What metrics can this Claude Code skill track?

It helps track critical Service Level Indicators (SLIs) such as system availability, request latency, error rates, and throughput.

Can I use it for existing production services?

Yes, it can be used to analyze current performance data and help establish baseline SLIs and realistic SLO targets for legacy systems.

How does this skill help with Error Budgets?

It calculates error budgets based on your defined SLOs, helping your team decide whether to focus on new features or reliability improvements.

Does it integrate with DevOps workflows?

Absolutely. It provides a structured approach to reliability that can be integrated into your CI/CD pipelines and monitoring dashboards.

Service Reliability Tracker

Name: Service Reliability Tracker
Author: BbgnsurfTech

byBbgnsurfTech

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分析与监控

Defines and monitors service reliability metrics including SLAs, SLIs, and SLOs to ensure high system performance and uptime.

关于

This skill empowers developers and Site Reliability Engineers (SREs) to establish a robust reliability framework within their projects by guiding the creation of Service Level Agreements (SLAs), Indicators (SLIs), and Objectives (SLOs). By automating the definition of performance targets for latency, availability, and error rates, it helps teams proactively manage service health, calculate error budgets, and align technical performance with business requirements through structured monitoring and data-driven insights.

主要功能

Assisted Service Level Objective (SLO) target setting and benchmarking
Error budget calculation for data-driven release management
1 GitHub stars
Guided definition of Service Level Indicators (SLIs) for latency and availability
Formalization of customer-facing Service Level Agreements (SLAs)
Performance analysis against defined reliability targets

使用场景

Establishing performance benchmarks for a new microservice
Monitoring database availability and latency trends over time
Calculating remaining error budgets before deploying major updates

关于

主要功能

Assisted Service Level Objective (SLO) target setting and benchmarking
Error budget calculation for data-driven release management
1 GitHub stars
Guided definition of Service Level Indicators (SLIs) for latency and availability
Formalization of customer-facing Service Level Agreements (SLAs)
Performance analysis against defined reliability targets

使用场景

Establishing performance benchmarks for a new microservice
Monitoring database availability and latency trends over time
Calculating remaining error budgets before deploying major updates