Cloud Cost Optimization for SaaS
For SaaS companies, cloud infrastructure is your largest variable cost after people. As you scale users, your cloud bill scales too — but it doesn't have to scale linearly. We help SaaS teams improve unit economics and extend runway by optimizing cloud spend.
SaaS Cloud Cost Challenges
Cloud costs scale faster than revenue
Many SaaS companies find their cloud bill growing faster than MRR. Without optimization, the cost to serve each customer increases instead of decreasing with scale.
Multi-tenant architecture complexity
Shared infrastructure makes it hard to attribute costs to individual customers or features. Without cost allocation, you can't identify which tenants or features are unprofitable.
Dev/staging environment sprawl
Engineering teams spin up environments for features, demos, and testing — then forget about them. Non-production environments often account for 30-40% of total cloud spend.
Commitment timing uncertainty
Fast-growing SaaS companies hesitate to buy commitments because usage patterns change quarterly. This means paying on-demand prices for workloads that have been stable for months.
SaaS Security & Trust
SaaS companies need to maintain security certifications that customers require during procurement. Cloud optimization must preserve these trust signals.
Where SaaS Cloud Spend Goes
Typical cost distribution across infrastructure categories
Optimization Strategies for SaaS
Implement non-production scheduling
Shut down dev, staging, and QA environments outside business hours. This single change typically saves 15-20% of total cloud spend with zero impact on customers.
Right-size based on actual utilization
Most SaaS workloads run at 15-25% CPU utilization. Right-sizing compute instances to match actual usage patterns saves 30-40% on compute with no performance impact.
Clean up zombie resources
Unattached EBS volumes, old snapshots, unused load balancers, forgotten feature branch environments. Quarterly cleanup audits typically find 5-10% waste.
Start commitment purchases strategically
You don't need to commit to everything. Start with stable baseline workloads — databases, core API servers — and leave scaling headroom on-demand. Even 40% commitment coverage saves significantly.
Track cost per customer
Implement tagging and cost allocation to understand your unit economics. Knowing your cost-to-serve per customer reveals pricing and architecture optimization opportunities.
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