Can I use this for designing API Gateways?

Absolutely. It includes patterns for standard API Gateways and Backend-for-Frontend (BFF) architectures to optimize client-service communication and handle cross-cutting concerns.

What resilience strategies are supported?

The skill provides implementation logic and best practices for Circuit Breakers, Bulkheads, Timeouts, and Retries with exponential backoff to prevent cascading failures.

How does this skill assist in decomposing a monolith?

It provides specific frameworks for identifying bounded contexts and service boundaries based on business capabilities, helping you extract services without creating a 'distributed monolith'.

Does it include patterns for data consistency?

Yes, it covers advanced data management patterns like Database-per-Service and the Saga pattern (both choreography and orchestration) to maintain consistency across distributed databases.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: travisjneuman

bytravisjneuman

API Development

Designs and implements resilient distributed systems using industry-leading microservices patterns and architectural best practices.

About

This skill equips Claude with a robust framework for architecting scalable, independently deployable microservices. It provides deep guidance on Domain-Driven Design (DDD) to define service boundaries, implements various communication protocols like gRPC and Event Streaming, and manages data consistency via Saga patterns. Ideal for developers refactoring monoliths or building distributed systems from scratch, it ensures your architecture incorporates essential resilience patterns like Circuit Breakers and Bulkheads alongside comprehensive observability strategies for production-grade reliability.

Key Features

Observability frameworks for distributed tracing, metrics, and health monitoring
Distributed data management including Database-per-Service and Saga patterns
0 GitHub stars
Synchronous and asynchronous communication patterns (REST, gRPC, Kafka, RabbitMQ)
Resilience patterns including Circuit Breakers, Bulkheads, Retries, and Timeouts
Domain-Driven Design (DDD) for defining clear bounded contexts and service boundaries

Use Cases

Architecting event-driven systems for high scalability and loose coupling
Implementing fault-tolerant service communication to prevent cascading system failures
Decomposing legacy monolithic applications into manageable distributed services

About

Key Features

Observability frameworks for distributed tracing, metrics, and health monitoring
Distributed data management including Database-per-Service and Saga patterns
0 GitHub stars
Synchronous and asynchronous communication patterns (REST, gRPC, Kafka, RabbitMQ)
Resilience patterns including Circuit Breakers, Bulkheads, Retries, and Timeouts
Domain-Driven Design (DDD) for defining clear bounded contexts and service boundaries

Use Cases

Architecting event-driven systems for high scalability and loose coupling
Implementing fault-tolerant service communication to prevent cascading system failures
Decomposing legacy monolithic applications into manageable distributed services