Design constraints and patterns for building stateless, observable cloud-native applications in Rust.
Works with
Enforces stateless design, graceful shutdown with SIGTERM handling, and 12-factor configuration via environment variables to support Kubernetes orchestration and zero-downtime deployments
Requires distributed tracing with tracing and OpenTelemetry, plus dedicated /health and /ready endpoints for liveness and readiness probes
Recommends key crates: tonic for gRPC services, kube and ku
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondomain-cloud-nativeExecute the skills CLI command in your project's root directory to begin installation:
Fetches domain-cloud-native from zhanghandong/rust-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate domain-cloud-native. Access via /domain-cloud-native in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Layer 3: Domain Constraints
| Domain Rule | Design Constraint | Rust Implication |
|---|---|---|
| 12-Factor | Config from env | Environment-based config |
| Observability | Metrics + traces | tracing + opentelemetry |
| Health checks | Liveness/readiness | Dedicated endpoints |
| Graceful shutdown | Clean termination | Signal handling |
| Horizontal scale | Stateless design | No local state |
| Container-friendly | Small binaries | Release optimization |
RULE: No local persistent state
WHY: Pods can be killed/rescheduled anytime
RUST: External state (Redis, DB), no static mut
RULE: Handle SIGTERM, drain connections
WHY: Zero-downtime deployments
RUST: tokio::signal + graceful shutdown
RULE: Every request must be traceable
WHY: Debugging distributed systems
RUST: tracing spans, opentelemetry export
From constraints to design (Layer 2):
"Need distributed tracing"
↓ m12-lifecycle: Span lifecycle
↓ tracing + opentelemetry
"Need graceful shutdown"
↓ m07-concurrency: Signal handling
↓ m12-lifecycle: Connection draining
"Need health checks"
↓ domain-web: HTTP endpoints
↓ m06-error-handling: Health status
| Purpose | Crate |
|---|---|
| gRPC | tonic |
| Kubernetes | kube, kube-runtime |
| Docker | bollard |
| Tracing | tracing, opentelemetry |
| Metrics | prometheus, metrics |
| Config | config, figment |
| Health | HTTP endpoints |
| Pattern | Purpose | Implementation |
|---|---|---|
| gRPC services | Service mesh | tonic + tower |
| K8s operators | Custom resources | kube-runtime Controller |
| Observability | Debugging | tracing + OTEL |
| Health checks | Orchestration | /health, /ready |
| Config | 12-factor | Env vars + secrets |
use tokio::signal;
async fn run_server() -> anyhow::Result<()> {
let app = Router::new()
.route("/health", get(health))
.route("/ready", get(ready));
let addr = SocketAddr::from(([0, 0, 0, 0], 8080));
axum::Server::bind(&addr)
.serve(app.into_make_service())
.with_graceful_shutdown(shutdown_signal())
.await?;
Ok(())
}
async fn shutdown_signal() {
signal::ctrl_c().await.expect("failed to listen for ctrl+c");
tracing::info!("shutdown signal received");
}
async fn health() -> StatusCode {
StatusCode::OK
}
async fn ready(State(db): State<Arc<DbPool>>) -> StatusCode {
match db.ping().await {
Ok(_) => StatusCode::OK,
Err(_) => StatusCode::SERVICE_UNAVAILABLE,
}
}
| Mistake | Domain Violation | Fix |
|---|---|---|
| Local file state | Not stateless | External storage |
| No SIGTERM handling | Hard kills | Graceful shutdown |
| No tracing | Can't debug | tracing spans |
| Static config | Not 12-factor | Env vars |
| Constraint | Layer 2 Pattern | Layer 1 Implementation |
|---|---|---|
| Stateless | External state | Arc for external |
| Graceful shutdown | Signal handling | tokio::signal |
| Tracing | Span lifecycle | tracing + OTEL |
| Health checks | HTTP endpoints | Dedicated routes |
| When | See |
|---|---|
| Async patterns | m07-concurrency |
| HTTP endpoints | domain-web |
| Error handling | m13-domain-error |
| Resource lifecycle | m12-lifecycle |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: domain-cloud-native is focused, and the summary matches what you get after install.
Registry listing for domain-cloud-native matched our evaluation — installs cleanly and behaves as described in the markdown.
domain-cloud-native fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
domain-cloud-native has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added domain-cloud-native from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in domain-cloud-native — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: domain-cloud-native is focused, and the summary matches what you get after install.
domain-cloud-native fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend domain-cloud-native for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in domain-cloud-native — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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