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

version: '3.8'

services:
  grist:
    image: gristlabs/grist:latest
    container_name: grist
    ports:
      - "8484:8484"
    environment:
      - GRIST_SINGLE_ORG=true
      - APP_HOME_URL=http://localhost:8484
      - GRIST_SESSION_SECRET=aRealStrongSecretForProduction
      - GRIST_DEFAULT_EMAIL=admin@example.com
    volumes:
      - grist_data:/persist
    restart: always

volumes:
  grist_data:

Kubernetes Production Deployment (Recommended)

# Deploy using a deployment and service
kubectl create deployment grist --image=gristlabs/grist:latest
kubectl expose deployment grist --port=8484

• Scalable Document Engine: Handle hundreds of concurrent users across multiple organization-wide documents.
• Durable Persistence: Use Kubernetes PersistentVolumeClaims to ensure that SQLite files are backed up and resilient.
• Integrated Auth: Use OIDC or SAML for secure, enterprise-level authentication.

Scaling & Performance

• PostgreSQL Backend: For large-scale multi-user environments, always connect Grist to an external PostgreSQL instance to manage metadata.
• VRAM Allocation: Grist uses sandboxed Python processors for formulas; ensure your host has enough memory to handle concurrent calculations across many documents.
• CDN Caching: Use a CDN to serve Grist's static assets (JS/CSS) to improve loading times globally.

Backup & Durability

• SQLite Backups: Regularly backup the .grist files in your persistence directory.
• Auto-backup to S3: Configure GRIST_BACKUP_S3_BUCKET to automatically push document snapshots to the cloud.
• Version History: Grist natively supports document snapshots; use the built-in UI to revert to previous states if data is accidentally deleted.

Security Best Practices

• Enable OIDC: Integrate with your existing identity provider (Auth0, Okta, or Keycloak) for secure login.
• Sandbox Python: Grist runs Python formulas in a secure sandbox; ensured the host kernel supports the necessary isolation features.
• HTTPS Enforcement: Always run Grist behind a secure reverse proxy to encrypt data in transit.