What are microservices patterns?

Microservices patterns are reusable solutions to common challenges in distributed architecture, such as service discovery, inter-service communication, and data consistency.

How are distributed transactions handled?

This skill implements the Saga pattern, which uses a sequence of local transactions and compensating actions to maintain eventual consistency across multiple services.

Does this skill support asynchronous messaging?

Yes, it includes patterns for event-driven communication using Kafka, RabbitMQ, and Pub/Sub models to ensure loose coupling between services.

How does this skill help with monolith decomposition?

It provides guided strategies like the Strangler Fig pattern and DDD-based decomposition to systematically extract business logic from a monolith into isolated services.

What resilience patterns are included?

The skill provides implementation guidance for Circuit Breakers to prevent cascading failures, Retries with backoff for transient errors, and Bulkheads for resource isolation.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: HermeticOrmus

byHermeticOrmus

API Development

Designs scalable and resilient distributed systems using industry-standard service boundaries, event-driven communication, and data management patterns.

About

This skill provides specialized guidance for engineering high-performance microservices architectures. It enables Claude to assist developers in decomposing monolithic applications into manageable services, defining clear domain boundaries using Domain-Driven Design (DDD), and implementing critical patterns like Saga for distributed transactions, Circuit Breakers for fault tolerance, and API Gateways for request orchestration. Whether you are building a new system or migrating a legacy stack, this skill ensures best practices in data consistency, service discovery, and asynchronous messaging are applied to create robust, decoupled backends.

Key Features

API Gateway orchestration and request aggregation for simplified client access
0 GitHub stars
Service decomposition strategies using Business Capability and DDD Subdomain mapping
Distributed data management patterns including Database-per-Service and Saga
Fault tolerance patterns like Circuit Breaker, Exponential Backoff, and Bulkheads
Implementation of synchronous REST/gRPC and asynchronous event-driven communication

Use Cases

Decomposing a legacy monolith into independent, scalable microservices
Implementing fault-tolerant patterns to prevent cascading failures in distributed systems
Designing event-driven architectures with message brokers like Kafka or RabbitMQ

About

Key Features

API Gateway orchestration and request aggregation for simplified client access
0 GitHub stars
Service decomposition strategies using Business Capability and DDD Subdomain mapping
Distributed data management patterns including Database-per-Service and Saga
Fault tolerance patterns like Circuit Breaker, Exponential Backoff, and Bulkheads
Implementation of synchronous REST/gRPC and asynchronous event-driven communication

Use Cases

Decomposing a legacy monolith into independent, scalable microservices
Implementing fault-tolerant patterns to prevent cascading failures in distributed systems
Designing event-driven architectures with message brokers like Kafka or RabbitMQ