Margin Killer: Cloud Costs? How SaaS Providers Can Maximize Infrastructure Efficiency
David Hussain 3 Minuten Lesezeit

Margin Killer: Cloud Costs? How SaaS Providers Can Maximize Infrastructure Efficiency

In the growth phase of a SaaS company, there is a dangerous curve: the Cost of Goods Sold (COGS). As user numbers increase, cloud costs often explode disproportionately. The reason: inefficient resource allocation, unused “zombie” instances, and lack of cost transparency per customer (Unit Economics).
saas cloud-kosten finops infrastruktur-effizienz rightsizing kosten-transparenz deployment-prozess

In the growth phase of a SaaS company, there is a dangerous curve: the Cost of Goods Sold (COGS). As user numbers increase, cloud costs often explode disproportionately. The reason: inefficient resource allocation, unused “zombie” instances, and lack of cost transparency per customer (Unit Economics).

When infrastructure costs grow faster than revenue, the margin decreases. By 2026, FinOps is no longer an option but a survival strategy. Polycrate provides SaaS providers with the technical frameworks to embed efficiency directly into the deployment process.

The Problem: The “Sprinkler Infrastructure”

Many SaaS platforms are deployed under the “Safety First” principle. Each new tenant receives large resource contingents by default to avoid performance issues.

  • The Result: 40% of the reserved capacity lies idle but is fully paid for.
  • The Risk: With hundreds or thousands of customers, this “slack” adds up to six-figure amounts per year.
  • The Lack of Transparency: When all customers are treated the same, it’s hard to tell which tenant is profitable and which is driving up infrastructure costs.

The Solution: FinOps-by-Design with Polycrate

Polycrate enables the integration of economic principles directly into the technical Blocks. This makes cost efficiency a standard feature of every customer instance.

1. Rightsizing as an Automated Action

Instead of manual estimates, Polycrate Blocks include integrated actions for Rightsizing. Based on actual usage data, Polycrate automatically adjusts the requests and limits of the Containers.

  • Action: polycrate run customer-stack optimize-resources
  • Result: The infrastructure “breathes” with the actual load of the customer.

2. Unit Economics: Costs per Tenant

Polycrate uses consistent labeling and namespace isolation. This allows costs to be precisely attributed to a Block (and thus a customer or feature). SaaS providers can immediately see: “Customer A costs us €50 per month but only pays €49.”

3. Automated Lifecycle Management

SaaS environments tend to accumulate “resource waste” (old snapshots, unused load balancers). Polycrate Blocks contain automated cleanup actions that completely remove orphaned resources after a test account is deleted or a tenant is canceled.

The Strategic Advantage: Scalable Margins

When you have your COGS under control, it transforms your entire business model:

  • More Aggressive Pricing: With lower base costs, you can be more competitive in pricing.
  • Higher Company Value: Investors primarily evaluate SaaS companies based on their gross margin. Efficient infrastructure directly contributes to the multiplier.
  • Sustainability: Reduced energy consumption through efficient server usage improves your ESG score.

Conclusion: Infrastructure Must Pay Off

For a SaaS provider, every euro saved in the cloud is a direct profit. Polycrate ends the guessing game with cloud billing. It equips your team with the tools to operate a platform that is both technically brilliant and economically highly efficient.


Technical FAQ: COGS Optimization for SaaS

Can we use Spot Instances for our SaaS customers with Polycrate? Yes, absolutely. Polycrate can be configured to automatically run non-critical background processes or customer dev environments on Spot Instances, while the critical API remains on stable nodes. This significantly reduces the cost per tenant.

How does Polycrate help in deciding between Multi-Tenant and Single-Tenant? Polycrate abstracts the complexity. If an enterprise customer demands an isolated instance, you simply roll out the same Block in its own namespace or account. Cost monitoring remains consistent through unified Polycrate metrics.

Does aggressive Rightsizing affect performance? Not if it’s data-driven. Polycrate uses historical metrics to calculate buffers that maintain stability without leaving gigabytes of RAM unused.

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