What metrics can this skill analyze?

The skill assesses CPU usage, memory allocation, database storage utilization, network bandwidth, and connection pool saturation.

How does this skill help with infrastructure costs?

It provides cost estimations for recommended scaling operations, allowing teams to budget effectively for future growth.

Is this skill compatible with cloud-native environments?

Absolutely. It is designed to provide scaling recommendations suitable for cloud providers like AWS, GCP, and Azure, covering both vertical and horizontal scaling.

Can it predict future resource needs?

Yes, it uses historical utilization data to forecast growth trends and recommend scaling before performance bottlenecks occur.

Capacity Planning & Growth Analyzer

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

byintent-solutions-io

Analytics & Monitoring

Analyzes infrastructure utilization and forecasts resource growth to provide actionable scaling recommendations.

About

This skill empowers developers to proactively manage infrastructure by analyzing current resource utilization—including CPU, memory, database storage, and network bandwidth—to predict future growth. By identifying potential bottlenecks before they occur, it generates actionable insights for horizontal and vertical scaling, helping teams maintain peak performance and availability while accurately estimating the costs associated with infrastructure expansion.

Key Features

Real-time utilization analysis for CPU, memory, and storage
Growth forecasting based on historical performance trends
Proactive identification of infrastructure bottlenecks
Cost estimation for proposed capacity expansions
Actionable vertical and horizontal scaling strategies
0 GitHub stars

Use Cases

Identifying CPU bottlenecks and planning server upgrades
Developing proactive multi-quarter infrastructure roadmaps
Forecasting database storage requirements to prevent downtime

About

Key Features

Real-time utilization analysis for CPU, memory, and storage
Growth forecasting based on historical performance trends
Proactive identification of infrastructure bottlenecks
Cost estimation for proposed capacity expansions
Actionable vertical and horizontal scaling strategies
0 GitHub stars

Use Cases

Identifying CPU bottlenecks and planning server upgrades
Developing proactive multi-quarter infrastructure roadmaps
Forecasting database storage requirements to prevent downtime