Scaling & Infrastructure

A practical scaling roadmap from first release to high-volume production systems, with infrastructure planned by stage.

We help teams prepare architecture, operations, monitoring, and cost controls before growth becomes a rewrite problem.

6 Scaling Phases

Roadmap from MVP to enterprise-scale infrastructure

Phase 1

Phase 1: Proof of Concept (MVP)

Users: < 1K users

Timeline: 0–3 months

Cost: $500–2K/month

Architecture

Monolithic + Simple DB

Start simple: single server, basic database, no complex infrastructure. Focus on product-market fit.

Tech Stack: Single instance (AWS EC2/GCP Compute) + RDS/Cloud SQL

Phase 2

Phase 2: Early Growth

Users: 1K – 50K users

Timeline: 3–6 months

Cost: $2K–5K/month

Architecture

Load Balanced + Read Replicas

Add horizontal scaling: load balancer, database read replicas, basic caching.

Tech Stack: Load Balancer + 2–3 backend instances + Master-Slave DB

Phase 3

Phase 3: Scaling Out

Users: 50K – 500K users

Timeline: 6–12 months

Cost: $5K–15K/month

Architecture

Microservices + Kubernetes

Microservices architecture, Kubernetes orchestration, Redis caching, CDN for static assets.

Tech Stack: K8s cluster + 5–10 service replicas + Redis + CDN

Phase 4

Phase 4: Multi-Region

Users: 500K – 5M users

Timeline: 12–18 months

Cost: $15K–50K/month

Architecture

Multi-region + Database Sharding

Deploy to multiple regions, database sharding by geography, global CDN, disaster recovery.

Tech Stack: 3+ regions, sharded DB, global failover, multi-cloud strategy

Phase 5

Phase 5: Hyper-Scale

Users: 5M – 100M users

Timeline: 18–24 months

Cost: $50K–200K/month

Architecture

Event-Driven + Data Warehouse

Event-driven architecture, real-time analytics, data warehouse (BigQuery), streaming pipelines.

Tech Stack: Message queues + Streaming + Data lake + Analytics

Phase 6

Phase 6: Enterprise Scale

Users: > 100M users

Timeline: 24+ months

Cost: $200K+/month

Architecture

Custom Infrastructure + Edge

Custom infrastructure, edge computing, custom databases, dedicated DevOps team.

Tech Stack: Global edge network + Custom DBs + Proprietary infra

Performance Benchmarks

Operating targets for availability, latency, deployment, and recovery.

Enterprise

Uptime SLA

High-availability SLA

Low

API Response Time

Low-latency P99

<3s

Page Load Time

On 3G network

>95

Lighthouse Score

Performance metric

Zero

Zero-downtime Deploy

Blue-green deployment

Continuous

SOC Monitoring

Real-time alerts

Fast

Auto-recovery Time

Failover automation

High

Database Availability

Multi-region replication

Plan Your Scaling Architecture

Hoàng Khang Incotech can help assess the current system, identify scaling risks, and define the next infrastructure stage.

Discuss Scaling Requirements arrow_forward