Does it provide alerting configurations?

Yes, it includes advanced multi-window burn rate alerting rules for Prometheus that help distinguish between fast and slow error budget consumption to reduce alert fatigue.

What is an error budget policy?

It is a set of agreed-upon actions based on remaining reliability. For example, if 100% of the budget remains, development continues normally; if 0% remains, feature work freezes to focus exclusively on reliability.

What metrics does this skill help monitor?

The skill focuses on critical Service Level Indicators (SLIs) including availability (successful vs. total requests), latency (requests within specific time thresholds), and durability (successful vs. total writes).

Can I use this for non-Prometheus systems?

While the specific code examples use PromQL and YAML for Prometheus/Grafana, the underlying logic, hierarchy, and best practices are applicable to any observability stack like Datadog or New Relic.

SLO Implementation & SRE Monitoring

Name: SLO Implementation & SRE Monitoring
Author: yusoofsh

byyusoofsh

Analytics & Monitoring

Defines and implements Service Level Indicators and Objectives with error budgets and alerting for site reliability engineering.

About

This skill provides a comprehensive framework for establishing measurable reliability targets using SRE best practices. It helps developers and DevOps teams define Service Level Indicators (SLIs), set Service Level Objectives (SLOs), and calculate error budgets to balance innovation velocity with system stability. By providing ready-to-use Prometheus recording rules, multi-window burn rate alerting configurations, and Grafana dashboard structures, it streamlines the process of transforming raw metrics into actionable reliability insights and automated alerting policies.

Key Features

Automated error budget calculation and policy templates
Comprehensive SLI/SLO/SLA hierarchy modeling
Pre-configured Prometheus recording rules for availability and latency
Multi-window error budget burn rate alerting logic
0 GitHub stars
Structured Grafana dashboard layouts for SLO visualization

Use Cases

Establishing reliability targets for new or existing microservices
Converting noisy raw alerts into high-signal, user-perceived reliability alerts
Implementing error-budget-based deployment policies to reduce production incidents

About

Key Features

Automated error budget calculation and policy templates
Comprehensive SLI/SLO/SLA hierarchy modeling
Pre-configured Prometheus recording rules for availability and latency
Multi-window error budget burn rate alerting logic
0 GitHub stars
Structured Grafana dashboard layouts for SLO visualization

Use Cases

Establishing reliability targets for new or existing microservices
Converting noisy raw alerts into high-signal, user-perceived reliability alerts
Implementing error-budget-based deployment policies to reduce production incidents