How does it optimize Kubernetes cluster costs?

The skill includes configurations for ResourceQuotas, pod affinity for spot instances, and Pod Disruption Budgets to ensure high availability while minimizing node costs.

What is the typical savings potential of these strategies?

Depending on the strategy, users can see savings between 40-70% using Reserved Instances and up to 90% when effectively leveraging Spot Instances for non-critical workloads.

Can this skill help automate the deletion of unused resources?

Yes, it provides shell scripts and automation logic to identify and safely remove unattached EBS volumes, unused Elastic IPs, and idle database instances.

Which cloud providers are supported by this skill?

While the primary implementation examples focus on AWS and Kubernetes, the logic for rightsizing, spot instance management, and resource cleanup is applicable to GCP, Azure, and other major cloud providers.

Infrastructure Cost Optimization

Name: Infrastructure Cost Optimization
Author: aj-geddes

byaj-geddes

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Infraestructura en la Nube

Reduces cloud infrastructure expenditures through intelligent resource rightsizing, spot instance utilization, and automated waste reduction strategies.

Acerca de

This skill provides comprehensive strategies and scripts for managing cloud infrastructure costs across AWS, Kubernetes, and Terraform. It identifies underutilized resources like unattached EBS volumes and idle RDS instances, recommends rightsizing based on CloudWatch metrics, and implements cost-saving patterns such as Mixed Instance Fleets and Reserved Instance planning. It is an essential tool for engineering teams looking to automate FinOps practices and maintain high performance while minimizing monthly cloud waste.

Características Principales

Automated identification and cleanup of unattached EBS volumes and Elastic IPs
Kubernetes cost-optimization using ResourceQuotas and Pod Disruption Budgets
Python-based cost monitoring and reporting dashboard generation
18 GitHub stars
Implementation of Spot Instance and Reserved Instance patterns in Terraform
Metric-based rightsizing recommendations for EC2 and RDS instances

Casos de Uso

Automating the transition of non-critical workloads to Spot Instances
Implementing multi-environment cost allocation and utilization tracking
Identifying and eliminating cloud waste during monthly budget reviews

Acerca de

Características Principales

Automated identification and cleanup of unattached EBS volumes and Elastic IPs
Kubernetes cost-optimization using ResourceQuotas and Pod Disruption Budgets
Python-based cost monitoring and reporting dashboard generation
18 GitHub stars
Implementation of Spot Instance and Reserved Instance patterns in Terraform
Metric-based rightsizing recommendations for EC2 and RDS instances

Casos de Uso

Automating the transition of non-critical workloads to Spot Instances
Implementing multi-environment cost allocation and utilization tracking
Identifying and eliminating cloud waste during monthly budget reviews