DEPLOYMENT_SUMMARY.md

Prowler API Render Deployment - Summary

What Was Done

Three key files were created/modified to enable Render deployment:

1. ✅ Fixed api/Dockerfile

Location: /api/Dockerfile

Change: Added dummy AWS credentials before poetry install to prevent import-time errors:

ENV AWS_ACCESS_KEY_ID=dummy_build_key \
    AWS_SECRET_ACCESS_KEY=dummy_build_secret \
    AWS_DEFAULT_REGION=us-east-1

Why: Prowler's AWS provider imports boto3 modules that look for credentials. These dummy values prevent build failures.

2. ✅ Created render.yaml

Location: /render.yaml (repo root)

What: Blueprint defining 5 services:

• prowler-api - Web service (Django REST API)
• prowler-worker - Background worker (Celery)
• prowler-beat - Scheduler (Celery Beat)
• prowler-db - PostgreSQL database
• prowler-redis - Redis cache/queue

Why: Automates deployment - just push to GitHub and connect to Render.

3. ✅ Created RENDER_DEPLOYMENT.md

Location: /RENDER_DEPLOYMENT.md (repo root)

What: Complete deployment guide including:

• Step-by-step deployment instructions
• All environment variables with generation commands
• Complete API usage guide with cURL examples
• Multi-tenant workflow explanation
• Troubleshooting section

---

Quick Start - Deploy to Render

1. Commit Changes

git add api/Dockerfile render.yaml RENDER_DEPLOYMENT.md
git commit -m "feat: add Render deployment configuration"
git push origin main

2. Deploy on Render

1. Go to https://dashboard.render.com
2. Click New → Blueprint
3. Connect your GitHub repo
4. Select the prowler repository
5. Click Apply

3. Wait for Build (~10-15 min)

Render will:

• Build the Docker image
• Create PostgreSQL database
• Create Redis instance
• Deploy 3 services (API, worker, beat)

4. Initialize Database

Once deployed, open Shell for prowler-api:

poetry run python manage.py migrate --database admin
poetry run python manage.py createsuperuser --database admin

5. Test API

Visit: https://prowler-api-XXXX.onrender.com/api/v1/docs

---

How Your App Will Use It

Flow

Your App → Prowler API → Celery Queue → Worker → Prowler CLI → AWS
                  ↓
            PostgreSQL (Results)
                  ↓
Your App ← GET /api/v1/findings

Example Integration

// 1. Create organization
const createOrg = async (orgName) => {
  const response = await fetch('https://prowler-api-XXXX.onrender.com/api/v1/tenants', {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${token}`,
      'Content-Type': 'application/vnd.api+json'
    },
    body: JSON.stringify({
      data: {
        type: 'tenants',
        attributes: { name: orgName }
      }
    })
  });
  return await response.json();
};

// 2. Add AWS credentials for org
const addAWSProvider = async (tenantId, awsAccessKey, awsSecretKey) => {
  const response = await fetch('https://prowler-api-XXXX.onrender.com/api/v1/providers', {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${token}`,
      'X-Tenant-ID': tenantId,
      'Content-Type': 'application/vnd.api+json'
    },
    body: JSON.stringify({
      data: {
        type: 'providers',
        attributes: {
          provider: 'aws',
          secret: {
            aws_access_key_id: awsAccessKey,
            aws_secret_access_key: awsSecretKey
          }
        }
      }
    })
  });
  return await response.json();
};

// 3. Trigger scan
const triggerScan = async (tenantId, providerId) => {
  const response = await fetch('https://prowler-api-XXXX.onrender.com/api/v1/scans', {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${token}`,
      'X-Tenant-ID': tenantId,
      'Content-Type': 'application/vnd.api+json'
    },
    body: JSON.stringify({
      data: {
        type: 'scans',
        attributes: {
          provider: providerId
        }
      }
    })
  });
  return await response.json();
};

// 4. Poll for results
const checkScanStatus = async (tenantId, taskId) => {
  const response = await fetch(
    `https://prowler-api-XXXX.onrender.com/api/v1/tasks/${taskId}`,
    {
      headers: {
        'Authorization': `Bearer ${token}`,
        'X-Tenant-ID': tenantId
      }
    }
  );
  return await response.json();
};

// 5. Get findings
const getFindings = async (tenantId, scanId) => {
  const response = await fetch(
    `https://prowler-api-XXXX.onrender.com/api/v1/findings?filter[scan]=${scanId}`,
    {
      headers: {
        'Authorization': `Bearer ${token}`,
        'X-Tenant-ID': tenantId
      }
    }
  );
  return await response.json();
};

---

Key Features

✅ Multi-tenant - Each organization has isolated data and credentials ✅ Async Scans - Scans run in background via Celery ✅ Encrypted Credentials - AWS keys encrypted at rest using Fernet ✅ Auto-scaling - Add more workers as needed ✅ REST API - Standard JSON:API format ✅ Production Ready - Includes migrations, health checks, monitoring

---

Important Notes

1. Credentials Storage: AWS credentials are encrypted in PostgreSQL, never in code or environment variables
2. Tenant Isolation: Each API call requires X-Tenant-ID header for data isolation
3. JWT Auth: All requests need Bearer token (except login/register)
4. Async Processing: Scans can take 5-30 minutes depending on AWS account size
5. Worker Required: The prowler-worker service MUST be running for scans to process

---

Next Steps

1. Deploy using the instructions above
2. Test with cURL examples in RENDER_DEPLOYMENT.md
3. Integrate with your external app using the example code above
4. Monitor logs in Render dashboard
5. Scale workers as needed for performance

For detailed information, see RENDER_DEPLOYMENT.md.