Does this integrate with existing monitoring tools?

The skill provides the logic and structure to define targets which can then be integrated with tools like Prometheus, Datadog, or Grafana for automated data collection.

Can this skill help manage error budgets?

Yes, it assists in calculating and tracking error budgets based on your SLOs, helping teams decide when to focus on reliability versus new feature development.

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

SLIs (Service Level Indicators) are the specific metrics being measured, such as response time or error rate. SLOs (Service Level Objectives) are the target values or ranges you set for those indicators, such as maintaining 99.9% uptime.

Is this skill suitable for non-technical stakeholders?

While it focuses on technical metrics, it helps bridge the gap by translating technical SLIs into business-friendly SLAs that clearly communicate service health.

Service Reliability Tracker

Name: Service Reliability Tracker
Author: intent-solutions-io

byintent-solutions-io

Analytics & Monitoring

Defines and monitors Service Level Agreements (SLAs), Indicators (SLIs), and Objectives (SLOs) to ensure high system reliability and performance.

About

The Service Reliability Tracker skill provides a structured framework for developers to establish and manage service reliability metrics within their workflow. It guides users through the process of defining critical Service Level Indicators (SLIs) like latency and throughput, setting achievable Service Level Objectives (SLOs), and formalizing customer-facing SLAs. By automating the tracking of these metrics and calculating error budgets, the skill enables proactive identification of performance regressions and ensures that services consistently meet business requirements and user expectations.

Key Features

Real-time error budget calculation and monitoring
Guided definition of SLIs including availability, latency, and error rates
0 GitHub stars
Automated SLO target setting for specific performance benchmarks
Formalization of customer-facing SLAs based on internal objectives
Integration-ready patterns for connecting with monitoring and alerting tools

Use Cases

Balancing development velocity and system stability using error budget analysis
Visualizing database availability against predefined performance targets
Establishing reliability metrics for a newly launched microservice

About

Key Features

Real-time error budget calculation and monitoring
Guided definition of SLIs including availability, latency, and error rates
0 GitHub stars
Automated SLO target setting for specific performance benchmarks
Formalization of customer-facing SLAs based on internal objectives
Integration-ready patterns for connecting with monitoring and alerting tools

Use Cases

Balancing development velocity and system stability using error budget analysis
Visualizing database availability against predefined performance targets
Establishing reliability metrics for a newly launched microservice