Can this skill help with cloud cost management?

Yes, by providing accurate forecasts of your resource needs, it helps prevent over-provisioning and allows for better budgeting through expansion cost estimates.

What specific metrics can the analyzer evaluate?

It can assess CPU usage, memory consumption, database storage, network bandwidth, and connection pool saturation among other critical system metrics.

How does the skill predict future infrastructure growth?

The skill analyzes historical utilization data for key metrics like CPU, memory, and storage to project future trends using advanced predictive modeling.

Is this skill suitable for proactive maintenance?

Absolutely. It is specifically designed for proactive planning, identifying potential bottlenecks and creating capacity roadmaps before performance issues occur.

Capacity Planning Analyzer

Name: Capacity Planning Analyzer
Author: intent-solutions-io

byintent-solutions-io

Cloud Infrastructure

Analyzes infrastructure utilization and forecasts growth trends to provide actionable scaling recommendations and prevent performance bottlenecks.

About

The Capacity Planning Analyzer skill empowers Claude to proactively manage infrastructure by assessing current resource utilization across CPU, memory, database storage, and network bandwidth. By leveraging historical performance data and advanced forecasting models, it predicts future capacity requirements, identifies imminent system bottlenecks, and generates comprehensive roadmaps for vertical or horizontal scaling. This skill is essential for DevOps teams and system architects who need to ensure high availability and cost-effective growth while avoiding the risks of sudden outages or resource saturation.

Key Features

Infrastructure utilization analysis for CPU, memory, and storage
Actionable vertical and horizontal scaling recommendations
Growth trend forecasting using historical performance data
Cost estimation for projected capacity expansion
0 GitHub stars
Identification of potential network and database bottlenecks

Use Cases

Forecasting database storage requirements to prevent disk-full incidents
Developing a long-term infrastructure roadmap for a rapidly scaling application
Identifying CPU saturation trends before they impact end-user experience

About

Key Features

Infrastructure utilization analysis for CPU, memory, and storage
Actionable vertical and horizontal scaling recommendations
Growth trend forecasting using historical performance data
Cost estimation for projected capacity expansion
0 GitHub stars
Identification of potential network and database bottlenecks

Use Cases

Forecasting database storage requirements to prevent disk-full incidents
Developing a long-term infrastructure roadmap for a rapidly scaling application
Identifying CPU saturation trends before they impact end-user experience