Can it help reduce cloud infrastructure costs?

Yes, by providing right-sizing recommendations based on actual resource consumption, it helps you avoid over-provisioning and reduces waste.

Is historical data required for this skill to function?

While real-time metrics are used for immediate analysis, historical baselines allow for much more accurate trend analysis and anomaly detection.

How does the Resource Usage Tracker identify memory leaks?

It analyzes memory metrics over time, such as RSS and heap usage, to detect patterns of uncontrolled growth indicative of a leak.

Does it support network I/O monitoring?

Absolutely, it tracks network traffic and throughput to identify I/O bottlenecks and potential data transfer issues.

What system tools does this skill utilize?

The skill uses standard Linux utilities including top, ps, vmstat, and iostat to gather granular system performance data.

Resource Usage Tracker

Name: Resource Usage Tracker
Author: Brmbobo

byBrmbobo

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Analytics & Monitoring

Monitors and optimizes system resource usage across the application stack to identify performance bottlenecks and reduce infrastructure costs.

The Resource Usage Tracker skill empowers developers and DevOps engineers to monitor application health by gathering real-time metrics for CPU, memory, disk, and network I/O. By leveraging system tools like top, ps, and iostat, it identifies performance bottlenecks, detects memory leaks, and provides actionable recommendations for resource allocation and cost optimization. It is particularly useful for right-sizing cloud instances, analyzing the impact of code changes on system performance, and ensuring overall application stability through proactive resource management.

Key Features

011 GitHub stars

02Historical data comparison against performance baselines

03Real-time monitoring of CPU, memory, disk, and network I/O

04Granular process-level resource consumption reporting

05Automated bottleneck identification and performance analysis

06Cost-reduction recommendations through instance right-sizing

Use Cases

01Identifying and resolving memory leaks in production or staging environments

02Optimizing database connection pool utilization to improve application throughput

03Evaluating the impact of recent code deployments on infrastructure resource consumption

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast tracking-resource-usage

For use in Claude.ai and ChatGPT

Download Skill