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FinOps

Cloud cost management and optimization

5
Best Practices
2
Benchmarks

Best Practices

FinOps Cloud Cost Best Practices

Shared responsibility model for cloud spend: Inform, Optimize, Operate phases.

by FinOps Foundation

AWS Well-Architected Sustainability Pillar

AWS guidance for reducing the environmental impact of cloud workloads by maximizing utilization, right-sizing, and choosing efficient regions, services, and hardware.

by Amazon Web Services

LLM Cost Optimization

LLM cost optimization reduces the spend of running language model applications through model selection, caching, prompt efficiency, and token-aware design without sacrificing quality.

by OpenAI

Cloud Cost Allocation and Tagging

Cloud cost allocation and tagging is the FinOps practice of labeling cloud resources with consistent metadata so spend can be attributed accurately to teams, products, and environments.

by FinOps Foundation

Green Software Engineering

Green software engineering is the practice of building applications that are carbon-efficient, energy-efficient, and carbon-aware, reducing the environmental impact of software at every layer.

by Green Software Foundation

Tutorials

How to set up cost budgets and alerts on AWS

Create AWS Budgets with thresholds and notifications to catch cost overruns before the bill arrives.

How to set up budgets and cost alerts on Google Cloud

Create Google Cloud budgets with threshold alerts and Pub/Sub automation to control project spend.

Checklists

Cloud Cost Optimization Checklist

Systematically reduce cloud spend through visibility, rightsizing, commitments, and architectural changes without harming reliability.

Benchmarks

Cost-per-Request Benchmark

Measures the fully loaded cloud cost of serving a single unit of work, attributing compute, memory, network, and storage spend to throughput.

Cloud Egress Cost Efficiency Benchmark

Measures the cost and volume of data leaving cloud environments, attributing egress spend to flows, regions, and services to surface optimization targets.