Which monitoring tools does this skill support?

The skill assists with various industry-standard tools including Prometheus, StatsD, AWS CloudWatch, and other popular observability platforms.

How does it help with metrics organization?

It guides you in designing a consistent metrics taxonomy and naming convention to ensure data remains clear and searchable across different systems.

Is it compatible with database monitoring?

Absolutely, it can help aggregate metrics such as query execution time, connection pool usage, and throughput from various database engines.

Can it help set up automated alerts?

Yes, it assists in defining critical performance thresholds and configuring alerts to notify your team before performance issues impact users.

Performance Metrics Aggregator

Name: Performance Metrics Aggregator
Author: jeremylongshore

byjeremylongshore

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883

Analytics & Monitoring

Centralizes performance metrics from diverse applications and systems into unified monitoring dashboards.

About

This skill provides comprehensive guidance for consolidating performance data from across your entire stack—including applications, databases, and cloud services—into a centralized monitoring system. It assists developers in designing consistent metrics naming conventions, selecting the right tools like Prometheus or CloudWatch, and establishing actionable alerts to ensure system reliability and faster troubleshooting. By streamlining the collection and visualization process, it helps teams gain better observability and resolve performance bottlenecks efficiently.

Key Features

Consistent metrics taxonomy and naming convention design
Multi-source integration across apps, caches, and databases
Configuring proactive alerts for critical performance indicators
883 GitHub stars
Expert selection of aggregation tools based on infrastructure
Dashboard visualization and monitoring setup

Use Cases

Centralizing database performance metrics to identify and alert on slow queries
Consolidating application latency and error rates into a Prometheus instance
Aggregating system-level resource usage with application-specific business metrics

About

Key Features

Consistent metrics taxonomy and naming convention design
Multi-source integration across apps, caches, and databases
Configuring proactive alerts for critical performance indicators
883 GitHub stars
Expert selection of aggregation tools based on infrastructure
Dashboard visualization and monitoring setup

Use Cases

Centralizing database performance metrics to identify and alert on slow queries
Consolidating application latency and error rates into a Prometheus instance
Aggregating system-level resource usage with application-specific business metrics