What cloud providers does this skill support?

It provides frameworks and strategies tailored for AWS, Microsoft Azure, Google Cloud Platform (GCP), and Kubernetes-orchestrated environments.

Is this skill for finance or engineering teams?

It is designed for cross-functional use, helping engineering teams take technical accountability for cloud costs while providing finance teams with the necessary visibility and reporting.

Can this help with Kubernetes specifically?

Yes, it includes detailed guidance on setting resource requests and limits, cluster autoscaling, and implementing visibility tools like Kubecost or OpenCost.

How does this skill help reduce cloud costs?

It identifies savings through commitment-based discounts, right-sizing over-provisioned resources, utilizing Spot instances, and establishing automated cleanup for idle infrastructure.

Cost Optimization & FinOps

Name: Cost Optimization & FinOps
Author: ancoleman

byancoleman

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158

Cloud Infrastructure

Optimizes cloud infrastructure costs through FinOps practices, resource right-sizing, and automated governance across major cloud providers and Kubernetes.

About

This skill provides a comprehensive framework for managing and reducing cloud expenditure by implementing the FinOps lifecycle: Inform, Optimize, and Operate. It offers actionable strategies for commitment-based discounts, Spot instance utilization, and Kubernetes resource allocation, helping engineering teams establish cost visibility, implement budget controls, and reduce waste by up to 40% across AWS, Azure, and GCP environments.

Key Features

Kubernetes resource right-sizing and pod efficiency patterns
Automated cost governance and cascading budget alerting
Commitment-based discount strategies including RIs and Savings Plans
Multi-cloud cost management for AWS, Azure, and GCP
FinOps lifecycle implementation (Inform, Optimize, Operate)
158 GitHub stars

Use Cases

Reducing monthly cloud spend by identifying and eliminating idle resources
Establishing cost allocation tags and showback models for internal teams
Optimizing Kubernetes cluster efficiency through better request/limit management

About

Key Features

Kubernetes resource right-sizing and pod efficiency patterns
Automated cost governance and cascading budget alerting
Commitment-based discount strategies including RIs and Savings Plans
Multi-cloud cost management for AWS, Azure, and GCP
FinOps lifecycle implementation (Inform, Optimize, Operate)
158 GitHub stars

Use Cases

Reducing monthly cloud spend by identifying and eliminating idle resources
Establishing cost allocation tags and showback models for internal teams
Optimizing Kubernetes cluster efficiency through better request/limit management