Does it include guidance for Kubernetes and Service Mesh?

Absolutely. It covers container orchestration, health checks, and service mesh implementations like Istio or Linkerd for advanced traffic management, security, and observability.

How does this skill help with monolith decomposition?

It uses domain-driven design (DDD) principles to identify bounded contexts and logical service boundaries, preventing the creation of 'distributed monoliths' and ensuring service autonomy.

Which communication protocols does it support?

The skill provides architectural patterns for both synchronous (REST, gRPC) and asynchronous (Kafka, RabbitMQ) messaging, helping you choose the right protocol for each integration point.

Can it help with data consistency across services?

Yes, it specializes in implementing distributed transaction patterns like Sagas, CQRS, and Event Sourcing to maintain data integrity in a database-per-service environment.

Microservices Architect

Name: Microservices Architect
Author: Jeffallan

byJeffallan

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API Development

Designs scalable, cloud-native distributed systems using domain-driven design, resilience patterns, and service mesh technologies.

About

The Microservices Architect skill empowers Claude to act as a senior distributed systems expert, facilitating the transition from monolithic applications to resilient, high-performance microservices. It provides specialized guidance on domain-driven design (DDD) to define clear service boundaries, implements critical reliability patterns like Sagas and CQRS, and configures service mesh architectures for optimal observability. Use this skill to solve complex challenges in inter-service communication, data consistency, and container orchestration while ensuring your systems are built for high availability and autonomous team growth.

Key Features

Expert guidance on service mesh technologies including Istio and Linkerd
Implementation of resilience patterns like Sagas, CQRS, and Circuit Breakers
Strategic communication design using REST, gRPC, and event-driven patterns
Domain-driven design (DDD) for service decomposition and bounded contexts
Distributed tracing and observability strategies for complex systems
7 GitHub stars

Use Cases

Designing a highly resilient event-driven system with eventual consistency models
Decomposing a legacy monolithic application into a scalable microservices architecture
Implementing comprehensive observability and tracing across a Kubernetes-based service mesh

About

Key Features

Expert guidance on service mesh technologies including Istio and Linkerd
Implementation of resilience patterns like Sagas, CQRS, and Circuit Breakers
Strategic communication design using REST, gRPC, and event-driven patterns
Domain-driven design (DDD) for service decomposition and bounded contexts
Distributed tracing and observability strategies for complex systems
7 GitHub stars

Use Cases

Designing a highly resilient event-driven system with eventual consistency models
Decomposing a legacy monolithic application into a scalable microservices architecture
Implementing comprehensive observability and tracing across a Kubernetes-based service mesh