Does this skill support multi-cloud environments?

Yes, it provides specific optimization strategies and implementation patterns for AWS, Microsoft Azure, and Google Cloud Platform (GCP).

What pricing models does it cover?

It provides guidance on Reserved Instances (RI), Savings Plans, Spot/Preemptible instances, and Committed Use Discounts (CUD) to maximize savings.

How does it help with resource rightsizing?

The skill provides a framework for analyzing resource utilization and offers specific patterns for downsizing instances or implementing auto-scaling to match demand.

Can it help automate cost governance?

Absolutely. It includes Terraform snippets and strategies for setting up budget alerts, mandatory cost allocation tags, and automated resource lifecycle policies.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Activer007

byActiver007

Cloud Infrastructure

Optimizes cloud infrastructure spending across AWS, Azure, and GCP through resource rightsizing, automated tagging, and strategic pricing models.

About

The Cloud Cost Optimization skill provides a systematic framework for reducing cloud expenses while maintaining high performance and reliability. It enables developers and DevOps engineers to implement cost governance through infrastructure-as-code patterns, lifecycle policies, and automated budget alerts. By offering domain-specific guidance on reserved instances, spot instances, and multi-tier storage strategies, this skill helps teams identify over-provisioned resources and move toward a more efficient 'Serverless First' or right-sized architecture across all major cloud providers.

Key Features

Automated resource rightsizing and auto-scaling implementation patterns
0 GitHub stars
Infrastructure-as-Code snippets for budgets and lifecycle policies
Guidance on Reserved Instances, Savings Plans, and Spot instances
Multi-cloud optimization patterns for AWS, Azure, and Google Cloud
Comprehensive tagging strategies for granular cost allocation

Use Cases

Implementing automated cost governance and budget alerts via Terraform or CLI
Optimizing data storage costs using automated lifecycle and transition policies
Reducing monthly cloud bills by identifying and downsizing over-provisioned resources

About

Key Features

Automated resource rightsizing and auto-scaling implementation patterns
0 GitHub stars
Infrastructure-as-Code snippets for budgets and lifecycle policies
Guidance on Reserved Instances, Savings Plans, and Spot instances
Multi-cloud optimization patterns for AWS, Azure, and Google Cloud
Comprehensive tagging strategies for granular cost allocation

Use Cases

Implementing automated cost governance and budget alerts via Terraform or CLI
Optimizing data storage costs using automated lifecycle and transition policies
Reducing monthly cloud bills by identifying and downsizing over-provisioned resources