The verdict in three sentences
Infra run for a B2B SaaS sits between 200 and 2,000 EUR/month in 2026 at early-to-mid stage, and weighs 5 to 15% of COGS depending on maturity. The good news: well architected, it scales in steps — you 10x your customers without 10x-ing your bill. The bad news: without FinOps or observability, it drifts silently and eats your margin before you even notice.
Infra items breakdown
Infra isn't a single line, it's a dozen items that add up. Here are the 2026 orders of magnitude for a SaaS of a few hundred users.
| Item | Monthly cost 2026 (EUR) | Elasticity |
|---|---|---|
| Compute (servers/containers) | 80 – 800 | High |
| Managed database | 50 – 500 | Medium |
| Storage & backups | 20 – 200 | Linear |
| CDN & bandwidth | 15 – 150 | By traffic |
| Observability (logs, APM) | 40 – 300 | By log volume |
| Emails & notifications | 20 – 120 | Per send |
| Security (WAF, secrets) | 30 – 150 | Fixed |
| Total | 200 – 2,000 / month | Mixed |
The most elastic items (compute, observability, bandwidth) are the ones that drift. A misconfigured log spike can triple your observability bill in a month. Compute must follow load — hence the value of auto-scaling so you don't pay peak capacity 24/7.
Cost per active user and economies of scale
The real health metric isn't the total bill, it's infra cost per active user — and it should fall as you grow.
| Customer count | Infra run/month | Infra cost / customer |
|---|---|---|
| 30 | 350 EUR | 11.7 EUR |
| 100 | 650 EUR | 6.5 EUR |
| 300 | 1,300 EUR | 4.3 EUR |
| 800 | 2,600 EUR | 3.3 EUR |
| 2,000 | 5,200 EUR | 2.6 EUR |
This scale effect is the signature of a healthy SaaS: infra cost per customer decreases thanks to pooling (multi-tenant on a shared database). If your cost per customer stalls or rises as you grow, it's an architectural red flag. The 2026 optimization levers: reserved instances (−30 to −50% on stable compute), storage tiering (cold archival), log sampling, aggressive CDN caching, and a quarterly FinOps review.
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Mini case study
Lina, CFO of an analytics SaaS in Singapore, sees her infra run go from 900 to 2,400 EUR/month in 8 months while her customer base merely doubled. Audit: observability logs account for 41% of the bill due to excessive verbosity, and compute runs at full capacity 24/7 with no auto-scaling. After optimization — log sampling (−60% on that item), overnight auto-scaling (−25% on compute) and reserved instances — the run drops to 1,550 EUR/month, i.e. 10,200 EUR of annual savings. On an ARR of 480,000 EUR, the infra share of COGS falls from 6% to 3.9%, directly improving gross margin.
FAQ
What share of revenue should infra represent? In mature B2B SaaS, infra typically weighs 5 to 15% of COGS, a smaller fraction of revenue. Above 20%, your architecture or pricing deserves an audit.
Does serverless really cut costs? At low load yes, you only pay for usage. At high, constant load, reserved instances often become cheaper. The right choice depends on your traffic profile.
Why is my observability bill exploding? Almost always because of log volume billed on ingestion. Sampling and differentiated retention (7 days hot, cold archival) easily cut 40–60% of that item.
When should you start FinOps? As soon as run exceeds 1,000 EUR/month or the bill surprises you. A quarterly half-day review often recovers 20–30% of drifted costs.
Should cost per customer really fall as you grow? Yes, it's the decisive test of a healthy multi-tenant architecture. If it stalls, you're not exploiting pooling and your margin will plateau at scale.
Let's scope your project. Share your current run, customer count and stack, and we'll audit your infra items and cost the optimizations. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
