What are multi-window burn rate alerts?

These are advanced SRE alerting techniques that use both short and long time windows to identify critical reliability issues quickly while reducing false positive alerts during minor fluctuations.

Does this work with my existing monitoring stack?

Yes, it specifically includes PromQL queries for Prometheus recording rules and templates for Grafana dashboards, which are industry standards for observability.

How does this skill help manage error budgets?

It provides standardized formulas and policies to calculate permitted downtime (e.g., 99.9% availability), helping teams decide when to freeze features to focus on reliability.

What is the difference between an SLI and an SLO?

An SLI (Service Level Indicator) is a specific measurement of service performance, like latency or availability, while an SLO (Service Level Objective) is the target value or range you want that measurement to stay within.

SRE SLO Implementation

Name: SRE SLO Implementation
Author: HermeticOrmus

byHermeticOrmus

분석 및 모니터링

Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to establish measurable reliability targets and error budgets.

소개

The SRE SLO Implementation skill provides a comprehensive framework for Site Reliability Engineering practices by bridging the gap between raw metrics and business objectives. It enables Claude to help developers define meaningful SLIs, set realistic SLO targets, and manage error budgets using Prometheus and Grafana. By implementing multi-window burn rate alerts and standardized reporting, this skill helps teams balance service reliability with development velocity, ensuring that performance issues are caught before they impact user experience.

주요 기능

Prometheus recording and alerting rule generation
Grafana dashboard structure and query templates
SLI/SLO/SLA hierarchy mapping and definitions
Error budget calculation and policy templates
Multi-window burn rate monitoring configurations
0 GitHub stars

사용 사례

Implementing automated alerting based on error budget burn rates
Establishing reliability targets for a new production microservice
Balancing feature development velocity with site reliability requirements

소개

주요 기능

Prometheus recording and alerting rule generation
Grafana dashboard structure and query templates
SLI/SLO/SLA hierarchy mapping and definitions
Error budget calculation and policy templates
Multi-window burn rate monitoring configurations
0 GitHub stars

사용 사례

Implementing automated alerting based on error budget burn rates
Establishing reliability targets for a new production microservice
Balancing feature development velocity with site reliability requirements