Rust WebAssembly Edge Stack: Deno Deploy + Cloudflare Workers
A comprehensive guide to building high-performance edge applications with Rust WebAssembly, Deno Deploy, Cloudflare Workers, and React 19. Learn to compile Rust to Wasm, deploy to edge platforms, and implement advanced caching strategies.
- Step 1
Prerequisites and Environment Setup
Before diving into the Rust WebAssembly Edge Stack, ensure your development environment has the necessary tools installed.
Required Tools:
- Rust (latest stable): The core language for compiling to WebAssembly
- wasm-pack: Builds Rust-generated WebAssembly packages
- Node.js (v18+): Required for React 19 and TypeScript tooling
- Deno (v2.0+): Runtime for local testing and deployment
- Wrangler CLI: Cloudflare Workers deployment tool
- Git: Version control
System Requirements:
- macOS, Linux, or WSL2 on Windows
- At least 4GB RAM for compilation
- 10GB free disk space
# Install Rust and cargo curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh source $HOME/.cargo/env # Add wasm32 target rustup target add wasm32-unknown-unknown rustup target add wasm32-wasi # Install wasm-pack curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh # Install Deno curl -fsSL https://deno.land/install.sh | sh # Install Wrangler (Cloudflare Workers CLI) npm install -g wrangler # Verify installations rustc --version wasm-pack --version deno --version wrangler --version⚠ Heads up: On Windows, use WSL2 for the best development experience. Native Windows support for Rust → Wasm works but may have path issues. - Step 2
Rust Project Setup for WebAssembly
Create a new Rust library project optimized for WebAssembly compilation. We'll use
wasm-bindgenfor JavaScript interop andwasm-packfor building.Project Structure:
rust-wasm-core/ ├── Cargo.toml # Rust dependencies and config ├── src/ │ └── lib.rs # Main Rust code └── pkg/ # Generated Wasm output (gitignore)Key Dependencies:
wasm-bindgen: JavaScript/Rust interopserde: Serialization for data exchangeconsole_error_panic_hook: Better error messages in browserweb-sys: Browser API bindings
# Create new library project cargo new --lib rust-wasm-core cd rust-wasm-core # Update Cargo.toml with wasm dependencies cat > Cargo.toml << 'EOF' [package] name = "rust-wasm-core" version = "0.1.0" edition = "2021" [lib] crate-type = ["cdylib", "rlib"] [dependencies] wasm-bindgen = "0.2" serde = { version = "1.0", features = ["derive"] } serde-wasm-bindgen = "0.6" console_error_panic_hook = "0.1" web-sys = { version = "0.3", features = ["console"] } [profile.release] opt-level = "z" # Optimize for size lto = true # Link-time optimization codegen-units = 1 # Single codegen unit for better optimization strip = true # Strip symbols EOF - Step 3
Writing Rust Code with wasm-bindgen
Implement Rust functions that will be exported to JavaScript. This example creates a high-performance data processor that demonstrates Rust's speed advantages.
Best Practices:
- Use
#[wasm_bindgen]macro for exported functions - Keep data serialization minimal (use
serdefor complex types) - Leverage Rust's ownership for memory safety
- Use
console_error_panic_hookfor debugging
// src/lib.rs use wasm_bindgen::prelude::*; use serde::{Deserialize, Serialize}; #[wasm_bindgen] pub fn init_panic_hook() { console_error_panic_hook::set_once(); } #[derive(Serialize, Deserialize)] pub struct DataPoint { pub id: u32, pub value: f64, pub label: String, } #[wasm_bindgen] pub struct WasmProcessor { data: Vec<DataPoint>, } #[wasm_bindgen] impl WasmProcessor { #[wasm_bindgen(constructor)] pub fn new() -> Self { Self { data: Vec::new() } } pub fn process_data(&mut self, json_data: &str) -> Result<String, JsValue> { let points: Vec<DataPoint> = serde_json::from_str(json_data) .map_err(|e| JsValue::from_str(&e.to_string()))?; // Perform heavy computation (example: statistical analysis) let sum: f64 = points.iter().map(|p| p.value).sum(); let count = points.len() as f64; let mean = sum / count; let variance: f64 = points .iter() .map(|p| (p.value - mean).powi(2)) .sum::<f64>() / count; let result = serde_json::json!({ "mean": mean, "variance": variance, "count": count }); Ok(result.to_string()) } pub fn greet(name: &str) -> String { format!("Hello from Rust+Wasm, {}!", name) } }⚠ Heads up: Large data transfers between JS and Wasm can be slow. For bulk operations, consider passing shared memory pointers instead of serializing/deserializing. - Use
- Step 4
Building Rust to WebAssembly
Compile your Rust code to WebAssembly using
wasm-pack. This generates apkg/directory with JavaScript bindings, TypeScript definitions, and optimized.wasmfiles.Build Targets:
bundler: For webpack/rollup/vite (best for React)web: For direct browser use with ES modulesnodejs: For Node.js/Deno environmentsdeno: Optimized for Deno runtime
# Build for bundler (React/Vite) wasm-pack build --target bundler --release # Build for Deno Deploy wasm-pack build --target deno --release --out-dir pkg-deno # Build for Cloudflare Workers wasm-pack build --target bundler --release --out-dir pkg-workers # The pkg/ directory now contains: # - rust_wasm_core_bg.wasm (WebAssembly binary) # - rust_wasm_core.js (JS bindings) # - rust_wasm_core.d.ts (TypeScript types) # - package.json (NPM metadata) # Link locally for development cd pkg npm link cd .. - Step 5
React 19 + TypeScript Project Setup
Create a React 19 application with TypeScript 5 strict mode. We'll use Vite for fast development and optimal production builds.
React 19 Key Features:
- Concurrent Rendering: Automatic batching and transitions
- Server Components: Edge-compatible RSC
- Actions: Built-in form handling
- use() Hook: Suspense-aware data fetching
# Create React + TypeScript project with Vite npm create vite@latest edge-app -- --template react-ts cd edge-app # Install React 19 (release candidate or latest) npm install react@rc react-dom@rc # Install Wasm package npm link rust-wasm-core # Install additional dependencies npm install @tanstack/react-query workbox-precaching workbox-routing # Update tsconfig.json for strict mode cat > tsconfig.json << 'EOF' { "compilerOptions": { "target": "ES2022", "lib": ["ES2022", "DOM", "DOM.Iterable"], "module": "ESNext", "skipLibCheck": true, "strict": true, "noUncheckedIndexedAccess": true, "noImplicitOverride": true, "moduleResolution": "bundler", "resolveJsonModule": true, "isolatedModules": true, "jsx": "react-jsx", "esModuleInterop": true, "allowSyntheticDefaultImports": true }, "include": ["src"] } EOF - Step 6
Integrating Wasm with React 19
Load and use the Rust WebAssembly module in React. We'll use Suspense and lazy loading for optimal performance.
Integration Pattern:
- Lazy load Wasm module to avoid blocking initial render
- Use React's
use()hook with Suspense - Initialize panic hooks on module load
- Cache Wasm instance to avoid re-initialization
// src/hooks/useWasm.ts import { useState, useEffect } from 'react'; import type { WasmProcessor } from 'rust-wasm-core'; let wasmModule: typeof import('rust-wasm-core') | null = null; let initPromise: Promise<typeof import('rust-wasm-core')> | null = null; export function useWasm() { const [wasm, setWasm] = useState<typeof import('rust-wasm-core') | null>(wasmModule); const [error, setError] = useState<Error | null>(null); useEffect(() => { if (wasmModule) { setWasm(wasmModule); return; } if (!initPromise) { initPromise = import('rust-wasm-core').then((module) => { module.init_panic_hook(); wasmModule = module; return module; }); } initPromise .then((module) => setWasm(module)) .catch((err) => setError(err)); }, []); return { wasm, error, loading: !wasm && !error }; } // src/components/WasmDemo.tsx import { useWasm } from '../hooks/useWasm'; import { Suspense, useState, useTransition } from 'react'; export function WasmDemo() { const { wasm, error, loading } = useWasm(); const [result, setResult] = useState<string>(''); const [isPending, startTransition] = useTransition(); const handleProcess = () => { if (!wasm) return; const testData = JSON.stringify([ { id: 1, value: 10.5, label: 'A' }, { id: 2, value: 20.3, label: 'B' }, { id: 3, value: 15.7, label: 'C' }, ]); const processor = new wasm.WasmProcessor(); startTransition(() => { const output = processor.process_data(testData); setResult(output); }); }; if (loading) return <div>Loading Wasm module...</div>; if (error) return <div>Error: {error.message}</div>; return ( <div> <h2>Rust Wasm Processor</h2> <button onClick={handleProcess} disabled={isPending}> {isPending ? 'Processing...' : 'Run Analysis'} </button> {result && <pre>{JSON.stringify(JSON.parse(result), null, 2)}</pre>} </div> ); }⚠ Heads up: Wasm modules must be loaded asynchronously. Never use synchronous imports in production - they block the main thread. - Step 7
Deno Deploy Configuration
Configure your application for Deno Deploy, Deno's edge hosting platform. Deno Deploy runs on global edge nodes with sub-50ms cold starts.
Deno Deploy Features:
- Global edge network (35+ regions)
- Native TypeScript/JSX support
- Web standard APIs (fetch, crypto, etc.)
- Zero-config deployments
- Automatic HTTPS
// deno-server.ts import { serve } from "https://deno.land/std@0.224.0/http/server.ts"; import { serveDir } from "https://deno.land/std@0.224.0/http/file_server.ts"; // Import your Wasm module (built with --target deno) import * as wasm from "./pkg-deno/rust_wasm_core.js"; wasm.init_panic_hook(); const STATIC_DIR = "./dist"; serve(async (req: Request) => { const url = new URL(req.url); // API endpoint using Wasm if (url.pathname === "/api/process") { try { const body = await req.json(); const processor = new wasm.WasmProcessor(); const result = processor.process_data(JSON.stringify(body.data)); return new Response(result, { headers: { "content-type": "application/json", "cache-control": "public, max-age=60, s-maxage=3600", }, }); } catch (error) { return new Response( JSON.stringify({ error: (error as Error).message }), { status: 500 } ); } } // Serve static files (React build) return serveDir(req, { fsRoot: STATIC_DIR, urlRoot: "", enableCors: true, }); }, { port: 8000 }); console.log("Server running on http://localhost:8000"); - Step 8
Deploying to Deno Deploy
Deploy your edge application to Deno Deploy using GitHub integration or the
deployctlCLI.Deployment Options:
- GitHub Integration (recommended): Auto-deploy on push
- deployctl CLI: Manual deployments
- Deno Deploy Playground: Quick prototyping
# Install deployctl deno install -A --no-check -r -f https://deno.land/x/deploy/deployctl.ts # Build React app npm run build # Copy Wasm pkg to dist cp -r pkg-deno dist/ # Deploy to Deno Deploy deployctl deploy --project=my-edge-app --prod deno-server.ts # For GitHub integration: # 1. Push code to GitHub # 2. Go to https://dash.deno.com/projects # 3. Link your repository # 4. Set entry point to deno-server.ts # 5. Auto-deploys on every push to main - Step 9
Cloudflare Workers Setup
Configure Cloudflare Workers for ultra-low latency edge computing. Workers run on Cloudflare's global network (275+ cities) with 0ms cold starts.
Workers Advantages:
- V8 isolates (faster than containers)
- 0ms cold starts globally
- KV storage for edge caching
- Durable Objects for stateful compute
- R2 for object storage
# Create Workers project npm create cloudflare@latest edge-worker # Select: Hello World Worker template # Select: TypeScript cd edge-worker # Copy Wasm build cp ../rust-wasm-core/pkg-workers/* ./src/ # Update wrangler.toml cat > wrangler.toml << 'EOF' name = "edge-worker" main = "src/index.ts" compatibility_date = "2024-05-01" compatibility_flags = ["nodejs_compat"] # Wasm module binding [[rules]] type = "CompiledWasm" globs = ["**/*.wasm"] # KV namespace for caching [[kv_namespaces]] binding = "CACHE" id = "your-kv-namespace-id" preview_id = "preview-kv-namespace-id" EOF - Step 10
Cloudflare Workers with Wasm
Implement a Cloudflare Worker that uses your Rust Wasm module for high-performance edge computation.
// src/index.ts import wasmModule from './rust_wasm_core_bg.wasm'; import { WasmProcessor, init_panic_hook } from './rust_wasm_core'; interface Env { CACHE: KVNamespace; } // Initialize Wasm module let wasmInstance: WebAssembly.Instance | null = null; async function initWasm() { if (!wasmInstance) { wasmInstance = await WebAssembly.instantiate(wasmModule); init_panic_hook(); } return wasmInstance; } export default { async fetch(request: Request, env: Env): Promise<Response> { const url = new URL(request.url); // Initialize Wasm await initWasm(); if (url.pathname === '/api/compute') { try { // Check KV cache first const cacheKey = await request.clone().text(); const cached = await env.CACHE.get(cacheKey); if (cached) { return new Response(cached, { headers: { 'content-type': 'application/json', 'x-cache': 'HIT', 'cache-control': 'public, max-age=3600', }, }); } // Process with Wasm const data = await request.json(); const processor = new WasmProcessor(); const result = processor.process_data(JSON.stringify(data)); // Cache result await env.CACHE.put(cacheKey, result, { expirationTtl: 3600 }); return new Response(result, { headers: { 'content-type': 'application/json', 'x-cache': 'MISS', 'cache-control': 'public, max-age=3600', }, }); } catch (error) { return new Response( JSON.stringify({ error: (error as Error).message }), { status: 500 } ); } } return new Response('Not Found', { status: 404 }); }, };⚠ Heads up: Cloudflare Workers have a 1MB script size limit (including Wasm). Keep your Wasm modules small by using release builds with size optimizations. - Step 11
Service Worker for Edge Caching
Implement a Service Worker to enable offline-first capabilities and advanced caching strategies at the browser edge.
Caching Strategies:
- Cache First: For static assets (Wasm, JS, CSS)
- Network First: For API calls with cache fallback
- Stale While Revalidate: For frequently updated content
// src/service-worker.ts import { precacheAndRoute } from 'workbox-precaching'; import { registerRoute } from 'workbox-routing'; import { CacheFirst, NetworkFirst, StaleWhileRevalidate } from 'workbox-strategies'; import { CacheableResponsePlugin } from 'workbox-cacheable-response'; import { ExpirationPlugin } from 'workbox-expiration'; declare const self: ServiceWorkerGlobalScope; // Precache build artifacts precacheAndRoute(self.__WB_MANIFEST); // Cache Wasm modules (they don't change often) registerRoute( ({ request }) => request.destination === 'wasm', new CacheFirst({ cacheName: 'wasm-cache', plugins: [ new CacheableResponsePlugin({ statuses: [0, 200] }), new ExpirationPlugin({ maxEntries: 10, maxAgeSeconds: 30 * 24 * 60 * 60 }), ], }) ); // API calls: Network first with cache fallback registerRoute( ({ url }) => url.pathname.startsWith('/api/'), new NetworkFirst({ cacheName: 'api-cache', plugins: [ new CacheableResponsePlugin({ statuses: [0, 200] }), new ExpirationPlugin({ maxEntries: 50, maxAgeSeconds: 5 * 60 }), ], }) ); // Static assets: Stale while revalidate registerRoute( ({ request }) => request.destination === 'script' || request.destination === 'style' || request.destination === 'image', new StaleWhileRevalidate({ cacheName: 'static-cache', plugins: [ new CacheableResponsePlugin({ statuses: [0, 200] }), ], }) ); self.addEventListener('message', (event) => { if (event.data?.type === 'SKIP_WAITING') { self.skipWaiting(); } }); - Step 12
Performance Optimization Techniques
Optimize your Rust Wasm edge stack for maximum performance and minimal bundle size.
Optimization Checklist:
Rust/Wasm:
- ✅ Use
opt-level = "z"for size optimization - ✅ Enable LTO (link-time optimization)
- ✅ Strip debug symbols in release builds
- ✅ Use
wee_allocfor smaller allocator - ✅ Minimize serde usage (prefer binary formats)
React 19:
- ✅ Use Suspense for code splitting
- ✅ Leverage concurrent rendering
- ✅ Lazy load Wasm modules
- ✅ Use
useTransitionfor non-urgent updates
Edge Caching:
- ✅ CDN caching headers (s-maxage)
- ✅ Service Worker precaching
- ✅ KV/Cache API for computed results
- ✅ Compression (Brotli/gzip)
# Optimize Wasm size with wasm-opt npm install -g wasm-opt # After wasm-pack build: wasm-opt -Oz pkg/rust_wasm_core_bg.wasm -o pkg/rust_wasm_core_bg.wasm # Analyze bundle size npx vite-bundle-visualizer # Enable Brotli compression in Vite # vite.config.ts additions: import viteCompression from 'vite-plugin-compression'; export default { plugins: [ viteCompression({ algorithm: 'brotliCompress' }), ], build: { target: 'esnext', minify: 'terser', terserOptions: { compress: { drop_console: true, passes: 2, }, }, }, }; # Performance testing npx lighthouse https://your-edge-app.deno.dev --view⚠ Heads up: Over-optimization can hurt developer experience. Balance bundle size with build time and code maintainability. - ✅ Use
- Step 13
Edge-First Caching Strategy
Implement a multi-tier caching strategy leveraging browser cache, Service Workers, edge compute, and CDN.
Caching Tiers:
-
Browser Memory Cache (0ms)
- Wasm module instance
- React component state
-
Service Worker Cache API (1-5ms)
- Static assets
- API responses
- Offline fallbacks
-
Edge KV/Cache (5-20ms)
- Cloudflare KV
- Deno KV
- Computed results
-
CDN Cache (20-50ms)
- Static assets
- Public API responses
-
Origin (100ms+)
- Database queries
- Heavy computations
// Edge caching utility type CacheConfig = { browserTTL: number; // seconds edgeTTL: number; // seconds cdnTTL: number; // seconds }; function buildCacheHeaders(config: CacheConfig): Headers { const headers = new Headers(); // Browser cache headers.set( 'Cache-Control', `public, max-age=${config.browserTTL}, s-maxage=${config.edgeTTL}, stale-while-revalidate=${config.edgeTTL * 2}` ); // CDN cache headers.set('CDN-Cache-Control', `public, max-age=${config.cdnTTL}`); // Cloudflare-specific headers.set('CF-Cache-Status', 'DYNAMIC'); return headers; } // Usage example const CACHE_CONFIGS = { static: { browserTTL: 31536000, edgeTTL: 31536000, cdnTTL: 31536000 }, // 1 year api: { browserTTL: 60, edgeTTL: 300, cdnTTL: 3600 }, // 1min/5min/1hr dynamic: { browserTTL: 0, edgeTTL: 30, cdnTTL: 60 }, // 0/30s/1min }; // In your Worker: export default { async fetch(request: Request, env: Env): Promise<Response> { // ... processing logic ... const headers = buildCacheHeaders(CACHE_CONFIGS.api); headers.set('Content-Type', 'application/json'); return new Response(result, { headers }); }, }; -
- Step 14
Cost Optimization Strategies
Minimize edge computing costs while maintaining performance.
Cost Breakdown:
Deno Deploy:
- Free tier: 100k requests/day, 100 GiB bandwidth/month
- Pro: $20/month for 5M requests, 500 GiB bandwidth
- Pay-as-you-go: $2/million requests after limits
Cloudflare Workers:
- Free tier: 100k requests/day
- Paid: $5/10M requests
- KV: $0.50/1M reads, $5/1M writes
Optimization Tips:
- ✅ Aggressive caching reduces origin requests
- ✅ Batch KV writes
- ✅ Use Deno Deploy for read-heavy workloads
- ✅ Use Workers for write-heavy with KV
- ✅ Compress responses (saves bandwidth)
- ✅ Monitor with analytics
// Cost-aware caching wrapper class EdgeCache { constructor( private kv: KVNamespace, private stats: { reads: number; writes: number } = { reads: 0, writes: 0 } ) {} async get(key: string): Promise<string | null> { this.stats.reads++; return await this.kv.get(key); } async put(key: string, value: string, ttl: number): Promise<void> { // Only write if value changed (saves KV writes) const existing = await this.get(key); if (existing === value) return; this.stats.writes++; await this.kv.put(key, value, { expirationTtl: ttl }); } getStats() { return { ...this.stats, estimatedCost: (this.stats.reads * 0.0000005) + (this.stats.writes * 0.000005), }; } } // Usage: const cache = new EdgeCache(env.CACHE); // Estimated cost in USD based on Cloudflare pricing - Step 15
Production Deployment Checklist
Final steps before deploying your Rust Wasm edge stack to production.
Pre-Deployment:
- ✅ Run
wasm-pack build --releasewith optimizations - ✅ Optimize with
wasm-opt -Oz - ✅ Build React app with
npm run build - ✅ Test Service Worker offline mode
- ✅ Configure CDN caching headers
- ✅ Set up monitoring (Sentry, LogRocket)
- ✅ Test on multiple browsers/devices
- ✅ Run Lighthouse audit (target: 95+ score)
- ✅ Configure secrets (API keys, tokens)
- ✅ Set up custom domain + SSL
Monitoring:
- Edge performance metrics
- Wasm module load time
- Cache hit rates
- Error tracking
- Cost monitoring
# Full production build script #!/bin/bash set -e echo "Building Rust Wasm..." cd rust-wasm-core wasm-pack build --target bundler --release wasm-opt -Oz pkg/rust_wasm_core_bg.wasm -o pkg/rust_wasm_core_bg.wasm cd .. echo "Building React app..." cd edge-app npm run build echo "Bundle analysis..." npx vite-bundle-visualizer echo "Deploying to Deno Deploy..." cp -r ../rust-wasm-core/pkg-deno dist/ deployctl deploy --project=prod-edge-app --prod ../deno-server.ts echo "Deploying to Cloudflare Workers..." cd ../edge-worker wrangler deploy --env production echo "Running post-deploy checks..." npx lighthouse https://your-domain.com --view echo "✅ Deployment complete!"⚠ Heads up: Always test deployments in staging first. Edge platforms have different runtime behaviors than local development. - ✅ Run
- Step 16
Troubleshooting Common Issues
Solutions to common problems when building Rust Wasm edge applications.
Issue: Wasm module fails to load
- Check MIME type is
application/wasm - Verify CORS headers if loading cross-origin
- Ensure
.wasmfiles are not being transpiled by bundler
Issue: Large bundle size
- Use
opt-level = "z"in Cargo.toml - Run
wasm-opt -Oz - Split into multiple smaller modules
- Use dynamic imports
Issue: Slow cold starts
- Minimize Wasm module size
- Use Cloudflare Workers (0ms cold starts)
- Precache Wasm with Service Worker
- Consider ahead-of-time compilation
Issue: Memory leaks
- Properly drop Rust objects
- Use
wasm-bindgen's ownership model - Monitor with browser DevTools
Issue: CORS errors
- Add appropriate headers in edge worker
- Handle preflight OPTIONS requests
// Debug wrapper for Wasm loading async function loadWasmWithDiagnostics() { console.time('wasm-load'); try { const wasmModule = await import('rust-wasm-core'); console.timeEnd('wasm-load'); // Check module size const response = await fetch('/rust_wasm_core_bg.wasm'); const blob = await response.blob(); console.log(`Wasm size: ${(blob.size / 1024).toFixed(2)} KB`); // Initialize wasmModule.init_panic_hook(); return wasmModule; } catch (error) { console.error('Wasm load failed:', error); // Provide fallback console.warn('Using JavaScript fallback'); return getJavaScriptFallback(); } } // CORS-enabled edge worker export default { async fetch(request: Request): Promise<Response> { // Handle preflight if (request.method === 'OPTIONS') { return new Response(null, { headers: { 'Access-Control-Allow-Origin': '*', 'Access-Control-Allow-Methods': 'GET, POST, OPTIONS', 'Access-Control-Allow-Headers': 'Content-Type', }, }); } // ... your logic ... const response = new Response(result); response.headers.set('Access-Control-Allow-Origin', '*'); return response; }, }; - Check MIME type is
- Step 17
Next Steps and Advanced Topics
Continue learning and extending your Rust Wasm edge stack.
Advanced Topics:
1. Streaming Wasm Compilation
- Use
WebAssembly.instantiateStreaming()for faster loads - Implement progressive Wasm loading
2. Shared Memory
- Use
SharedArrayBufferfor zero-copy data transfer - Implement Web Workers with Wasm
3. SIMD Optimization
- Enable WASM SIMD for 4x faster math operations
- Use Rust's
packed_simdcrate
4. Durable Objects
- Stateful edge compute with Cloudflare Durable Objects
- WebSocket connections at the edge
5. Edge Databases
- Deno KV for distributed edge storage
- Cloudflare D1 for SQLite at the edge
Learning Resources:
- Rust Wasm Book: https://rustwasm.github.io/docs/book/
- Deno Deploy Docs: https://docs.deno.com/deploy/
- Cloudflare Workers: https://developers.cloudflare.com/workers/
- React 19 Docs: https://react.dev/blog/2024/04/25/react-19
// Streaming Wasm compilation example async function loadWasmStreaming() { const response = await fetch('/rust_wasm_core_bg.wasm'); const { instance } = await WebAssembly.instantiateStreaming(response); return instance.exports; } // SIMD example (in Rust) // Cargo.toml: packed_simd = "0.3" use packed_simd::f32x4; #[wasm_bindgen] pub fn simd_sum(data: &[f32]) -> f32 { let mut sum = f32x4::splat(0.0); for chunk in data.chunks_exact(4) { let vec = f32x4::from_slice_unaligned(chunk); sum += vec; } sum.sum() } // Deno KV example const kv = await Deno.openKv(); await kv.set(["users", "123"], { name: "Alice", score: 100 }); const result = await kv.get(["users", "123"]); // Watch for changes (reactive edge state) for await (const entries of kv.watch([["users", "123"]])) { console.log("User updated:", entries[0].value); } - Use
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