Why Every Infra Team Is Doing FinOps and Why It’s Not Sustainable
Cloud infrastructure has changed. Costs are now driven by usage, and usage is growing fast.
AI workloads, serverless compute, GPUs, and multi-cloud architecture have made cloud billing more dynamic, more opaque, and harder to manage. This shift has created a silent crisis inside most engineering orgs:
Your infra team is now doing FinOps.
Not because they want to. Because they have to
FinOps Pressure Is Climbing Fast
Every month, someone needs answers:
- Why did our cloud bill spike?
- Who’s burning GPU hours?
- Which team owns this cost overrun?
- Can we cut spend without blocking product?
Those questions land on the infra team’s desk because they’re the only ones who understand the architecture behind the spend. But they weren’t hired for this. And every month, the pressure increases.
- More usage, more suppliers, more internal stakeholders
- More meetings, spreadsheets, and Slack threads
- Less time to actually improve the platform
The reality is: most engineers doing FinOps today don’t know where to start.
They’re navigating raw billing logs, scattered observability tools, and tribal knowledge. There’s no context, no system, just pressure.
And it’s not scalable.
Infra Teams Need FinOps Automation
If infra teams are now responsible for cloud cost, they need tools that do more than expose spend. They need help understanding it.
They need a system that answers:
- What changed in the infra that led to this spike?
- Which GitHub PR introduced this cost behavior?
- Which service, team, or environment owns this line item?
- What’s the fair price for what we’re running?
They don’t need another dashboard.
They need FinOps automation with context, causality, and clarity built in.
What We’re Building with Costory
We built Costory because we were tired of being the « designated FinOps engineer. »
Tired of digging through billing CSVs and Slack history to explain where the money went.
Costory connects cost data to what’s actually happening in your systems.
We pull signals from cloud billing, GitHub, Datadog, and more. Then we use AI to trace cost back to technical and business causes.
- See which code change caused a spike
- Identify idle or overprovisioned services
- Map spend to features, teams, and environments
- Share insights with finance, product, and leadership without tickets
This allows your infra team to stop being reactive.
And it helps your entire org understand and act on cloud spend.
The Takeaway for CTOs and CEOs
FinOps is no longer a part-time job.
It’s an essential capability for companies scaling with cloud and AI.
If your infra team is still explaining invoices manually, you’re losing time, money, and talent.