moai-domain-backend

Solve backend architecture decisions for server-side APIs and infrastructure design.

1|Updated Jul 28, 2025
One-click install
npx skills add https://github.com/kivo360/quickhooks --skill moai-domain-backend-kivo360
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-domain-backend
Source: https://github.com/kivo360/quickhooks/tree/main/.claude/skills/moai-domain-backend
Command: npx skills add https://github.com/kivo360/quickhooks --skill moai-domain-backend-kivo360

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides backend architecture and scaling guidance for server-side APIs and infrastructure design.

Core Features & Use Cases

  • Server Architecture: Layered, microservices, event-driven patterns.
  • API Design: REST, GraphQL, gRPC with security practices.
  • Observability: Monitoring, tracing, and performance tuning.

Quick Start

Compare a layered monolith vs microservices for a new API domain.

Frequently Asked Questions about moai-domain-backend

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

FAQPage Schema
How do I choose between a monolithic and microservices architecture for my backend API?

Monolithic architectures are simpler to deploy initially but become harder to scale; microservices enable independent scaling and team ownership but introduce operational complexity. Choose microservices when you need independent deployment, different tech stacks per service, or scaling of specific components. Start monolithic if your domain is new or team is small.

What observability practices should I implement for production backends?

Observability combines monitoring, distributed tracing, and structured logging. Use Prometheus for metrics, OpenTelemetry for trace instrumentation across services, and centralized logging to correlate requests. This enables fast root-cause analysis when latency spikes or errors occur in production.

How do I design REST APIs that scale with traffic growth?

Design REST APIs with API gateway patterns to handle authentication and rate limiting, cache frequently accessed data, use database query optimization and indexes, and separate read/write concerns. Kubernetes deployment with auto-scaling ensures your infrastructure grows with demand.

When should I use event-driven architecture instead of synchronous APIs?

Event-driven architecture decouples services and handles asynchronous workflows like background jobs and notifications. Use it when operations are independent, order matters but timing doesn't, or you need to process high-volume streams. Synchronous APIs work better for tightly coupled, request-response operations.

What security considerations are critical for backend API design?

Implement authentication and authorization at the API gateway, use encrypted connections, validate all inputs, apply principle of least privilege, and monitor for anomalies. Separate security concerns by layer—client, API, service, and database—to prevent single points of failure.

How do I deploy backend services on Kubernetes for reliability and scaling?

Kubernetes manages containerized services with auto-scaling, rolling updates, and self-healing. Configure resource requests/limits, use health checks for reliability, and employ service meshes like Istio for traffic management and observability across your backend services.