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Alteriom
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Monitoring

Centralize production observability data with Prometheus, Grafana, Loki, and Sentry.

Updated Apr 14, 2026
Search Tags:#monitoring#observability#grafana#prometheus#alerting#sentry#loki
One-click install
npx skills add https://github.com/Alteriom/ai-dev-skills --skill monitoring-alteriom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Monitoring
Source: https://github.com/Alteriom/ai-dev-skills/tree/main/skills/monitoring
Command: npx skills add https://github.com/Alteriom/ai-dev-skills --skill monitoring-alteriom

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Production systems lack visibility and actionable signals; this skill provides a unified framework for metrics, logs, traces, and alerts to achieve observability.

Core Features & Use Cases

  • Prometheus-based metrics collection for reliable service monitoring and performance tuning.
  • Grafana dashboards for real-time visibility, SLA tracking, and anomaly detection.
  • Loki-based centralized logging and log correlation across services.
  • Sentry integration for error tracking with context and traces to speed debugging.
  • End-to-end observability workflows including alerting with Alertmanager and basic tracing for distributed systems.

Quick Start

Instrument your application with metrics, logs, and tracing, then verify dashboards and alerts.

Frequently Asked Questions about Monitoring

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up observability for microservices using Prometheus and Grafana?▼

Centralized logging with Loki aggregates structured logs across microservices, enabling log correlation during debugging. Sentry captures errors with context and traces, while Alertmanager handles alerting workflows to maintain uptime.

What is the best way to centralize production logs and error tracking for distributed systems?▼

Centralized logging with Loki aggregates structured logs across microservices, enabling log correlation during debugging. Sentry captures application errors with context and traces to speed up root cause analysis across distributed systems.

How do I configure alerts and dashboards for production infrastructure metrics?▼

Infrastructure metrics are collected via Prometheus and visualized in Grafana dashboards to detect anomalies. Alertmanager then processes alerting rules based on those metrics to deliver actionable signals for maintaining system uptime.

Can I use Sentry and Loki together for application debugging across environments?▼

Sentry and Loki integrate to centralize observability data across environments. Sentry provides error tracking with execution traces, while Loki correlates structured logs, delivering a unified framework for reliable production debugging.

Do I need to instrument my application before collecting microservices observability data?▼

Application instrumentation is required to collect metrics, logs, and traces before observability data can be centralized. Instrumenting apps generates the production signals needed to populate Grafana dashboards and configure Alertmanager alerts.

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