Does this skill work with event-driven architectures?

Absolutely. It covers asynchronous communication patterns including Pub/Sub, message queues, and event streaming to ensure loose coupling between services.

Can it help with preventing cascading service failures?

Yes, it includes implementation patterns for Circuit Breakers, Bulkheads, and Retries with backoff to isolate failures and maintain system stability.

What service decomposition strategies does this skill support?

The skill provides patterns for decomposing systems by business capability, subdomains through Domain-Driven Design (DDD), and the Strangler Fig pattern for gradual monolith migration.

How does it handle distributed transactions?

It implements the Saga pattern, which manages distributed transactions using a sequence of local transactions and compensating actions to ensure eventual consistency.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: drgaciw

bydrgaciw

API Development

Designs resilient distributed systems using microservices decomposition, event-driven communication, and fault-tolerance patterns.

About

This skill empowers developers to architect robust microservices ecosystems by providing deep guidance on service boundary definition, inter-service communication strategies, and distributed data management. Whether you are decomposing a legacy monolith using the Strangler Fig pattern or building a cloud-native application from scratch, this skill helps implement industry-standard resilience patterns like Circuit Breakers and Sagas to ensure high availability and eventual consistency across distributed transactions.

Key Features

Asynchronous event-driven communication patterns with Kafka and RabbitMQ
Distributed transaction management via Orchestrated Saga patterns
API Gateway patterns for request routing and service aggregation
Service decomposition strategies using Business Capability and Domain-Driven Design (DDD)
Fault-tolerance implementation including Circuit Breakers and Exponential Backoff
0 GitHub stars

Use Cases

Building high-availability distributed systems that require eventual consistency
Decomposing a legacy monolithic application into scalable, independent microservices
Implementing robust inter-service communication for complex e-commerce or fintech platforms

About

Key Features

Asynchronous event-driven communication patterns with Kafka and RabbitMQ
Distributed transaction management via Orchestrated Saga patterns
API Gateway patterns for request routing and service aggregation
Service decomposition strategies using Business Capability and Domain-Driven Design (DDD)
Fault-tolerance implementation including Circuit Breakers and Exponential Backoff
0 GitHub stars

Use Cases

Building high-availability distributed systems that require eventual consistency
Decomposing a legacy monolithic application into scalable, independent microservices
Implementing robust inter-service communication for complex e-commerce or fintech platforms