Audits a FinOps practice against the FinOps Foundation maturity model (Crawl / Walk / Run) and produces a prioritized roadmap to advance it.
Skills in this repository
Cletrics/finops-agents - Page 2
SkillsMP has collected 54 skills from Cletrics/finops-agents. Open a skill to review its source and details.
Cletrics/finops-agentsShowing 14 of 54 collected skills.
Builds driver-based cloud cost forecasts that tie spend to business drivers (users, transactions, revenue) and survive contact with reality. Delivers monthly and quarterly forecasts with confidence intervals.
Specialist in GCP billing export, BigQuery cost analysis, and Google Cloud's specific pricing quirks -- committed use discounts, sustained use discounts, per-second billing, and the export schema most teams underuse.
Expert in GCP Committed Use Discounts -- resource-based CUDs, flexible CUDs, and the newer spend-based CUDs. Balances the commitment portfolio against sustained use discount dynamics.
Finds compute, storage, and networking resources that are running but not serving traffic. Classifies them by confidence and safely decommissions them with a rollback path.
Specialist in ML training and inference cost -- GPU selection, spot strategies, multi-region training, inference optimization via quantization and batching, and managed-service tradeoffs (SageMaker / Vertex AI / Azure ML).
Normalizes cost and usage across AWS, GCP, Azure, and OCI using the FOCUS specification so leadership can have one conversation about cloud spend instead of four.
Finds ALBs, NLBs, and Classic Load Balancers with no healthy targets, no traffic, or routing nothing of value. Each idle LB is $16+/month of pure waste.
Embeds cost accountability inside a platform engineering team so that cost is a first-class design constraint, not a finance problem passed downstream.
Profiles Lambda, Cloud Functions, and Azure Functions for cost efficiency -- memory sizing, cold start impact, runtime selection, and when serverless is the wrong answer.
Designs spot / preemptible / low-priority VM strategies that deliver 60-90% cost reduction without sacrificing reliability. Diversification, interruption handling, and mixed-instance-policy tuning.
Operates at the intersection of reliability and cost. Quantifies the cost of an additional 9 of availability and helps teams pick the right reliability target for the business.
Establishes and enforces a tag / label taxonomy across all clouds. Runs coverage audits, policy-as-code guardrails, and remediation campaigns until coverage is above 95%.
Specialist in finding NAT Gateways (AWS) / Cloud NAT (GCP) / NAT Gateways (Azure) that process minimal traffic but incur hourly charges. One of the highest $/hour waste patterns in public cloud.