Deployment Guides: Docker, Kubernetes, and Cloud

This document provides actionable instructions for deploying InnoSynth-Forjinn in single node, production, and enterprise environments—including Docker, Kubernetes, and all major cloud platforms. Use these guides to ensure your stack is stable, secure, scalable, and recoverable.

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1. Docker Deployment (Recommended for Evaluation, Small Teams)

Prerequisites

• Docker Engine and Docker Compose
• Default images are built from GitHub repository or official Docker Hub image.

Steps

1. Clone the repository:

   git clone https://github.com/innosynth/InnoSynth-Forjinn.git
   cd InnoSynth-Forjinn
   

2. Copy/adjust environment files:

   cp docker/.env.example docker/.env
   # edit secrets/configs as needed
   

3. Start services:

   docker-compose -f docker/docker-compose.yml up -d
   

4. Access the platform at http://localhost:3000.

Persistent Storage

• Mount data volumes for uploads, configs, and DB if using Postgres or other external DB.
• Example:

  volumes:
    - ./data:/app/data
    - ./logs:/app/logs
  

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2. Kubernetes (K8s) Deployment (Scale, High-Availability)

Prerequisites

• A working K8s cluster (EKS, GKE, AKS, on-prem)
• kubectl + Helm (for charts)
• StorageClass configured (PersistentVolumes for data)

Deploy with Helm

1. Install Helm and add the platform chart repository (if available).
2. Create your custom values.yaml for secrets, envs, scaling.
3. Deploy:

   helm install forjinn ./charts/forjinn -f my-values.yaml
   

4. Use Ingress or LoadBalancer for public endpoints.

Environment Configuration

• Pass all config via secrets/configmaps (see env.example)
• Mount volumes for persistent data
• For distributed/worker pattern, scale worker pods separately

Key Best Practices

• Use managed DB and object storage for scale
• Enable healthchecks and autoscaling
• Deploy with TLS/Ingress for all endpoints
• Monitor with Prometheus, log to centralized sink
• Use rolling upgrades with helm upgrade

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3. Cloud Guides

AWS

• ECR for images, ECS/EKS for orchestration, S3 for storage, RDS for DB.
• Use SSM or Secrets Manager for sensitive config.

Azure

• AKS or Azure App Service for runtime, Blob Storage, Azure Postgres.
• Managed Identity for secure access.

GCP

• GKE for k8s, Cloud Run for serverless jobs, Cloud Storage for files, CloudSQL for DB.

Common Cloud Patterns

• Use platform’s cloud provider-native networking, secrets, and backup tools.
• Review quotas/resource caps before scale-up.

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Upgrade/Migration

• Stop old containers/pods, back up persistent data, pull new image/tag.
• For zero downtime, use Blue/Green or rolling upgrade strategies.
• Back up DB before major version updates.

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Troubleshooting & Recovery

• Use provided diagnostic endpoints (/status, /health).
• Access logs via Docker logs, kubectl, or cloud provider tools.
• If pods/services won't start, review ENV, secrets, and persistent volume configs.

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Load Balancing & Scaling

• In K8s, use HPA (Horizontal Pod Autoscaler) and LoadBalancer Ingress.
• In Docker, use Swarm or external LB (e.g., Nginx, Traefik).

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Security Considerations

• Never commit production secrets to git; use container secrets managers.
• Limit access to admin UI, API, and sensitive endpoints via firewall or VPN.
• Turn on HTTPS for all public endpoints, especially for API/webhooks.

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Backup & Disaster Recovery

• Schedule regular DB and filesystem (uploads, artifacts) backups
• Test restore processes quarterly
• Document and automate failover procedures

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Proper infrastructure design ensures Forjinn is ready for both continuous delivery and mission-critical use—choose the model that fits your team's needs and always test in a safe environment before going live.