monitoring-expert

Application performance monitoring with Prometheus and Grafana involves automated dashboard creation and metric configuration. This Skill provides scripts to generate dashboards, define alerting rules, and instrument metrics using the Prometheus client library.

Distributed tracing with OpenTelemetry requires instrumenting your application using the opentelemetry-sdk-node and opentelemetry-api packages. This Skill automates tracing setup to capture performance data for debugging and optimization in production environments.

Configuring alerting rules for threshold and anomaly detection is best handled by defining structured rules within your monitoring stack. This Skill automates generating alert configurations for Prometheus to trigger notifications on defined metric anomalies.

Yes, you need specific software like Prometheus and Grafana installed, along with Python libraries such as the Prometheus client. Dependencies also include OpenTelemetry instrumentation packages for distributed tracing capabilities.

Yes, application profiling can run alongside Grafana dashboards using tools like k6 or Artillery. This Skill integrates performance profiling to correlate load testing results with your existing metrics and distributed tracing data.

Creating a structured logging pipeline for system monitoring involves defining consistent logging formats and transport mechanisms. This Skill provides tools to implement structured logging pipelines that integrate with your metrics and tracing stack.