domain-cloud-native

Align cloud-native Rust services with domain constraints for Kubernetes runtimes.

1.4k|110|Updated Jan 17, 2026
One-click install
npx skills add https://github.com/actionbook/rust-skills --skill domain-cloud-native
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: domain-cloud-native
Source: https://github.com/actionbook/rust-skills/tree/main/skills/domain-cloud-native
Command: npx skills add https://github.com/actionbook/rust-skills --skill domain-cloud-native

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps align cloud-native Rust design with domain constraints, guiding architecture toward scalable, observable, and resilient services.

Core Features & Use Cases

  • Domain-driven constraints for cloud-native Rust apps, including 12-factor config, stateless design, graceful shutdown, and service orchestration
  • Observability and telemetry integration with tracing and metrics (OpenTelemetry, Prometheus)
  • Kubernetes-ready patterns for deployment, health checks, and resource management
  • Use Case: design a microservice that runs on Kubernetes with env-based config, tracing, readiness/liveness probes, and external storage for state

Quick Start

Apply the domain-cloud-native skill to a Rust microservice intended for cloud-native deployment. For example, ensure environment-based configuration, enable tracing, add health endpoints, and enforce statelessness.

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 with health checks and tracing?

Design a Rust microservice for Kubernetes by applying domain constraints for 12-factor config, readiness and liveness probes, OpenTelemetry tracing, and statelessness. This ensures your service is observable, scalable, and resilient within cloud-native runtimes.

What does stateless design mean for cloud-native Rust services?

Stateless design for cloud-native Rust services means storing state externally rather than in-process. This approach ensures services can scale horizontally, handle graceful shutdowns, and restart reliably on Kubernetes without losing critical application data.

How do I implement graceful shutdown and observability in Rust?

Implement graceful shutdown and observability in Rust by integrating tracing and metrics libraries like OpenTelemetry and Prometheus. This combination provides telemetry data and ensures in-flight requests complete safely during pod termination.

Can I use this approach for existing Rust services deployed on cloud-native runtimes?

Yes, you can apply this approach to existing Rust services by refactoring configuration to 12-factor environment variables, adding health endpoints, and enforcing statelessness to align with cloud-native deployment requirements.

What is the best way to manage configuration for Rust apps on Kubernetes?

The best way to manage configuration for Rust apps on Kubernetes is using 12-factor environment-based configuration. This externalizes settings, allowing services to remain portable and environment-agnostic across different cloud-native deployments.

Why do my Kubernetes readiness probes fail when scaling Rust services?

Kubernetes readiness probes may fail for Rust services if health endpoints are missing or state is stored locally, preventing proper scaling. Adding dedicated health checks and adopting stateless design ensures probes accurately reflect service readiness.