How does this skill help with alert fatigue?

It implements multi-window burn rate alerts which only trigger when error budget consumption is high enough to threaten the SLO, significantly reducing noise from transient spikes.

How does an error budget help development teams?

An error budget provides a clear, data-driven threshold for when a team should pivot focus from building new features to improving service reliability, helping manage the trade-off between speed and stability.

Can I use this with Prometheus and Grafana?

Yes, the skill provides specific Prometheus Query Language (PromQL) examples for recording rules and alerting, as well as a recommended structure for Grafana dashboards.

What is the difference between an SLI and an SLO?

An SLI (Service Level Indicator) is a quantitative measure of some aspect of the level of service provided, while an SLO (Service Level Objective) is a target value or range of values for a service level that is measured by an SLI.

SRE SLO Implementation Framework

Name: SRE SLO Implementation Framework
Author: carloscroc

bycarloscroc

Analíticas y Monitorización

Establishes measurable reliability targets through SLIs, SLOs, and error budgets to balance operational stability with feature velocity.

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This skill provides a comprehensive framework for implementing Site Reliability Engineering (SRE) principles within your infrastructure. It guides users through the process of defining Service Level Indicators (SLIs), setting meaningful Service Level Objectives (SLOs), and managing error budgets to inform development priorities. By utilizing Prometheus recording rules and Grafana dashboard structures, this skill helps teams transition from reactive firefighting to proactive, data-driven reliability management, ensuring that services meet user expectations without sacrificing innovation speed.

Características Principales

Error budget policy templates for prioritizing reliability vs. feature work.
Defined SLI/SLO/SLA hierarchy for clear internal and external communication.
Multi-window burn rate alerting to reduce alert noise and identify critical budget consumption.
Standardized Grafana dashboard structures for visualizing real-time compliance.
Pre-configured Prometheus recording rules for availability and latency metrics.
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Casos de Uso

Creating automated alerts based on error budget burn rates instead of static thresholds.
Implementing SRE practices for a production-grade cloud service.
Establishing data-driven thresholds for feature freezes when reliability targets are missed.

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Características Principales

Error budget policy templates for prioritizing reliability vs. feature work.
Defined SLI/SLO/SLA hierarchy for clear internal and external communication.
Multi-window burn rate alerting to reduce alert noise and identify critical budget consumption.
Standardized Grafana dashboard structures for visualizing real-time compliance.
Pre-configured Prometheus recording rules for availability and latency metrics.
0 GitHub stars

Casos de Uso

Creating automated alerts based on error budget burn rates instead of static thresholds.
Implementing SRE practices for a production-grade cloud service.
Establishing data-driven thresholds for feature freezes when reliability targets are missed.