microservices

Design microservice architectures with DDD boundaries, communication patterns, and CQRS data strategies.

364|53|Updated May 9, 2026

Search Tags:#architecture #microservices #distributed-systems #domain-driven-design #cqrs #distributed-tracing #event-driven-architecture

Ready to run

npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill microservices-cosmicstack-labs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: microservices
Source: https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/backend/microservices
Command: npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill microservices-cosmicstack-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Microservices often fail due to unclear service boundaries, fragile communication patterns, inconsistent data handling, and missing observability, leading to hard-to-debug distributed systems.

Core Features & Use Cases

Service boundaries with DDD: Define bounded contexts so each service owns its domain and database, reducing coupling.
Correct communication patterns: Choose between synchronous (REST/gRPC) and asynchronous (events/queues) interactions to match consistency and throughput needs.
Scalable data and observability: Use CQRS to separate reads and writes and apply distributed tracing (with correlation IDs and OpenTelemetry) to visualize end-to-end request flow.

Quick Start

Use the microservices skill to plan your microservice boundaries, select communication patterns, and map required tracing/consistency strategies for a new event-driven backend.

Frequently Asked Questions about microservices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I define microservice boundaries using domain-driven design?▼

Define microservice boundaries by establishing bounded contexts so each service owns its specific domain and database, reducing coupling. This domain decomposition ensures distributed components remain loosely coupled and independently scalable.

When should I use event-driven architecture versus synchronous REST or gRPC communication in distributed systems?▼

Use event-driven architecture with message buses when you need asynchronous throughput and eventual consistency, and choose synchronous REST or gRPC when immediate consistency is required. Matching communication patterns to interaction needs prevents fragile distributed systems.

How do I implement distributed tracing with correlation IDs and OpenTelemetry for microservices?▼

Implement distributed tracing by propagating correlation IDs and applying OpenTelemetry to visualize end-to-end request flow. This trace-based monitoring tracks latency SLOs and reveals hidden bottlenecks across service boundaries.

What are common microservices anti-patterns to avoid when designing distributed backends?▼

Common microservices anti-patterns include unclear service boundaries, tightly coupled databases, and missing observability. Avoiding these prevents hard-to-debug distributed systems by enforcing bounded contexts and consistent data handling strategies.

Can I plan data consistency strategies for an evolving event-driven backend with microservices?▼

You can plan data consistency strategies for evolving event-driven backends by defining service boundaries, selecting communication patterns, and mapping required tracing. This approach handles domain decomposition and read/write separation safely.