Can I use this for capacity planning?

Yes, it includes utilization tracking formulas and growth projection models to help you calculate exactly when you need to scale your infrastructure based on QPS trends.

Which reliability patterns are included in this skill?

The skill includes implementation logic for Circuit Breakers, Exponential Backoff with Jitter, Token Bucket Rate Limiting, and Bulkhead patterns to prevent cascading failures.

Does it support testing system resilience?

Absolutely. It provides configurations for k6 load testing and fault injection snippets for chaos engineering to test how your system handles latency and service failures.

How does this skill help with SLO management?

It provides standardized templates for defining Service Level Indicators (SLIs) and Objectives (SLOs), including specific Prometheus queries to measure and alert on error budget burn rates.

SRE & System Reliability

Name: SRE & System Reliability
Author: TheBushidoCollective

byTheBushidoCollective

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Analytics & Monitoring

Implements SRE principles and reliability patterns to build scalable, fault-tolerant distributed systems.

About

This skill equips Claude with Site Reliability Engineering (SRE) expertise, focusing on the practical application of SLOs, SLIs, and Error Budgets. It provides standardized templates for reliability documentation and ready-to-use implementation patterns for critical resilience mechanisms like circuit breakers, exponential backoff, and bulkheads. Whether you are architecting a new distributed system or hardening an existing one, this skill ensures your infrastructure is observable, scalable, and designed for failure.

Key Features

Graceful degradation strategies for high-traffic services
72 GitHub stars
SLO and SLI definition templates with Prometheus query examples
Error budget tracking and burn rate alerting logic
Resilience patterns including Circuit Breakers and Bulkheads
Capacity planning and k6 load testing configurations

Use Cases

Automating capacity planning and growth projections for cloud infrastructure
Hardening distributed systems against cascading failures using reliability patterns
Designing a comprehensive monitoring and alerting strategy for microservices

About

Key Features

Graceful degradation strategies for high-traffic services
72 GitHub stars
SLO and SLI definition templates with Prometheus query examples
Error budget tracking and burn rate alerting logic
Resilience patterns including Circuit Breakers and Bulkheads
Capacity planning and k6 load testing configurations

Use Cases

Automating capacity planning and growth projections for cloud infrastructure
Hardening distributed systems against cascading failures using reliability patterns
Designing a comprehensive monitoring and alerting strategy for microservices