Observability & Monitoring

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This skill provides a comprehensive framework for establishing robust observability in distributed systems, focusing on the four pillars of metrics, logs, traces, and events. It offers specialized guidance on Prometheus architecture, PromQL query optimization, and Grafana visualization, while facilitating the implementation of Service Level Objectives (SLOs) and Error Budgets. Whether setting up Kubernetes service discovery, configuring Alertmanager for incident response, or building custom exporters, it ensures systems remain reliable through advanced time-series analysis and operational excellence patterns.

Características Principales

• Storage optimization techniques for high-cardinality metrics and long-term data retention
• Implementation patterns for Prometheus architecture, scrape configurations, and Kubernetes service discovery
• Guidance on Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budget management
• Comprehensive alerting strategy design including Alertmanager routing, grouping, and notification logic
• 17 GitHub stars
• Advanced PromQL query development for metrics analysis, aggregation, and anomaly detection

Casos de Uso

• Setting up production-ready monitoring for microservices and cloud-native applications
• Defining and tracking reliability targets using SLIs, SLOs, and incident response automation
• Debugging performance bottlenecks and system saturation using time-series data and visualization