Expose Prometheus-compatible metrics from Rust applications using the metrics crate.
npx skills add https://github.com/gar-ai/mallorn --skill rust-metrics
Please help me install this Agent Skill. Skill: rust-metrics Source: https://github.com/gar-ai/mallorn/tree/main/.claude/skills/rust-observability-metrics Command: npx skills add https://github.com/gar-ai/mallorn --skill rust-metrics
Expose Prometheus-compatible metrics from Rust applications for production monitoring.
Initialize and run the Prometheus exporter in your Rust service to expose metrics on port 9100.
High-intent search queries and answers about installing and using this skill.
To expose Prometheus metrics from a Rust service, initialize and run the Prometheus exporter on a specified port to start instrumenting counters, gauges, and histograms using the metrics crate.
Adding observability telemetry to Rust batch jobs is best achieved by instrumenting the code with counters and histograms, allowing lightweight data to surface directly to alerting pipelines and dashboards via a Prometheus exporter.
Yes, you can use the metrics crate to track histograms and gauges in Rust microservices, providing templates and guidance for defining various metric types suitable for production monitoring and lightweight telemetry.
This Prometheus exporter setup works for both server-side services and batch contexts, offering initialization templates and metric definitions that cover counters, gauges, and histograms for comprehensive observability.
The Prometheus exporter uses port 9100 by default in Rust applications, requiring you to initialize and run the exporter within your service to successfully expose the collected observability data.
You need to initialize a Prometheus exporter for Rust production monitoring to quickly surface collected telemetry data from your application to external dashboards and alerting pipelines for observability.
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