How does this skill help with monolithic decomposition?

It provides specific patterns like the Strangler Fig and Business Capability mapping to help you incrementally extract services from a monolith without high-risk 'big bang' rewrites.

Does it include code for distributed transactions?

It provides implementation guidance for the Saga pattern, which manages complex workflows across multiple services using compensating transactions.

Can I use this for event-driven system design?

Yes, the skill includes patterns for Kafka, message queues, and pub/sub architectures, focusing on loose coupling and eventual consistency.

What resilience patterns are supported?

The skill covers industry-standard patterns including Circuit Breakers, Retries with exponential backoff, and Bulkheads to ensure system-wide availability.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: amurata

byamurata

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API Development

Architects resilient distributed systems using proven service decomposition, communication, and data management patterns.

About

The Microservices Architecture Patterns skill provides expert guidance for designing and implementing scalable distributed systems. It covers critical architectural decisions including service decomposition using Domain-Driven Design (DDD), implementing the Strangler Fig pattern for monolithic migration, and managing distributed data through Sagas. Developers can leverage this skill to implement robust inter-service communication using both synchronous REST/gRPC and asynchronous event-driven patterns with Kafka or RabbitMQ, while ensuring system reliability through resilience patterns like circuit breakers, retries, and bulkheads.

Key Features

Service decomposition strategies based on business capabilities and DDD
Resilience engineering with Circuit Breakers and Retry logic
3 GitHub stars
Implementation patterns for synchronous and event-driven communication
API Gateway patterns for service aggregation and routing
Distributed transaction management via the Saga pattern

Use Cases

Decomposing complex monolithic applications into independent microservices
Implementing resilience patterns to prevent cascading failures in distributed environments
Building event-driven architectures for high-scale asynchronous processing

About

Key Features

Service decomposition strategies based on business capabilities and DDD
Resilience engineering with Circuit Breakers and Retry logic
3 GitHub stars
Implementation patterns for synchronous and event-driven communication
API Gateway patterns for service aggregation and routing
Distributed transaction management via the Saga pattern

Use Cases

Decomposing complex monolithic applications into independent microservices
Implementing resilience patterns to prevent cascading failures in distributed environments
Building event-driven architectures for high-scale asynchronous processing