Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when implementing availability and latency SLOs, creating SLO-aligned histogram buckets, monitoring error budgets, or validating compliance with defined service levels. Essential for reliability engineering and production SLO monitoring in microservices.
Quickly install python-micrometer-sli-slo-monitoring AI skill to your development environment via command line
Source: dawiddutoit/custom-claude.
Service Level Objectives (SLOs) define reliability targets (e.g., 99.9% availability, P95 latency < 500ms). Service Level Indicators (SLIs) measure whether SLOs are met. Micrometer's histogram buckets (Service Level Objectives in Micrometer) allow you to define thresholds aligned with business SLOs, enabling automatic error budget calculations and SLO compliance tracking.
Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when implementing availability and latency SLOs, creating SLO-aligned histogram buckets, monitoring error budgets, or validating compliance with defined service levels. Essential for reliability engineering and production SLO monitoring in microservices. Source: dawiddutoit/custom-claude.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dawiddutoit/custom-claude --skill python-micrometer-sli-slo-monitoring Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Stable fields and commands for AI/search citations.
npx skills add https://github.com/dawiddutoit/custom-claude --skill python-micrometer-sli-slo-monitoringDefine and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when implementing availability and latency SLOs, creating SLO-aligned histogram buckets, monitoring error budgets, or validating compliance with defined service levels. Essential for reliability engineering and production SLO monitoring in microservices. Source: dawiddutoit/custom-claude.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dawiddutoit/custom-claude --skill python-micrometer-sli-slo-monitoring Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/dawiddutoit/custom-claude