domain-cloud-native

Guide Rust applications to meet cloud-native design constraints for microservices, gRPC, and Kubernetes operators.

1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/Jylhis/claude-marketplace --skill domain-cloud-native-jylhis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: domain-cloud-native
Source: https://github.com/Jylhis/claude-marketplace/tree/main/plugins/rust-dev/skills/domain-cloud-native
Command: npx skills add https://github.com/Jylhis/claude-marketplace --skill domain-cloud-native-jylhis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many Rust developers struggle to translate cloud‑native constraints into concrete design decisions, leading to services that are difficult to scale, monitor, or run reliably in containers.

Core Features & Use Cases

  • Domain Constraints Mapping: Clear translation of 12‑factor, observability, and health‑check rules into Rust‑specific guidance.
  • Pattern Library: Ready‑to‑use designs for gRPC services, Kubernetes operators, tracing, metrics, and graceful shutdown.
  • Implementation Snippets: Example code for graceful shutdown, health endpoints, and essential crates.
  • Use Case: Building a Rust microservice that runs in Kubernetes, supports distributed tracing, and handles SIGTERM gracefully.

Quick Start

Ask the skill to outline a Rust microservice architecture that follows the cloud‑native domain constraints.

Frequently Asked Questions about domain-cloud-native

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

FAQPage Schema
How do I design a Rust microservice for Kubernetes that handles SIGTERM gracefully?

To design a Rust microservice for Kubernetes with graceful shutdown, translate cloud-native constraints into concrete design decisions using pattern libraries for SIGTERM handling and health endpoints. This ensures services run reliably in containers and scale properly without dropping active connections.

What are the cloud-native design constraints for Rust applications?

Cloud-native design constraints for Rust applications map 12-factor principles, observability rules, and health-check requirements into Rust-specific guidance. This approach solves scaling and monitoring difficulties by providing ready-to-use designs for gRPC services and Kubernetes operators.

How do I implement distributed tracing and metrics in a Rust gRPC server?

Implementing distributed tracing and metrics in a Rust gRPC server involves applying ready-to-use pattern libraries that integrate observability rules into your service architecture. This ensures compliance with cloud-native constraints while providing implementation snippets for essential crates and health endpoints.

Can I use Rust to build a Kubernetes operator that follows 12-factor principles?

Yes, you can use Rust to build a Kubernetes operator following 12-factor principles by applying domain constraints mapping to translate cloud-native rules into Rust-specific guidance. This ensures container-friendly builds, observability, and graceful shutdown for reliable operator execution.

What's the best way to make my Rust service container-friendly and easy to monitor?

The best way to make a Rust service container-friendly and easy to monitor is to apply cloud-native domain constraints mapping, which translates observability and health-check rules into concrete Rust design decisions. This provides pattern libraries for tracing, metrics, and graceful shutdown.