Local Deploy First

Publish on: Classify at:
Words: 553 Read:≈ 3min Views:
Summary
In today’s cloud-dominated development landscape, many teams rely heavily on integrated platforms like Supabase, AWS, and Vercel to accelerate deployment. While convenient, this approach introduces risks such as vendor lock-in, reduced control over data, and long-term cost unpredictability.

In today’s cloud-dominated development landscape, many teams rely heavily on integrated platforms like Supabase, AWS, and Vercel to accelerate deployment. While convenient, this approach introduces risks such as vendor lock-in, reduced control over data, and long-term cost unpredictability.

For systems like OPC—where stability, security, and full ownership are critical—it is both practical and strategic to build a fully self-controlled technology stack, minimizing dependency on third-party cloud providers.

1. Core Principle: Control Over Convenience

The foundation of this architecture is simple:

  • Own your data
  • Avoid vendor lock-in
  • Ensure infrastructure portability
  • Maintain offline-capable core services (especially AI)

This mindset prioritizes long-term sustainability over short-term speed.

2. Database Layer: Self-Hosted PostgreSQL (No Supabase)

Instead of relying on managed solutions like Supabase, deploy a self-hosted PostgreSQL instance.

Why:

  • Full control over data storage and backups
  • No dependency on third-party APIs
  • Flexible tuning for performance and scaling

  • Run PostgreSQL via Docker or on bare metal

  • Enable replication for redundancy

  • Use tools like:

    • pgBackRest (backups)
    • Patroni (high availability)
    • pgBouncer (connection pooling)

3. Compute Infrastructure: OVH Dedicated Servers (No AWS)

Avoid hyperscalers like AWS and instead use dedicated servers from OVHcloud.

Why:

  • Predictable fixed pricing
  • Full hardware control
  • Consistent performance
  • 1 server for database
  • 1+ servers for applications
  • Optional GPU server for AI

Use:

  • Proxmox / KVM for virtualization
  • Docker (optionally Kubernetes) for orchestration

4. CDN & Edge Layer: Cloudflare (No Vercel)

For global delivery, use Cloudflare instead of Vercel.

Why:

  • Global CDN with strong caching
  • Built-in DDoS protection
  • Integrated DNS, SSL, and WAF
  • Cache static assets
  • Use Workers for edge logic
  • Enable WAF and rate limiting

5. LLM Layer: Local Deployment (Gemma)

Instead of external APIs, deploy local LLMs using Gemma.

Why:

  • Full data privacy
  • No per-token costs
  • Offline capability
  • Runtime: llama.cpp or vLLM
  • Hardware: GPU preferred
  • Optional: FAISS for RAG

6. Deployment & Automation: Dokploy

To simplify operations while maintaining full control, use Dokploy for deployment automation.

Why:

  • Self-hosted alternative to platforms like Vercel or Heroku
  • Git-based CI/CD pipelines
  • Native Docker integration
  • Simple UI for managing services

  • Connect your Git repositories to Dokploy

  • Define services (PostgreSQL, backend, frontend, LLM) via Docker

  • Automate:

    • Build
    • Deployment
    • Rollbacks

Benefits:

  • Eliminates manual SSH deployments
  • Keeps full control (runs on your own OVH server)
  • Provides “platform-like” experience without vendor lock-in

7. Networking & Observability

  • WireGuard for secure internal networking

  • Firewall + SSH key-only access

  • Monitoring:

    • Prometheus + Grafana
    • Loki / ELK for logs

8. Trade-offs

Pros:

  • Full control
  • Predictable cost
  • No vendor lock-in

Cons:

  • Higher DevOps complexity
  • Requires in-house expertise
  • Slightly more setup compared to SaaS

9. Cost Comparison: Self-Hosted vs Cloud

Self-Hosted (OVH)

Using OVHcloud:

  • Cost: ~$10–$20/month

  • Specs:

    • Up to 64 GB RAM
    • Dedicated CPU & storage

👉 Everything included: DB, backend, deployment (Dokploy), and even AI workloads (depending on hardware)

Cloud Equivalent (AWS-style)

Using Amazon Web Services:

ComponentMonthly Cost
RDS (Postgres)$300–$800
EC2 (Compute)$200–$600
CDN / Edge$50–$200+
LLM API$100–$1000+
Deployment (CI/CD tools)$0–$100+
Total$650–$2700+

10. Final Takeaway

  • Self-hosted: ~$10–$20/month
  • Cloud: ~$650–$2700+/month

👉 30x–100x cost difference

By combining:

  • PostgreSQL (self-hosted)
  • OVHcloud infrastructure
  • Cloudflare for edge
  • Local LLMs like Gemma
  • Automated deployment via Dokploy

…you achieve a system that is:

  • Fully sovereign
  • Cost-efficient
  • Automated yet controlled
  • Independent from hyperscale cloud vendors

This is not just an alternative architecture—it is a deliberate shift toward engineering ownership and long-term resilience.