Can it help prevent system-wide outages?

Absolutely. It includes patterns for fault tolerance such as Circuit Breakers, Bulkheads, and Exponential Backoff to isolate failures and prevent them from cascading.

How does it handle distributed transactions?

The skill implements the Saga pattern, providing logic for both orchestration and compensation actions to maintain data consistency across distributed databases.

Does it support event-driven communication?

Yes, it includes implementation patterns for asynchronous messaging and pub/sub models using technologies like Kafka and RabbitMQ.

How does this skill help with monolith decomposition?

It provides standardized strategies like the Strangler Fig pattern and Domain-Driven Design (DDD) to identify service boundaries and gradually extract logic into independent services.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: carloscroc

bycarloscroc

Desarrollo de API

Designs scalable and resilient microservices architectures using proven industry patterns for distributed systems.

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This skill provides comprehensive guidance for architecting distributed systems by implementing essential microservices patterns. It helps developers move beyond monolithic structures by defining clear service boundaries, establishing robust inter-service communication via REST or event-driven models, and ensuring system reliability through resilience patterns like circuit breakers and sagas. Whether you are decomposing a legacy application or building a cloud-native platform from scratch, this skill provides the implementation logic and architectural best practices needed for production-grade backends.

Características Principales

Service decomposition based on business capabilities and Domain-Driven Design (DDD)
Implementation of event-driven communication using Kafka and message queues
Resilience engineering including circuit breakers, retries, and bulkhead isolation
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Distributed data management with the Saga pattern for eventual consistency
API Gateway patterns for request aggregation and centralized routing

Casos de Uso

Decomposing a legacy monolithic application into scalable microservices
Designing a high-throughput, event-driven e-commerce platform
Implementing fault-tolerant distributed transactions across multiple databases

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Características Principales

Service decomposition based on business capabilities and Domain-Driven Design (DDD)
Implementation of event-driven communication using Kafka and message queues
Resilience engineering including circuit breakers, retries, and bulkhead isolation
0 GitHub stars
Distributed data management with the Saga pattern for eventual consistency
API Gateway patterns for request aggregation and centralized routing

Casos de Uso

Decomposing a legacy monolithic application into scalable microservices
Designing a high-throughput, event-driven e-commerce platform
Implementing fault-tolerant distributed transactions across multiple databases