Is it suitable for serverless architectures?

Yes, it includes specific patterns for serverless optimization, such as using event-driven architectures to minimize idle resource costs.

Can this help with multi-cloud environments?

Absolutely. It offers frameworks for cost governance and visibility that apply across different cloud providers simultaneously.

What is the primary benefit of using this skill?

It helps reduce cloud bills by 30-70% through systematic rightsizing, the use of reserved capacity, and improved visibility.

Which cloud providers are supported by this skill?

This skill provides optimization strategies and implementation patterns for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Does this skill include code examples?

Yes, it includes Terraform snippets for implementing S3 lifecycle policies, resource tagging, and cloud budget alerts.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: GaitanS

byGaitanS

Cloud Infrastructure

Reduces cloud expenditures through systematic resource rightsizing, pricing model optimization, and automated infrastructure governance.

About

The Cloud Cost Optimization skill provides domain-specific guidance for reducing infrastructure spending across AWS, Azure, and Google Cloud Platform. It assists developers and DevOps engineers in implementing systematic cost-saving measures such as lifecycle policies, reserved instances, and tagging strategies while maintaining system performance. By integrating best practices for multi-cloud environments, this skill helps teams establish visibility into their spending, automate the detection of cost anomalies, and implement architectural patterns that minimize waste.

Key Features

0 GitHub stars
Standardized tagging strategies for improved cost allocation and visibility
Multi-cloud strategy coverage for AWS, Azure, and GCP
Resource rightsizing and utilization analysis patterns
Infrastructure as Code (Terraform) snippets for cost-saving policies
Implementation guides for Reserved Instances, Savings Plans, and Spot instances

Use Cases

Identifying and downsizing over-provisioned cloud resources to match actual demand
Automating S3 and storage lifecycle management to move data to lower-cost tiers
Setting up automated budget alerts and cost anomaly detection via Terraform

About

Key Features

0 GitHub stars
Standardized tagging strategies for improved cost allocation and visibility
Multi-cloud strategy coverage for AWS, Azure, and GCP
Resource rightsizing and utilization analysis patterns
Infrastructure as Code (Terraform) snippets for cost-saving policies
Implementation guides for Reserved Instances, Savings Plans, and Spot instances

Use Cases

Identifying and downsizing over-provisioned cloud resources to match actual demand
Automating S3 and storage lifecycle management to move data to lower-cost tiers
Setting up automated budget alerts and cost anomaly detection via Terraform