Implementation Blueprint

Prerequisites

sudo apt update && sudo apt upgrade -y
sudo apt install docker.io docker-compose -y
sudo systemctl enable docker
sudo systemctl start docker

Docker Compose Production Setup (Single Node Cluster)

version: '3.8'

services:
  zero:
    image: dgraph/dgraph:latest
    container_name: zero
    volumes:
      - dgraph_data:/dgraph
    ports:
      - "5080:5080"
      - "6080:6080"
    command: dgraph zero --my=zero:5080
    restart: always

  alpha:
    image: dgraph/dgraph:latest
    container_name: alpha
    volumes:
      - dgraph_data:/dgraph
    ports:
      - "8080:8080"
      - "9080:9080"
    command: dgraph alpha --my=alpha:7080 --zero=zero:5080
    depends_on:
      - zero
    restart: always

  ratel:
    image: dgraph/ratel:latest
    container_name: ratel
    ports:
      - "8000:8000"
    restart: always

volumes:
  dgraph_data:

Kubernetes Production Deployment (Recommended)

helm repo add dgraph https://charts.dgraph.io
helm install my-release dgraph/dgraph --namespace database --create-namespace

• High Availability: Automatically runs multiple Zero and Alpha nodes for fault tolerance.
• Scalable Storage: Uses Kubernetes StatefulSets and PersistentVolumeClaims for reliable data management.
• Auto-sharding: Dgraph Zero handles the distribution of shards across your Alpha pods automatically.

Scaling & Performance

• Add More Alphas: To handle more concurrent queries or larger datasets, simply increase your Alpha pod count.
• CPU Isolation: In extreme latency environments, use Kubernetes CPU limits to ensure Alpha pods have dedicated cores.
• Memory Management: Monitor the lru_cache metrics to ensure your Alphas have enough RAM for your active working set.

Backup & Disaster Recovery

• Dgraph Snapshots: Use the /export endpoint to create a consistent, portable JSON/RDF export of your entire graph.
• Point-in-Time Recovery: Dgraph Enterprise supports incremental backups for granular recovery.
• Volume Snapshots: Regularly snapshot your cloud persistent volumes as a baseline for full cluster recovery.