How are distributed rate limits implemented?

It utilizes Redis-backed algorithms like Token Bucket and Sliding Window using atomic Lua scripts to ensure precise counting across distributed nodes.

How does this skill handle API resilience and fault tolerance?

It provides patterns for circuit breakers (Closed/Open/Half-Open states), exponential backoff with jitter, and bulkhead isolation to maintain system stability.

What distributed locking mechanisms are supported by this skill?

The skill supports Redis (Redlock), PostgreSQL advisory locks, and fencing tokens to ensure exclusive resource access across multiple service instances.

Is this skill suitable for small MVP projects or simple websites?

Many patterns like Event Sourcing or Saga orchestration may be overkill for simple projects; the skill includes guidance on when to use simpler, in-process alternatives.

Does it support edge computing runtimes like Cloudflare Workers?

Yes, it includes specific rules for edge environments including V8 isolate constraints, geo-routing, and edge-side caching strategies.

Distributed Systems Patterns

Name: Distributed Systems Patterns
Author: yonatangross

byyonatangross

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116

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API開発

Implements robust distributed architecture patterns including locking, resilience, idempotency, and rate limiting for scalable backend systems.

This skill provides a comprehensive toolkit for building reliable, production-grade distributed systems within Claude Code. It offers standardized implementation patterns for critical infrastructure challenges such as distributed locking with Redis or PostgreSQL, fault tolerance via circuit breakers and retries, request idempotency, and sophisticated rate limiting. By integrating proven architectural standards like Saga orchestration, CQRS, and Event Sourcing, it helps developers prevent race conditions, handle partial failures gracefully, and ensure system consistency across distributed environments and edge runtimes.

主な機能

01Event-driven architecture support for CQRS, Event Sourcing, and Transactional Outbox patterns.

02Idempotency strategies using deterministic keys, request deduplication, and database-backed persistence.

03Fault tolerance mechanisms including circuit breakers, exponential backoff with jitter, and bulkhead isolation.

04Advanced rate limiting algorithms like Token Bucket and Sliding Window using atomic Redis Lua scripts.

05116 GitHub stars

06Distributed locking patterns for Redis (Redlock) and PostgreSQL advisory locks with fencing tokens.

ユースケース

01Ensuring 'exactly-once' processing in payment systems and message consumers using robust idempotency keys.

02Implementing resilient API integrations with external services to prevent cascading failures during outages.

03Building high-availability microservices that require coordinated access to shared resources across multiple instances.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit distributed-systems

For use in Claude.ai and ChatGPT

Download Skill