────────────────────────────────┐
│ Hybrid Cloud Topology │
├──────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────────┐ ┌─────────────────┐ │
│ │ On-Premise DC │◄────VPN─────►│ AWS Cloud │ │
│ │ │ │ │ │
│ │ Metadata (3) │ │ Compute (5) │ │
│ │ Storage (10) │ │ Storage (5) │ │
│ └─────────────────┘ └─────────────────┘ │
│ ▲ ▲ │
│ │ │ │
│ └────────Global Load Balancer────┘ │
│ │
└──────────────────────────────────────────────────────────────┘

Configuration:

[deployment.hybrid]
enabled = true
topology = "multi-cloud"
[deployment.hybrid.on_premise]
enabled = true
region = "dc-east-1"
metadata_nodes = 3
storage_nodes = 10
data_residency_rules = ["pii", "financial"]
[deployment.hybrid.aws]
enabled = true
region = "us-east-1"
compute_nodes = 5
storage_nodes = 5
workload_types = ["analytics", "ml"]
[deployment.hybrid.network]
vpn_type = "ipsec"
bandwidth_limit_mbps = 10000
encryption = "aes-256"
compression = true

VPN Setup:

Terminal window
# AWS VPN Connection
aws ec2 create-vpn-connection \
--type ipsec.1 \
--customer-gateway-id cgw-xxx \
--vpn-gateway-id vgw-xxx \
--options TunnelOptions=[{TunnelInsideCidr=169.254.10.0/30,PreSharedKey=xxx}]
# Download VPN configuration
aws ec2 describe-vpn-connections \
--vpn-connection-ids vpn-xxx \
--output text > vpn-config.txt

10.2 Air-Gapped Environment

For highly secure environments that require complete isolation from the internet:

Preparation:

Terminal window
# Create offline package bundle
heliosdb-cli package create-offline \
--version 6.0.0 \
--include-dependencies \
--include-images \
--output heliosdb-offline-6.0.0.tar.gz
# Transfer to air-gapped environment (USB, dedicated transfer network, etc.)
# On air-gapped system, extract and install
tar xzf heliosdb-offline-6.0.0.tar.gz
cd heliosdb-offline-6.0.0
./install.sh --offline-mode

Registry Setup:

Terminal window
# Set up local Docker registry
docker run -d -p 5000:5000 \
--restart=always \
--name registry \
-v /mnt/registry:/var/lib/registry \
registry:2
# Load images
docker load < heliosdb-images.tar
# Tag and push to local registry
docker tag heliosdb/heliosdb:6.0.0 localhost:5000/heliosdb:6.0.0
docker push localhost:5000/heliosdb:6.0.0
# Update Kubernetes to use local registry
kubectl set image deployment/heliosdb-compute \
compute=localhost:5000/heliosdb:6.0.0 -n heliosdb

Package Repository:

Terminal window
# Create local APT repository (Debian/Ubuntu)
mkdir -p /opt/heliosdb-repo
cp *.deb /opt/heliosdb-repo/
cd /opt/heliosdb-repo
dpkg-scanpackages . /dev/null | gzip -9c > Packages.gz
# Configure APT
cat > /etc/apt/sources.list.d/heliosdb.list <<EOF
deb [trusted=yes] file:/opt/heliosdb-repo ./
EOF
apt update
apt install heliosdb

10.3 Multi-Tenancy Deployment

HeliosDB provides world-class multi-tenancy with complete isolation:

Tenant Isolation Levels:

  1. Shared: Multiple tenants share resources (cost-effective)
  2. Isolated: Logical isolation with dedicated resources
  3. Strict: Physical isolation with separate hardware

Configuration:

[multi_tenancy]
enabled = true
isolation_level = "strict"
max_tenants = 1000
[multi_tenancy.tenant.acme_corp]
tenant_id = "tenant-001"
isolation_level = "strict"
dedicated_nodes = ["storage-10", "storage-11", "storage-12"]
storage_quota_gb = 500
compute_quota_cores = 16
memory_quota_gb = 64
max_connections = 100
replication_factor = 3
backup_enabled = true
backup_retention_days = 90
[multi_tenancy.tenant.beta_inc]
tenant_id = "tenant-002"
isolation_level = "isolated"
storage_quota_gb = 100
compute_quota_cores = 4
memory_quota_gb = 16

Tenant Provisioning:

Terminal window
# Create new tenant
heliosdb-cli tenant create \
--name acme-corp \
--isolation-level strict \
--storage-quota 500GB \
--compute-quota 16 \
--admin-user admin@acme.com \
--admin-password-stdin
# List tenants
heliosdb-cli tenant list
# Get tenant metrics
heliosdb-cli tenant metrics --tenant-id tenant-001
# Delete tenant (with data retention period)
heliosdb-cli tenant delete \
--tenant-id tenant-001 \
--retention-days 30 \
--backup-data

10.4 Edge Computing Deployment

Deploy HeliosDB at the edge for low-latency access:

Edge Node Configuration:

[edge]
enabled = true
mode = "edge-gateway" # Options: edge-gateway, edge-replica, edge-cache
[edge.gateway]
upstream_cluster = "heliosdb-central.example.com:5432"
local_cache_size_mb = 2048
sync_interval_sec = 30
conflict_resolution = "central-wins"
offline_mode = true
offline_max_duration_hours = 24
[edge.replication]
enabled = true
replication_lag_target_ms = 100
selective_replication = true
replication_filters = ["location = 'edge-1'", "priority = 'high'"]

Edge Deployment (ARM64/Raspberry Pi):

Terminal window
# Build for ARM64
docker buildx build \
--platform linux/arm64 \
--tag heliosdb/heliosdb:6.0.0-arm64 \
--push .
# Deploy to edge device
docker run -d \
--name heliosdb-edge \
--restart always \
-p 5432:5432 \
-v /data/heliosdb:/data \
-e EDGE_MODE=true \
-e UPSTREAM_CLUSTER=central.example.com:5432 \
heliosdb/heliosdb:6.0.0-arm64

10.5 Disaster Recovery Testing

Regular DR testing is critical for production readiness:

DR Test Plan:

#!/bin/bash
# dr-test.sh - Disaster Recovery Test Script
set -e
echo "Starting DR Test: $(date)"
# 1. Verify backup integrity
echo "Step 1: Verifying backup integrity..."
heliosdb-cli backup verify \
--backup s3://heliosdb-backups-prod/latest \
--checksum
# 2. Spin up DR environment
echo "Step 2: Creating DR environment..."
kubectl create namespace heliosdb-dr
# 3. Restore data
echo "Step 3: Restoring data..."
heliosdb-cli restore \
--backup s3://heliosdb-backups-prod/latest \
--namespace heliosdb-dr \
--verify
# 4. Verify data integrity
echo "Step 4: Verifying data integrity..."
heliosdb-cli test data-integrity \
--namespace heliosdb-dr \
--sample-rate 0.1
# 5. Performance testing
echo "Step 5: Running performance tests..."
heliosdb-cli test performance \
--namespace heliosdb-dr \
--duration 5m \
--rps 1000
# 6. Cleanup
echo "Step 6: Cleaning up DR environment..."
kubectl delete namespace heliosdb-dr
echo "DR Test Complete: $(date)"
echo "All tests passed successfully"

Chaos Engineering:

Terminal window
# Install Chaos Mesh
helm install chaos-mesh chaos-mesh/chaos-mesh \
--namespace chaos-testing \
--create-namespace
# Pod failure test
cat > pod-failure.yaml <<EOF
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: heliosdb-pod-failure
namespace: chaos-testing
spec:
action: pod-failure
mode: one
duration: "30s"
selector:
namespaces:
- heliosdb
labelSelectors:
component: storage
EOF
kubectl apply -f pod-failure.yaml
# Network latency test
cat > network-delay.yaml <<EOF
apiVersion: chaos-mesh.org/v1alpha1
kind: NetworkChaos
metadata:
name: heliosdb-network-delay
namespace: chaos-testing
spec:
action: delay
mode: all
selector:
namespaces:
- heliosdb
delay:
latency: "100ms"
correlation: "100"
jitter: "0ms"
duration: "5m"
EOF
kubectl apply -f network-delay.yaml

10.6 Blue-Green Deployment

Zero-downtime deployment strategy:

Deployment Process:

Terminal window
# 1. Deploy green environment
kubectl apply -f green-deployment.yaml
# 2. Wait for green to be ready
kubectl wait --for=condition=available \
deployment/heliosdb-compute-green -n heliosdb --timeout=300s
# 3. Run smoke tests
heliosdb-cli test smoke \
--endpoint heliosdb-compute-green:5432
# 4. Switch traffic to green
kubectl patch service heliosdb-compute -n heliosdb \
-p '{"spec":{"selector":{"version":"green"}}}'
# 5. Monitor for issues (5-10 minutes)
watch -n 5 'kubectl get pods -n heliosdb | grep green'
# 6. If successful, scale down blue
kubectl scale deployment/heliosdb-compute-blue -n heliosdb --replicas=0
# 7. If issues, rollback
kubectl patch service heliosdb-compute -n heliosdb \
-p '{"spec":{"selector":{"version":"blue"}}}'

10.7 Canary Deployment

Gradual rollout with traffic splitting using Istio.

10.8 Geographic Distribution

Optimize for global users with geo-distributed architecture using GeoDNS and cross-region optimization.