For SaaS companies
AWS cost optimisation for SaaS companies
SaaS has the most predictable AWS waste pattern of any business model: the product runs steady, the bill only grows. That steadiness is exactly what makes SaaS accounts the most fixable — steady baselines are what Savings Plans, rightsizing and scheduling were built for.
The free scan reads your account (read-only, no keys) and shows the environment-by-environment waste in about 20 minutes.
Run the free scanWhere SaaS AWS bills leak
- →Environment sprawl. Production, staging, QA, demo, load-test, that env from the enterprise pilot in 2024. Each was justified once; collectively they often cost more than production. The tell: environments nobody can name an owner for.
- →Staging that never sleeps. Your team uses staging maybe 45 hours a week; you pay for 168. Scheduling non-prod off nights and weekends cuts ~70% of its cost with zero architecture change — usually the single biggest quick win in a SaaS account.
- →Per-tenant leftovers. Single-tenant deployments, per-customer databases, dedicated demo stacks — churned customers leave infrastructure behind. If offboarding has no "destroy resources" step, the ghosts accumulate forever.
- →Zero commitment coverage. A steady SaaS baseline paying on-demand rates leaves 20%+ on the table. This is the most common finding in SaaS accounts we scan: predictable usage, 0% Savings Plan coverage — usually because nobody wanted to own the decision.
- →CI/CD runners on-demand. Build runners that scale up for pipelines and never scale down, x86 runners that could be Graviton, artifact buckets with no lifecycle policy. Delivery infrastructure is nobody’s product, so nobody optimises it.
Put numbers on it
Is my AWS bill too high?
Benchmark your spend against typical ranges for your team size in 30 seconds.
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EC2 idle cost estimator
What your under-5%-CPU instances cost, and what rightsizing the quiet ones saves.
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Savings Plans calculator
On demand against one and three year commitments, and why rightsizing has to come first.
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Frequently asked questions
What does a typical SaaS company overspend on AWS?
Across SaaS accounts in the £2k–£30k/month range, 20–35% recoverable is typical: roughly one third idle/oversized compute, one third storage and logging accumulation, one third missing commitment discounts. The pattern is consistent because the cause is — steady growth with nobody owning the bill.
Will cost optimisation risk our uptime?
The biggest SaaS savings are risk-free by construction: scheduling non-production, deleting orphaned per-tenant resources, buying Savings Plans (a billing change, not an infrastructure change) and migrating gp2 volumes to gp3 (live, no downtime). Production topology changes come last and only with evidence.
£499 fixed. Free scan first. 20%+ found or it’s free.
The scan is read-only — a role you create and delete, no keys shared — and shows your estimated monthly saving before anyone talks about money.