What is the recommended first step for cost optimization?

The skill emphasizes Visibility as the first step, helping you implement cost allocation tags and dashboards to identify where money is being spent.

Does it support Infrastructure as Code?

Absolutely, it includes HCL/Terraform snippets for implementing resource tagging, budget alerts, and auto-scaling policies.

Is it focused only on compute resources?

No, it also covers storage optimization (like S3/Azure Blob), database tiering, and data transfer cost reduction strategies.

How does this skill help reduce AWS costs?

It provides patterns for Reserved Instances, Savings Plans, and Spot instances, along with Terraform code for S3 lifecycle policies and auto-scaling.

Can I use this for multi-cloud environments?

Yes, the skill includes specific strategies and optimization frameworks for AWS, Microsoft Azure, and Google Cloud Platform (GCP).

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Activer007

byActiver007

Cloud Infrastructure

Reduces cloud infrastructure spending through systematic rightsizing, tagging strategies, and optimized pricing models.

About

The Cloud Cost Optimization skill empowers developers and DevOps engineers to minimize expenses across AWS, Azure, and GCP by implementing standardized cost-governance frameworks. It provides domain-specific patterns for resource rightsizing, lifecycle management, and reserved capacity planning, ensuring high performance while adhering to strict budget constraints through proactive monitoring and infrastructure-as-code best practices.

Key Features

Multi-cloud strategy for AWS, Azure, and Google Cloud Platform
Resource rightsizing and automated scaling configurations
Cloud storage lifecycle and multi-tier storage optimization
Infrastructure-as-Code (Terraform) cost management patterns
Advanced tagging strategies for cost allocation and visibility
0 GitHub stars

Use Cases

Implementing automated budget alerts and proactive cost anomaly detection
Auditing existing cloud infrastructure to identify waste and over-provisioned resources
Optimizing storage costs through automated multi-tier lifecycle policies

About

Key Features

Multi-cloud strategy for AWS, Azure, and Google Cloud Platform
Resource rightsizing and automated scaling configurations
Cloud storage lifecycle and multi-tier storage optimization
Infrastructure-as-Code (Terraform) cost management patterns
Advanced tagging strategies for cost allocation and visibility
0 GitHub stars

Use Cases

Implementing automated budget alerts and proactive cost anomaly detection
Auditing existing cloud infrastructure to identify waste and over-provisioned resources
Optimizing storage costs through automated multi-tier lifecycle policies