What are SLIs, SLOs, and SLAs in this context?

SLIs are specific metrics like latency; SLOs are target values for those metrics (e.g., 99.9% uptime); and SLAs are the formal agreements with users regarding those targets.

How does this skill help manage error budgets?

It helps calculate the difference between your SLO targets and actual performance, allowing teams to decide when to focus on stability versus new features.

Can I use this for existing legacy services?

Yes, the skill can analyze existing performance data to help you establish baseline SLIs and realistic SLOs for legacy infrastructure.

Does this skill integrate with external monitoring tools?

The skill provides the framework and logic for metrics that can be integrated with tools like Prometheus, Datadog, or CloudWatch for automated tracking.

Service Reliability Tracking

Name: Service Reliability Tracking
Author: BbgnsurfTech

byBbgnsurfTech

•

Analytics & Monitoring

Defines and monitors service level objectives, indicators, and agreements to ensure system reliability and performance.

About

The Service Reliability Tracking skill empowers developers and Site Reliability Engineers (SREs) to establish rigorous monitoring standards for their applications. By guiding users through the systematic creation of SLIs, SLOs, and SLAs, it transforms abstract reliability goals into measurable technical metrics. This skill helps calculate error budgets, identify performance bottlenecks early, and ensures that technical performance remains aligned with business expectations, making it an essential tool for maintaining high-availability services.

Key Features

Assisted target setting for Service Level Objectives (SLOs)
Performance visualization and proactive reliability analysis
Formalization of customer-facing Service Level Agreements (SLAs)
3 GitHub stars
Error budget calculation and management guidance
Automated SLI definition for availability, latency, and error rates

Use Cases

Establishing performance benchmarks for a new payment processing microservice
Monitoring database uptime and query latency against historical targets
Determining feature deployment velocity based on remaining error budgets

About

Key Features

Assisted target setting for Service Level Objectives (SLOs)
Performance visualization and proactive reliability analysis
Formalization of customer-facing Service Level Agreements (SLAs)
3 GitHub stars
Error budget calculation and management guidance
Automated SLI definition for availability, latency, and error rates

Use Cases

Establishing performance benchmarks for a new payment processing microservice
Monitoring database uptime and query latency against historical targets
Determining feature deployment velocity based on remaining error budgets