Can I use this for existing legacy services?

Yes, the skill can help you audit current performance and establish new benchmarks and reliability targets for existing infrastructure.

Does this skill replace my current monitoring tools?

No, it complements them. It provides the structured framework and logic to interpret the data collected by tools like Prometheus, Datadog, or CloudWatch.

How does this skill help manage error budgets?

It assists in calculating the remaining 'budget' for service downtime or errors based on your SLOs, helping you decide when to slow down deployments to focus on stability.

What is the difference between SLIs, SLOs, and SLAs in this skill?

SLIs (Indicators) are the specific metrics measured, SLOs (Objectives) are the internal targets set for those metrics, and SLAs (Agreements) are the external commitments made to users.

Service Reliability Tracker

Name: Service Reliability Tracker
Author: jeremylongshore

byjeremylongshore

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883

Analytics & Monitoring

Establishes and monitors Service Level Agreements, Objectives, and Indicators to ensure optimal system performance and reliability.

About

The Service Reliability Tracker skill empowers developers and SREs to implement a rigorous reliability framework by automating the definition and tracking of SLIs, SLOs, and SLAs. It provides structured guidance for selecting meaningful metrics—such as latency, availability, and throughput—while helping teams calculate error budgets and visualize performance against established targets. This skill is essential for maintaining high service quality and facilitating data-driven decisions between feature velocity and system stability.

Key Features

Structured SLO target setting with performance tracking
Integration support for monitoring and alerting workflows
883 GitHub stars
Error budget calculation and management guidance
Automated SLI definition for latency, availability, and error rates
Formalized SLA documentation for customer-facing commitments

Use Cases

Monitoring database availability and calculating uptime percentages
Managing error budgets to balance rapid deployment with system uptime
Defining performance objectives and metrics for a new microservice

About

Key Features

Structured SLO target setting with performance tracking
Integration support for monitoring and alerting workflows
883 GitHub stars
Error budget calculation and management guidance
Automated SLI definition for latency, availability, and error rates
Formalized SLA documentation for customer-facing commitments

Use Cases

Monitoring database availability and calculating uptime percentages
Managing error budgets to balance rapid deployment with system uptime
Defining performance objectives and metrics for a new microservice