Production Deployment
This section covers everything you need to deploy AutoCom in a production environment with optimized configurations for performance, scalability, and reliability.
Overview
AutoCom is designed to run efficiently in containerized environments with support for:
- Docker Compose - Single-server deployments
- Kubernetes - Scalable, orchestrated deployments
- Horizontal Pod Autoscaling - Automatic scaling based on load
Architecture
┌─────────────────────────────────────────────────────────────────┐
│ Production Environment │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Nginx │ │ Frontend │ │ Docs │ │
│ │ Proxy │ │ Next.js │ │ Next.js │ │
│ │ :80/:443 │ │ :3000 │ │ :3001 │ │
│ └──────┬──────┘ └─────────────┘ └─────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Laravel API │ │ Horizon │ │ AI Agent │ │
│ │ Octane + │ │ Queue │ │ PydanticAI │ │
│ │ FrankenPHP │ │ Worker │ │ :8100 │ │
│ │ :8000 │ │ │ │ │ │
│ └──────┬──────┘ └──────┬──────┘ └─────────────┘ │
│ │ │ │
│ ▼ ▼ │
│ ┌──────────────────┐ ┌─────────────┐ ┌─────────┐ │
│ │ CloudNativePG │ │ Redis │ │ MinIO │ │
│ │ Primary + 2 │ │ :6379 │ │ Backups │ │
│ │ Read Replicas │ │ │ │ :9000 │ │
│ └──────────────────┘ └─────────────┘ └─────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
Key Components
| Component | Description | Technology |
|---|---|---|
| Nginx | Reverse proxy, CORS, gzip | nginx:alpine |
| API | Laravel API with Octane | FrankenPHP + Laravel 11 |
| Frontend | React web application | Next.js 13.5 |
| Queue Worker | Background job processing | Laravel Horizon |
| Database | Primary + 2 read replicas | CloudNativePG (PostgreSQL 16) |
| Cache/Queue | Caching, sessions, queues | Redis 7 |
| AI Agent | Multi-tenant AI orchestration | PydanticAI (Python) |
| Backups | Automated DB backups | MinIO (S3-compatible) |
Documentation Sections
Laravel Octane — recommended
Octane + FrankenPHP deployment — 17x throughput improvement, multi-tenant safety, trade-offs.
Performance & Load Testing
Benchmark results (27→456 req/s), k6 load testing, response caching, optimization checklist.
Backup & Recovery
Automated PostgreSQL backups with CloudNativePG + MinIO, point-in-time recovery.
GitLab CI/CD
Split monorepo mirroring, CI pipelines for all modules, status dashboard.
Docker Production
Configure and deploy AutoCom using Docker Compose with production-optimized settings.
Kubernetes Deployment
Deploy to Kubernetes with Horizontal Pod Autoscaling and high availability.
Autoscaling
Configure automatic scaling based on CPU and memory metrics.
PHP Optimization
PHP-FPM and OPcache configuration (superseded by Octane for production).
Quick Start
Docker Compose (Recommended for Single Server)
# Build production images
docker compose -f docker-compose.prod.yml build
# Start all services
docker compose -f docker-compose.prod.yml up -d
# Run migrations
docker compose exec app php artisan migrate --force
# Create first user via installer
# Visit http://localhost:3000/install
Kubernetes (Recommended for Scalable Deployments)
# Render and apply the unified overlay
kubectl apply -k k8s/overlays/default
# Check status
kubectl -n autocom-k8s get pods
For single-node k3s on a VPS, a phased runbook lives at
bin/vps-deploy/.
Performance (Benchmarked)
With Octane + CloudNativePG, AutoCom achieves:
| Metric | PHP-FPM (baseline) | Octane + CloudNativePG | Test |
|---|---|---|---|
| Throughput | 27 req/s | 456 req/s | 500 concurrent users |
| p50 response | 343ms | 122ms | k6 stress test |
| p95 response | 2.44s | 1.43s | k6 stress test |
| Max concurrent users | ~50 | 500+ | Zero errors |
| Scale up time | N/A | 30 seconds | HPA 1→5 pods |
See Performance & Load Testing for full details.
Security Considerations
Production deployments should include:
- TLS/SSL certificates (via cert-manager or similar)
- Network policies to restrict pod-to-pod communication
- Secrets management (Kubernetes Secrets or external vault)
- Regular security updates for base images
Next Steps
- Laravel Octane — Set up FrankenPHP for 5-10x throughput
- Docker Production — Start with Docker Compose for simple deploys
- Kubernetes — Scale with K8s + HPA autoscaling
- Backup & Recovery — Automated backups with PITR
- GitLab CI/CD — Set up pipelines and split repos
- Performance — Run load tests and optimize