Does this skill support multi-cloud environments?

Yes, it includes specific optimization frameworks and implementation patterns for AWS, Azure, and Google Cloud Platform.

What kind of savings can I expect from these strategies?

Depending on the method, you can achieve savings ranging from 30% via Reserved Instances to up to 90% using Spot/Preemptible instances for batch workloads.

Can it help automate cost governance?

Yes, it provides tagging strategies and Infrastructure as Code (Terraform) examples for setting up budget alerts and cost allocation.

Does it provide code for storage optimization?

Yes, it includes HCL/Terraform examples for S3 lifecycle configurations to automatically move data to lower-cost storage tiers.

Is this suitable for serverless architectures?

Absolutely, the skill includes patterns for 'Serverless First' architectures to ensure you only pay for actual execution time.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Activer007

byActiver007

クラウドインフラストラクチャ

Optimizes cloud infrastructure spending across AWS, Azure, and GCP through resource rightsizing, reserved capacity planning, and lifecycle management.

概要

This skill provides systematic frameworks and implementation patterns for reducing cloud expenses while maintaining performance and reliability. It guides users through the four pillars of cloud financial management: visibility through tagging and monitoring, right-sizing via utilization analysis, maximizing pricing models like Reserved Instances, and architectural optimization using serverless or multi-tier storage. By integrating these strategies, teams can implement cost governance policies, automate budget alerts, and utilize provider-specific discounts to significantly lower their cloud bill without compromising on operational scale.

主な機能

Storage lifecycle policy patterns to automate transitions between hot, warm, and cold tiers.
0 GitHub stars
Provider-specific optimization strategies for AWS, Azure, and Google Cloud Platform.
Detailed guidance on leveraging Spot instances, Savings Plans, and Committed Use Discounts.
Infrastructure as Code (IaC) templates for implementing tagging and budget alerts.
Multi-cloud architectural patterns focused on serverless-first and auto-scaling designs.

ユースケース

Standardizing cost allocation and governance through automated tagging strategies.
Reducing monthly cloud expenditures by identifying and removing idle or over-provisioned resources.
Migrating workloads to cost-efficient pricing models like AWS Savings Plans or GCP Sustained Use Discounts.

概要

主な機能

Storage lifecycle policy patterns to automate transitions between hot, warm, and cold tiers.
0 GitHub stars
Provider-specific optimization strategies for AWS, Azure, and Google Cloud Platform.
Detailed guidance on leveraging Spot instances, Savings Plans, and Committed Use Discounts.
Infrastructure as Code (IaC) templates for implementing tagging and budget alerts.
Multi-cloud architectural patterns focused on serverless-first and auto-scaling designs.

ユースケース

Standardizing cost allocation and governance through automated tagging strategies.
Reducing monthly cloud expenditures by identifying and removing idle or over-provisioned resources.
Migrating workloads to cost-efficient pricing models like AWS Savings Plans or GCP Sustained Use Discounts.