Edge Computing in 2026: Building Low-Latency Applications with 5G
on Edge computing, 5g, Cdn, Cloudflare workers, Aws wavelength, Latency, Iot
Edge computing isn’t new, but 5G is making it practical. With sub-10ms latency becoming achievable, we can finally build real-time applications that were impossible before.
Photo by Jordan Harrison on Unsplash
Why Edge Computing Matters Now
Traditional cloud architecture:
User → Internet (50-100ms) → Cloud Region → Response
Edge architecture:
User → 5G (1-5ms) → Edge Node → Response
For gaming, AR/VR, and real-time collaboration, that 50ms difference is everything.
The Edge Computing Stack in 2026
Major Platforms
| Platform | Locations | Use Case |
|---|---|---|
| Cloudflare Workers | 300+ cities | Serverless edge |
| AWS Wavelength | 5G carrier POPs | Ultra-low latency |
| Fastly Compute | 80+ POPs | Edge compute |
| Akamai EdgeWorkers | 4000+ locations | Enterprise edge |
When to Use Edge
Good fits:
- Real-time gaming backends
- AR/VR rendering offload
- IoT data processing
- Personalization at scale
- A/B testing and feature flags
Not ideal:
- Heavy database operations
- Long-running batch jobs
- Stateful applications
Photo by Taylor Vick on Unsplash
Building an Edge Application
Let’s build a real-time game leaderboard with Cloudflare Workers:
Worker Code
// src/index.ts
import { Hono } from 'hono';
interface Env {
LEADERBOARD: KVNamespace;
SCORES: DurableObjectNamespace;
}
const app = new Hono<{ Bindings: Env }>();
// Get top scores - served from edge
app.get('/leaderboard', async (c) => {
const cached = await c.env.LEADERBOARD.get('top100', 'json');
if (cached) {
return c.json(cached);
}
// Fallback to Durable Object
const id = c.env.SCORES.idFromName('global');
const stub = c.env.SCORES.get(id);
const scores = await stub.fetch('/top100');
return scores;
});
// Submit score - consistent via Durable Objects
app.post('/score', async (c) => {
const { playerId, score } = await c.req.json();
const id = c.env.SCORES.idFromName('global');
const stub = c.env.SCORES.get(id);
const result = await stub.fetch('/submit', {
method: 'POST',
body: JSON.stringify({ playerId, score }),
});
return result;
});
export default app;
Durable Object for Consistency
// src/scores.ts
export class ScoresDurableObject {
private scores: Map<string, number> = new Map();
private state: DurableObjectState;
constructor(state: DurableObjectState) {
this.state = state;
}
async fetch(request: Request): Promise<Response> {
const url = new URL(request.url);
if (url.pathname === '/submit') {
const { playerId, score } = await request.json();
const current = this.scores.get(playerId) || 0;
if (score > current) {
this.scores.set(playerId, score);
await this.state.storage.put(playerId, score);
}
return new Response(JSON.stringify({ success: true }));
}
if (url.pathname === '/top100') {
const sorted = [...this.scores.entries()]
.sort((a, b) => b[1] - a[1])
.slice(0, 100);
return new Response(JSON.stringify(sorted));
}
return new Response('Not found', { status: 404 });
}
}
AWS Wavelength for 5G
When you need carrier-grade low latency:
// CDK Stack for Wavelength deployment
import * as cdk from 'aws-cdk-lib';
import * as ec2 from 'aws-cdk-lib/aws-ec2';
export class WavelengthStack extends cdk.Stack {
constructor(scope: cdk.App, id: string) {
super(scope, id);
// Wavelength Zone VPC
const vpc = new ec2.Vpc(this, 'WavelengthVpc', {
maxAzs: 2,
subnetConfiguration: [
{
name: 'wavelength',
subnetType: ec2.SubnetType.PUBLIC,
// Wavelength zones have special naming
},
],
});
// Carrier Gateway for 5G traffic
const carrierGateway = new ec2.CfnCarrierGateway(this, 'CarrierGW', {
vpcId: vpc.vpcId,
});
// EC2 in Wavelength Zone
const instance = new ec2.Instance(this, 'EdgeServer', {
vpc,
instanceType: ec2.InstanceType.of(
ec2.InstanceClass.G4DN,
ec2.InstanceSize.XLARGE
),
machineImage: ec2.MachineImage.latestAmazonLinux2(),
// Deploy to Wavelength subnet
});
}
}
Edge Database Patterns
Pattern 1: Read Replicas at Edge
┌─────────────┐
│ Primary │
│ Database │
└──────┬──────┘
│ Replication
┌─────────────┼─────────────┐
▼ ▼ ▼
┌───────┐ ┌───────┐ ┌───────┐
│ Edge │ │ Edge │ │ Edge │
│ Read │ │ Read │ │ Read │
│ Replica│ │Replica│ │Replica│
└───────┘ └───────┘ └───────┘
US EU APAC
Pattern 2: Edge Cache + Central Write
// Read from edge cache, write to central
async function getData(key: string, env: Env) {
// Try edge cache first
const cached = await env.EDGE_KV.get(key);
if (cached) return JSON.parse(cached);
// Fall back to central database
const data = await fetchFromCentral(key);
// Cache at edge for next request
await env.EDGE_KV.put(key, JSON.stringify(data), {
expirationTtl: 60,
});
return data;
}
Measuring Edge Performance
// Instrument your edge functions
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const start = Date.now();
const colo = request.cf?.colo; // Edge location
try {
const response = await handleRequest(request, env);
// Log to analytics
env.ANALYTICS.writeDataPoint({
blobs: [colo, request.url],
doubles: [Date.now() - start],
indexes: [request.cf?.country],
});
return response;
} catch (error) {
// Error tracking
console.error(`Edge error at ${colo}:`, error);
throw error;
}
},
};
Cost Optimization
Edge computing can get expensive. Keep costs down:
- Cache aggressively - Every cache hit saves compute
- Use edge for routing - Heavy compute stays in region
- Batch edge writes - Reduce Durable Object transactions
- Monitor per-region costs - Some POPs cost more
What’s Next
Edge computing in 2026 is about picking the right tool:
- Cloudflare/Fastly: Serverless edge, great DX
- AWS Wavelength: When you need 5G carrier integration
- Self-hosted edge: Maximum control, maximum complexity
Start with serverless edge for new projects. Graduate to Wavelength when latency requirements demand it.
Building edge applications? The key is thinking about data locality from day one—not bolting it on later.
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