Can it help implement distributed transactions?

Yes, it offers implementation guidance for the Saga pattern, including compensating actions to maintain eventual consistency across multiple service-specific databases.

What resilience patterns are included?

The skill covers essential patterns for distributed reliability, such as Circuit Breakers to prevent cascading failures and Retries with exponential backoff for transient errors.

How does this skill help with monolithic decomposition?

It provides specific strategies like the Strangler Fig pattern and Domain-Driven Design to help identify service boundaries and migrate functionality incrementally without downtime.

Does it support both synchronous and asynchronous communication?

Yes, it provides patterns for synchronous REST/gRPC communication as well as asynchronous messaging using Pub/Sub and event streaming architectures.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: HermeticOrmus

byHermeticOrmus

Infraestructura en la Nube

Implements robust distributed systems using proven patterns for service decomposition, event-driven communication, and system resilience.

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This skill equips Claude with specialized knowledge for designing and implementing complex microservices architectures. It covers critical strategies such as Domain-Driven Design (DDD) for defining service boundaries, event-driven communication using Kafka or RabbitMQ, and distributed data management via the Saga pattern. By providing patterns for fault tolerance—including Circuit Breakers, Retries, and Bulkheads—it helps developers transition from monolithic architectures to scalable, decoupled, and resilient cloud-native systems.

Características Principales

API Gateway patterns for request aggregation and service routing
Implementation of asynchronous event-driven communication patterns
Fault tolerance patterns including Circuit Breakers and Exponential Backoff
Service decomposition using Domain-Driven Design (DDD) and business capabilities
0 GitHub stars
Distributed transaction management using Saga orchestration and choreography

Casos de Uso

Designing event-driven architectures for high-scale messaging and eventual consistency
Building resilient backend services that gracefully handle partial system failures
Gradually decomposing a legacy monolith into microservices using the Strangler Fig pattern

Acerca de

Características Principales

API Gateway patterns for request aggregation and service routing
Implementation of asynchronous event-driven communication patterns
Fault tolerance patterns including Circuit Breakers and Exponential Backoff
Service decomposition using Domain-Driven Design (DDD) and business capabilities
0 GitHub stars
Distributed transaction management using Saga orchestration and choreography

Casos de Uso

Designing event-driven architectures for high-scale messaging and eventual consistency
Building resilient backend services that gracefully handle partial system failures
Gradually decomposing a legacy monolith into microservices using the Strangler Fig pattern