Which cloud providers does this skill support?

This skill provides specific optimization strategies and patterns for the major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Does it provide guidance on commitment-based pricing?

Absolutely. The skill covers detailed strategies for Reserved Instances, Savings Plans, and Committed Use Discounts (CUDs) to help you maximize long-term savings.

Can this skill help with automated cost management?

Yes, it includes ready-to-use Terraform templates for implementing automated budget alerts, resource tagging, and S3 lifecycle policies to maintain continuous cost control.

Does it cover low-cost instance types like Spot Instances?

Yes, it includes implementation patterns and risk-mitigation strategies for using AWS Spot Instances, Azure Spot VMs, and GCP Preemptible VMs to achieve up to 90% savings vs on-demand pricing.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Microck

byMicrock

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Cloud Infrastructure

Optimizes cloud expenditures through resource rightsizing, strategic tagging, and efficient pricing model selection across AWS, Azure, and GCP.

About

The Cloud Cost Optimization skill provides a comprehensive framework for managing and reducing cloud infrastructure costs without sacrificing performance or reliability. It empowers developers to implement systematic cost visibility, right-size over-provisioned resources, and leverage commitment-based pricing models like Reserved Instances and Savings Plans. By utilizing included Infrastructure as Code snippets for budgets and lifecycle policies, teams can automate cost governance and architect highly efficient multi-cloud environments.

Key Features

Terraform snippets for automated budget alerts and S3 lifecycle policies
Resource rightsizing guidance based on utilization analysis and auto-scaling
81 GitHub stars
Standardized tagging strategies for improved cost allocation and visibility
Multi-cloud optimization strategies for AWS, Azure, and Google Cloud Platform
Strategic implementation patterns for Spot Instances and Reserved Capacity

Use Cases

Architecting cost-efficient data storage using multi-tier lifecycle policies
Implementing automated cost governance and budget alerts via Infrastructure as Code
Reducing monthly cloud expenditures for over-provisioned production environments

About

Key Features

Terraform snippets for automated budget alerts and S3 lifecycle policies
Resource rightsizing guidance based on utilization analysis and auto-scaling
81 GitHub stars
Standardized tagging strategies for improved cost allocation and visibility
Multi-cloud optimization strategies for AWS, Azure, and Google Cloud Platform
Strategic implementation patterns for Spot Instances and Reserved Capacity

Use Cases

Architecting cost-efficient data storage using multi-tier lifecycle policies
Implementing automated cost governance and budget alerts via Infrastructure as Code
Reducing monthly cloud expenditures for over-provisioned production environments