Can it help with serverless cost management?

Yes, it promotes a 'Serverless First' architecture pattern to ensure you only pay for actual execution time rather than idle server capacity.

Does this skill work with Terraform?

Yes, it includes ready-to-use Terraform (HCL) snippets for configuring S3 lifecycles, resource tagging, budget alerts, and auto-scaling policies.

Which cloud providers are supported?

The skill includes specific optimization frameworks and pricing model strategies for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

What is the benefit of the tagging strategy included?

The tagging strategy ensures every resource is mapped to an owner and cost center, enabling precise cost allocation and visibility into which projects are driving expenses.

How does this skill help reduce cloud costs?

It provides domain-specific guidance on rightsizing resources, utilizing reserved capacity, implementing lifecycle policies, and using Spot instances to reduce spend by up to 90%.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Krosebrook

byKrosebrook

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Infraestructura en la Nube

Reduces cloud infrastructure expenses through resource rightsizing, strategic tagging, and efficient pricing model implementation across AWS, Azure, and GCP.

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The Cloud Cost Optimization skill provides a comprehensive framework for managing and reducing cloud expenditures across major providers. It offers actionable strategies for resource rightsizing, implementing granular tagging for cost allocation, and leveraging advanced pricing models like Reserved Instances and Spot instances. By integrating infrastructure-as-code patterns and cost governance policies, this skill enables teams to maintain high-performance environments while systematically eliminating waste and ensuring budget adherence.

Características Principales

1 GitHub stars
Automated resource rightsizing and idle resource detection
Comprehensive tagging strategies for granular cost center reporting
Multi-cloud support for AWS, Azure, and Google Cloud Platform
Infrastructure-as-Code (Terraform) snippets for budget alerts
Optimization patterns for storage lifecycle and serverless architectures

Casos de Uso

Reducing monthly cloud billing for over-provisioned enterprise environments
Implementing FinOps best practices across multi-cloud infrastructure
Automating budget alerts and cost anomaly detection via Terraform

Acerca de

Características Principales

1 GitHub stars
Automated resource rightsizing and idle resource detection
Comprehensive tagging strategies for granular cost center reporting
Multi-cloud support for AWS, Azure, and Google Cloud Platform
Infrastructure-as-Code (Terraform) snippets for budget alerts
Optimization patterns for storage lifecycle and serverless architectures

Casos de Uso

Reducing monthly cloud billing for over-provisioned enterprise environments
Implementing FinOps best practices across multi-cloud infrastructure
Automating budget alerts and cost anomaly detection via Terraform