How does this skill help with monolithic decomposition?

It provides proven strategies like the Strangler Fig pattern and decomposition by business capability to help you incrementally extract services from a monolith without downtime.

Does it support event-driven architecture?

Yes, it includes detailed patterns for asynchronous communication using message brokers like Kafka and RabbitMQ, focusing on pub/sub and streaming models.

What resilience patterns are included?

It covers essential patterns such as Circuit Breakers to stop cascading failures, Retries with Exponential Backoff for transient errors, and Bulkheads to isolate resources.

How are distributed transactions managed?

The skill implements the Saga pattern, which coordinates local transactions across multiple services and provides compensation logic to maintain eventual consistency.

Microservices Design Patterns

Name: Microservices Design Patterns
Author: HermeticOrmus

byHermeticOrmus

API 개발

Architects resilient distributed systems using service decomposition, event-driven communication, and data management patterns.

소개

The Microservices Patterns skill equips developers with the architectural blueprints needed to build, scale, and maintain complex distributed systems. It provides expert guidance on decomposing monolithic applications using Domain-Driven Design (DDD), implementing robust inter-service communication via REST or Kafka, and managing distributed data consistency through Saga patterns. By integrating resilience strategies like circuit breakers and retries, this skill helps ensure that your microservices architecture remains stable and fault-tolerant under high load.

주요 기능

Distributed transaction management using the Saga pattern for eventual consistency
Resilience patterns including Circuit Breakers, Retries with Backoff, and Bulkheads
0 GitHub stars
Service decomposition strategies using Business Capability and DDD Subdomains
API Gateway and service discovery configuration for centralized entry points
Implementation patterns for synchronous REST/gRPC and asynchronous event-driven messaging

사용 사례

Designing a high-scale event-driven system using Kafka or RabbitMQ
Decomposing a legacy monolithic application into independent microservices
Implementing fault-tolerant service communication to prevent cascading system failures

소개

주요 기능

Distributed transaction management using the Saga pattern for eventual consistency
Resilience patterns including Circuit Breakers, Retries with Backoff, and Bulkheads
0 GitHub stars
Service decomposition strategies using Business Capability and DDD Subdomains
API Gateway and service discovery configuration for centralized entry points
Implementation patterns for synchronous REST/gRPC and asynchronous event-driven messaging

사용 사례

Designing a high-scale event-driven system using Kafka or RabbitMQ
Decomposing a legacy monolithic application into independent microservices
Implementing fault-tolerant service communication to prevent cascading system failures