FinOps Isn't About Cutting Cloud Spend. It's About Owning It.
The goal of FinOps is not a lower cloud bill. It’s a cloud bill you understand, can explain, and can defend. The difference matters more than it sounds.
GCP
How Much Are You Leaving on the Table? A FinOps Audit Checklist for Cloud Teams
Most companies are leaving money on the table across three categories: unclaimed SLA credits, undetected billing anomalies, and idle resources. Here’s how to find out where you stand.
The 9 Commits That Completed Our Multi-Cloud SLA Claim Filing Module
From ConnectorFactory to Cloud Scheduler, this is a walk through the 9 commits that wired together auto-claim filing for AWS, Azure, and GCP — including the bugs we caught before shipping.
How We Built 433 Cloud Scan Rules Across 6 Provider Categories
433 scan rules across AWS, Azure, GCP, Kubernetes, on-prem, and multi-cloud. Here’s the architecture that makes them discoverable, testable, and extendable by any engineer.
FOCUS 1.2: The Cloud Billing Standard Nobody Talks About (But Everyone Should Use)
AWS calls it ‘UsageType’. Azure calls it ‘MeterCategory’. GCP calls it ‘service.description’. FOCUS 1.2 gives them all the same name. That matters more than it sounds.
AWS, Azure, and GCP All Speak Different Dialects. We Built a Translator.
AWS says ‘resolved’. GCP says ‘SOLUTION_PROVIDED’. Azure says ‘closed’. If you don’t translate before acting on these, you’ll mark valid credits as denied — silently.
The SLA Breach Lifecycle: From Cloud Incident to Credit Claim in 4 Steps
Breach detection is only step one. The real complexity is in quantification, filing windows, month-boundary splits, and credit calculation. Here’s the full lifecycle.
We Built a FinOps Platform to Control Cloud Costs. We Deployed It Across Three Clouds.
Yes, we see the irony. A FinOps platform deployed across AWS, GCP, and Azure simultaneously — Dev on GCP, QA on Azure, Prod on AWS. Here’s why it’s deliberate.
We Almost Chose Kubernetes. A Single Bug Changed Our Mind — And Created a New Problem.
Cloud Run’s scale-to-zero saved us money. Its 60-second SIGTERM timeout almost broke our workers. Here’s what we learned.