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Engineers Don’t Ignore Cloud Cost — Cloud Cost Ignores Engineers

Simon Mestdagh
February 3, 2026
February 3, 2026
4
min read

Runtime FinOps is the missing feedback loop in cloud engineering

For years, FinOps has tried to answer one question:

“How do we get engineers to care about cloud spend?”

But that question is backwards. Engineers already care deeply about the systems they build. The real issue is that cloud cost has been treated as something outside the system — something that happens after engineering work, not because of it.

Cost became an accounting artifact. Engineers deal in causality. And until cost becomes causal, it will remain invisible.

“Wait—who’s ignoring who?”

Cost Is Not a Finance Problem. It’s a Software Behavior

The most important shift in thinking is this:

Cloud cost is not a number. It is an emergent property of software.

A deployment changes cost.
A retry loop changes cost.
A new feature flag changes cost.
A scaling rule changes cost.

Cloud spend is not “managed.” It is produced, continuously, by code.

Which means the real question is not: “How do we optimize cloud cost?”

The real question is: How do we make cost a first-class runtime behavior of software?

That’s what Runtime FinOps is really about.

Engineers Don’t Act on Metrics. They Act on Explanations

Most FinOps platforms are built around visibility:

Here’s the spike.
Here’s the service.
Here’s the spend.

But engineers don’t respond to visibility. They respond to explanation.

A latency graph is useful because it implies causality: Something changed. A cost anomaly dashboard does not. It floats in abstraction.

A cost anomaly becomes actionable only when it answers the engineer’s real question: What did we do to cause this?

Runtime FinOps makes a very specific promise: Every anomaly is traced back to the exact commit, pull request, and deployment that introduced it. That single design decision changes cost from a financial report into an engineering signal.

The Missing Primitive in Cloud Engineering Is “Cost Diff”

Here is the idea most FinOps tooling still misses: Engineers don’t think in totals.

Engineers think in diffs. We don’t ship “a system.” We ship changes to a system.

Everything in engineering is evaluated through deltas:

A performance regression.
A breaking API change.
A security patch.

Cost has never had a diff layer.

FinOps shows you: what you spent. Engineering needs: what changed.

Runtime FinOps introduces something new: cost diff as a deployment artifact.

Not monthly variance. Not budget drift.

A concrete causal delta: “This merge increased infra cost by +$12K/day.”

That is an engineering primitive.

The Best FinOps Product Might Look More Like CI Than Like Finance

Most people assume FinOps products should resemble: dashboards, reports, governance.

But developer-first FinOps points somewhere else entirely: The best cost tooling might look like CI.

A failing test doesn’t ask for a meeting.

It simply tells you: This change broke something.

Cost needs the same integration.

Imagine cost anomalies behaving like:

A failed deployment check.
A regression warning.
An operational incident.

Not a finance escalation.

Runtime FinOps is essentially cost entering the same loop as reliability:

code → deploy → runtime signal → ownership → action

That is not traditional FinOps. That is cloud engineering evolving.

Dashboards Are Not the Problem. Dashboards Are the Symptom

People often say “engineers don’t want dashboards.”

That’s true, but shallow. The deeper truth is: Dashboards imply the work belongs to someone else.

A dashboard is where problems go to wait. Engineering systems are where problems go to be resolved.

When cost lives in a separate platform, it becomes culturally external: Finance will handle it.

Runtime FinOps makes a different choice: No new dashboards

Cost anomalies land where engineers already operate: Slack. Jira. GitHub. Deployment workflows.

Not as visibility. As ownership.

The Future: Cost Becomes a Runtime Property of Software

In a few years, we won’t talk about “cloud cost management” as a separate discipline.

Cost will become native to engineering workflows:

Cost regressions in CI.
Cost-aware deployments.
Anomaly postmortems.
Ownership at commit level.

FinOps moves from reports to runtime.

From finance abstraction to engineering causality.

That is Runtime FinOps.

Closing Thought

Engineers don’t ignore cost because they’re careless.

They ignore cost because cost has never been expressed in engineering terms.

The moment cost becomes attributable to change…

The moment anomalies come with commits

The moment ownership becomes clear…

FinOps stops being something engineering is asked to participate in.

And becomes what it should have been all along: operational discipline for cloud software.

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