edge-computing

## What I do - Design edge computing architectures - Deploy applications to edge locations - Optimize for low-latency processing - Implement edge-cloud hybrid solutions - Configure content delivery at the edge - Manage distributed edge infrastructure ## When to use me - When latency is critical for applications - When processing IoT data streams - When reducing bandwidth costs - When operating in disconnected environments - When implementing CDN with compute - When building IoT platforms ## Key Concepts ### Edge Architecture ``` ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ IoT │ │ Edge │ │ Cloud │ │ Devices │────►│ Node │────►│ Backend │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ │ ┌─────▼─────┐ │ │ │ Local │ │ └───────────►│ Storage │ │ └────────────┘ │ ┌────────────┐ │ │ Analytics │ │ └────────────┘ │ ``` ### Cloudflare Workers ```javascript // Edge computing with Cloudflare Workers addEventListener('fetch', event => { event.respondWith(handleRequest(event.request)) }) async function handleRequest(request) { const url = new URL(request.url) // A/B testing at edge const bucket = Math.random() < 0.5 ? 'a' : 'b' // Transform response const response = await fetch(request) const headers = new Headers(response.headers) headers.set('X-Edge-Bucket', bucket) return new Response(response.body, { status: response.status, headers }) } // KV storage at edge export async function onRequest(context) { const cache = await context.env.CACHE.get('data') if (cache) return new Response(cache) const response = await fetch('https://api.example.com/data') const text = await response.text() await context.env.CACHE.put('data', text, { expirationTtl: 3600 }) return new Response(text) } ``` ### AWS Lambda@Edge ```javascript // Lambda@Edge function exports.handler = async (event) => { const request = event.Records[0].cf.request // Add security headers request.headers['strict-transport-security'] = [{ key: 'Strict-Transport-Security', value: 'max-age=31536000; includeSubDomains' }] // Redirect based on country const country = request.headers['cloudfront-viewer-country'][0].value if (country === 'EU') { request.uri = '/eu' + request.uri } return request } ``` ### Kubernetes at the Edge ```yaml apiVersion: v1 kind: Pod metadata: name: edge-node spec: nodeSelector: node-type: edge tolerations: - key: "edge" operator: "Equal" value: "true" effect: "NoSchedule" containers: - name: edge-app image: edge-app:latest resources: limits: cpu: "500m" memory: "512Mi" ``` ### Edge Use Cases - **Video Processing**: Transcoding, content moderation - **IoT Analytics**: Real-time data filtering and aggregation - **AR/VR**: Low-latency rendering - **Autonomous Vehicles**: Immediate decision making - **Retail**: Inventory management, personalized offers - **Healthcare**: Remote monitoring, emergency alerts ### Hybrid Edge-Cloud ```yaml # Kubernetes Federation apiVersion: core.kubefed.io/v1beta1 kind: KubeFedConfig metadata: name: kubefed spec: scope: Namespaced controllerDuration: availableDelay: 20s unavailableDelay: 60s leaderElect: leaseDuration: 15s renewDeadline: 10s retryPeriod: 5s resourceLock: configmaps featureGates: - name: PushReconciler configuration: Enabled - name: SchedulerPreferences configuration: Enabled ``` ### Key Considerations - Network connectivity and reliability - Data sovereignty and compliance - Resource constraints at edge nodes - Security at edge locations - Offline operation capability - Synchronization with cloud