FinOps Network
Connect with FinOps practitioners worldwide
Just finished our Q1 cloud cost review. We cut waste by 34% by tackling orphaned EBS volumes and unattached EIPs. The hardest part wasn't the tooling — it was getting engineering to agree on ownership tagging. Anyone else facing this challenge?
FinOps tip: GCP Committed Use Discounts for Compute Engine are almost always worth it for baseline workloads. We're seeing 30–45% savings vs on-demand. Just make sure you analyze your 30-day usage pattern first — don't commit to something you'll scale down.
How are you approaching carbon cost attribution in your FinOps practice? We're trying to build a unified dashboard that shows both $ cost and CO₂ footprint per team. Would love to hear what tools or approaches you're using — Scope 2 vs. Scope 3 is where it gets complicated.
Just earned my CFOP certification! Three months of study, practice exams, and late nights. The IFO4 learning paths are genuinely excellent — especially the module on chargeback models. What certifications are you working toward this year?
Published a new article on federal cloud financial management. The public sector has unique constraints — ATO processes, FedRAMP boundaries, and multi-agency chargeback complexity. The political aspect of cost accountability in government is underappreciated.
Hot take: FinOps and CloudSec are converging. We can't have separate conversations about cost optimization and security posture. Over-provisioning for "security headroom" without analysis is wasting money AND adding attack surface. The intersection is where the real work happens.
We open-sourced our Kubernetes cost allocation tooling. It maps pod resource requests/limits to actual GCP billing data and generates team-level cost reports. Built on Kubecost's data model but customized for our showback workflow. Link in the comments.
E-commerce FinOps challenge: how do you handle cost anomaly alerting during planned high-traffic events (Black Friday, Prime Day)? We suppress alerts during these windows but still want to catch true anomalies. Curious how others handle the signal-to-noise problem.