TechSetupGuides
Advancedrustwebassemblywasmdenodeno-deploycloudflare-workersreact-19typescriptedge-computingservice-workersperformanceserverless

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.

  1. 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.
  2. Step 2

    Rust Project Setup for WebAssembly

    Create a new Rust library project optimized for WebAssembly compilation. We'll use wasm-bindgen for JavaScript interop and wasm-pack for 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 interop
    • serde: Serialization for data exchange
    • console_error_panic_hook: Better error messages in browser
    • web-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
  3. 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 serde for complex types)
    • Leverage Rust's ownership for memory safety
    • Use console_error_panic_hook for 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.
  4. Step 4

    Building Rust to WebAssembly

    Compile your Rust code to WebAssembly using wasm-pack. This generates a pkg/ directory with JavaScript bindings, TypeScript definitions, and optimized .wasm files.

    Build Targets:

    • bundler: For webpack/rollup/vite (best for React)
    • web: For direct browser use with ES modules
    • nodejs: For Node.js/Deno environments
    • deno: 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 ..
  5. 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
  6. 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:

    1. Lazy load Wasm module to avoid blocking initial render
    2. Use React's use() hook with Suspense
    3. Initialize panic hooks on module load
    4. 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.
  7. 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");
  8. Step 8

    Deploying to Deno Deploy

    Deploy your edge application to Deno Deploy using GitHub integration or the deployctl CLI.

    Deployment Options:

    1. GitHub Integration (recommended): Auto-deploy on push
    2. deployctl CLI: Manual deployments
    3. 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
  9. 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
  10. 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.
  11. 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();
      }
    });
  12. 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_alloc for smaller allocator
    • ✅ Minimize serde usage (prefer binary formats)

    React 19:

    • ✅ Use Suspense for code splitting
    • ✅ Leverage concurrent rendering
    • ✅ Lazy load Wasm modules
    • ✅ Use useTransition for 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.
  13. Step 13

    Edge-First Caching Strategy

    Implement a multi-tier caching strategy leveraging browser cache, Service Workers, edge compute, and CDN.

    Caching Tiers:

    1. Browser Memory Cache (0ms)

      • Wasm module instance
      • React component state
    2. Service Worker Cache API (1-5ms)

      • Static assets
      • API responses
      • Offline fallbacks
    3. Edge KV/Cache (5-20ms)

      • Cloudflare KV
      • Deno KV
      • Computed results
    4. CDN Cache (20-50ms)

      • Static assets
      • Public API responses
    5. 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 });
      },
    };
  14. 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
  15. Step 15

    Production Deployment Checklist

    Final steps before deploying your Rust Wasm edge stack to production.

    Pre-Deployment:

    • ✅ Run wasm-pack build --release with 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.
  16. 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 .wasm files 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;
      },
    };
  17. 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 SharedArrayBuffer for zero-copy data transfer
    • Implement Web Workers with Wasm

    3. SIMD Optimization

    • Enable WASM SIMD for 4x faster math operations
    • Use Rust's packed_simd crate

    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);
    }

Feature requests

Sign in to suggest features or vote on existing ones.

No feature requests yet.

Discussion

0 people marked this as worked·Sign in to mark your own.

Sign in to join the discussion.

No comments yet.