What metrics are included in the generated dashboards?

The dashboards focus on 'Golden Signals' (latency, traffic, errors, and saturation) as well as system resource utilization like CPU and memory usage.

Which monitoring platforms does this skill support?

This skill currently supports major monitoring platforms including Grafana, Datadog, and New Relic.

Can I customize the generated dashboard configurations?

Yes, the skill generates standard configuration files (like JSON for Grafana) that you can further refine or check into your version control system.

How do I trigger the APM dashboard creation?

You can trigger the skill using natural language commands like 'create a monitoring dashboard', 'generate a Grafana config', or 'setup a Datadog dashboard for my service'.

APM Dashboard Creator

Name: APM Dashboard Creator
Author: jeremylongshore

byjeremylongshore

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1,887

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분석 및 모니터링

Generates professional application performance monitoring dashboards for platforms like Grafana, Datadog, and New Relic.

This skill empowers developers to rapidly scaffold and deploy Application Performance Monitoring (APM) dashboards by automating the configuration of golden signals, request metrics, and resource utilization panels. It bridges the gap between raw infrastructure and actionable observability by providing structured templates for popular monitoring platforms, ensuring teams can visualize latency, traffic, errors, and saturation with minimal manual setup. Whether you are launching a new microservice or standardizing observability across a stack, this skill streamlines the creation of production-ready monitoring interfaces.

주요 기능

01Resource utilization visualization for CPU, memory, and disk

02Automated dashboard scaffolding for Grafana, Datadog, and New Relic

03Infrastructure-as-Code compatible configuration generation

04Pre-configured 'Golden Signals' (latency, traffic, errors, saturation)

05Customizable panels for database, cache, and business metrics

061,887 GitHub stars

사용 사례

01Standardizing observability dashboards across multiple engineering teams

02Generating performance visualizations for web application health and error tracking

03Setting up comprehensive monitoring for a new microservice architecture

주요 기능

01Resource utilization visualization for CPU, memory, and disk

02Automated dashboard scaffolding for Grafana, Datadog, and New Relic

03Infrastructure-as-Code compatible configuration generation

04Pre-configured 'Golden Signals' (latency, traffic, errors, saturation)

05Customizable panels for database, cache, and business metrics

061,887 GitHub stars

사용 사례

01Standardizing observability dashboards across multiple engineering teams

02Generating performance visualizations for web application health and error tracking

03Setting up comprehensive monitoring for a new microservice architecture