How Architecture Decisions Impact SaaS Profitability
Table of Contents
- The Engineering-Profitability Gap
- COGS: The Silent Margin Killer
- Serverless vs. Provisioned: The Real Math
- Multi-Region: Growth vs. Burn
- The FinOps Mentality for Engineers
- FAQ
Introduction
Great engineering isn't just about code that works; it's about code that makes business sense. An over-engineered system with 99.999% uptime might have such high cloud costs that the product can never be profitable.
Core Concepts: The COGS Analysis
Every architectural choice has a price tag:
- High-Frequency Polling: Increases DB load and egress costs.
- Monolithic DB: Easier to manage but expensive to scale vertically compared to horizontal sharding.
Architecture Breakdown: The Cost Matrix
| Decision | Impact on Margin | Best For |
|---|---|---|
| Serverless | Pay-per-user | Low/Variable traffic |
| Reserved Instances | Fixed overhead | Predictable, high volume |
| Multi-CDN | High egress efficiency | Global video/heavy assets |