Does this skill include Prometheus configurations?

Yes, it includes ready-to-use Prometheus recording rules for common SLIs and alerting rules for multi-window burn rate detection.

How does this skill help manage error budgets?

This skill provides mathematical formulas and policy templates that help teams calculate their remaining error budget and define specific actions (like freezing features) when the budget is exhausted.

What is the difference between an SLI and an SLO?

An SLI (Service Level Indicator) is the actual quantitative measurement of a service's performance, such as latency or availability. An SLO (Service Level Objective) is the target value or range of values for that SLI that the team aims to achieve.

Why use multi-window burn rate alerts?

Multi-window alerts combine short-term and long-term windows to reduce false positives while ensuring critical reliability issues are detected quickly, significantly reducing alert fatigue.

SLO Implementation Framework

Name: SLO Implementation Framework
Author: HermeticOrmus

byHermeticOrmus

Analíticas y Monitorización

Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and automated alerting.

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The SLO Implementation skill provides a comprehensive framework for Site Reliability Engineering (SRE) practices, helping teams establish measurable reliability targets that balance innovation velocity with system stability. It guides users through the creation of SLI/SLO hierarchies, provides standardized Prometheus recording rules, and establishes error budget policies that inform deployment decisions. By leveraging multi-window burn rate alerts and structured review processes, this skill enables organizations to move from reactive monitoring to a proactive, user-centric reliability strategy.

Características Principales

Standardized SLI/SLO/SLA hierarchy and definition templates
Structured templates for weekly and monthly reliability reviews
Automated error budget calculation and governance policies
0 GitHub stars
Pre-configured Prometheus recording rules for availability and latency
Multi-window burn rate alerting to minimize monitoring noise

Casos de Uso

Establishing reliability targets for cloud-native microservices
Implementing SRE error budget policies to manage deployment risks
Automating SLO-based alerting in Prometheus and Grafana stacks

Acerca de

Características Principales

Standardized SLI/SLO/SLA hierarchy and definition templates
Structured templates for weekly and monthly reliability reviews
Automated error budget calculation and governance policies
0 GitHub stars
Pre-configured Prometheus recording rules for availability and latency
Multi-window burn rate alerting to minimize monitoring noise

Casos de Uso

Establishing reliability targets for cloud-native microservices
Implementing SRE error budget policies to manage deployment risks
Automating SLO-based alerting in Prometheus and Grafana stacks