Cloud Infrastructure Setup for Startup
Published on May 10, 2024
Overview
A SaaS startup approached us with an urgent problem: their manually configured cloud servers were costing $4,000/month, were prone to outages during peak traffic, and had no disaster recovery plan. They needed a professional, scalable infrastructure before their Series A fundraise.
Assessment
We started with a 2-week assessment covering:
- Current architecture review: Identified 6 underutilized VMs running at < 15% CPU average
- Cost analysis: Found $1,800/month in waste from over-provisioned resources
- Risk analysis: Single points of failure in database and load balancer layers
- Compliance gaps: No automated backups, no monitoring, no alerting
Our Solution
Infrastructure Design
We designed a new architecture using Infrastructure as Code (IaC) with OpenTofu:
┌─────────────────────────────────────────────┐
│ Cloudflare CDN │
└──────────────────┬──────────────────────────┘
│
┌──────────────────▼──────────────────────────┐
│ Load Balancer (DigitalOcean) │
└────────┬──────────────────────┬─────────────┘
│ │
┌────────▼────────┐ ┌─────────▼───────────┐
│ App Server 1 │ │ App Server 2 │
│ (Auto-scaled) │ │ (Auto-scaled) │
└────────┬────────┘ └─────────┬───────────┘
└──────────┬───────────┘
│
┌───────────────────▼──────────────────────────┐
│ Managed PostgreSQL (HA Cluster) │
│ Primary + 1 Standby Replica │
└──────────────────────────────────────────────┘
Key Changes
- Right-sized compute: Replaced 6 VMs with 2 auto-scaling droplets — handles 3x the traffic at half the cost
- Managed database: Migrated from self-managed PostgreSQL to DigitalOcean Managed PostgreSQL with automatic failover
- CDN & caching: Added Cloudflare CDN to cache static assets, reducing origin load by 60%
- Automated backups: Daily database snapshots with 14-day retention; weekly infrastructure snapshots
- Monitoring stack: Prometheus + Grafana for metrics, PagerDuty for on-call alerting
IaC with OpenTofu
All infrastructure is defined as code, enabling:
- Reproducible environments (staging mirrors production exactly)
- Infrastructure changes reviewed via pull requests
- One-command disaster recovery to a new region
Results
| Metric | Before | After | |--------|--------|-------| | Monthly Cost | $4,000 | $2,350 | | Uptime (30-day) | 97.2% | 99.95% | | Avg. Response Time | 850ms | 210ms | | Deployment Time | Manual (2 hrs) | Automated (8 min) | | Recovery Time Objective | Unknown | < 15 minutes |
Cost reduction: 41% — saving $19,800 per year.
Outcome
The client successfully closed their Series A round. The investor due diligence team specifically noted the professional infrastructure setup as a confidence factor. The startup has since scaled to 3x users with no additional infrastructure changes needed.