Exploring Edge Computing with Cloudflare Workers
Bridge Group Solutions

Bridge Group Solutions @bridgegroupsolutions

About: BRIDGE GROUP SOLUTION - LEADERS IN WEB & MOBILE DESIGN AND DEVELOPMENT INDUSTRY.

Location:
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Joined:
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Exploring Edge Computing with Cloudflare Workers

Publish Date: Jun 20
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Exploring Edge Computing with Cloudflare Workers

Introduction

Honestly, I was just trying to fix a stupidly slow page load time.

What I found instead was a whole new way to think about deploying code—closer to users, faster than fast, and surprisingly fun to mess around with.

So if you’ve ever thought:

“What even is edge computing?”

or

“Do I need to be some kind of cloud wizard to use Cloudflare Workers?”

Let me walk you through how I went from confused dev to edge enthusiast.


The Day I Realized My App Was the Problem

10:07 PM. Analytics open.

Users in Australia bouncing like I just Rickrolled them.

Turns out, my Node.js backend was living its best life in Virginia, USA. But Sydney users? They were waiting 1.2 seconds just to load product descriptions.

Then a friend asked:

“Have you tried Cloudflare Workers?”

My brain: “That sounds like an Avengers spinoff.”


So… What the Heck Is Edge Computing?

Here’s the gist:

  • Traditional servers = far away (slow)
  • Edge computing = run code close to users (fast)

Cloudflare Workers let you deploy JavaScript (or WASM/Rust) to 300+ global locations.

It’s like CDN meets backend. On steroids.


My First Worker (and Mild Panic)

I expected pain.

I got this:

addEventListener('fetch', event => {
  event.respondWith(
    new Response('Hello from the edge!', {
      headers: { 'content-type': 'text/plain' },
    })
  );
});
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One deploy command later, I got a 30ms response time from my city.

I cackled. Loudly.


Real Use Case: API Proxy at the Edge

I had a weather app. Every user hit the API directly → rate limits died fast.

Solution?

  • Cache API responses with Workers
  • Transform data before sending to frontend
  • Response time: 850ms → 80ms
  • Third-party API usage: cut in half

Sometimes, it felt illegal. (It wasn’t.)


A (Brief, Not-Boring) History of Cloudflare Workers

  • Cloudflare started as a CDN
  • 2017: Cloudflare Workers launched
  • Since then, they added:
    • KV (Key-Value storage)
    • Durable Objects (state at the edge)
    • R2 (S3-compatible object storage, no egress fees)

Now? It’s a full-on platform. Minimal dev pain included.


What Shocked Me (in a Good Way)

  1. Deploys in seconds – No build drama
  2. Global performance – Feels instant anywhere
  3. Built-in security – Isolated, no VMs
  4. Billed by usage – Perfect for indie budgets

Gotchas (Let’s Be Honest)

  • CPU Time Limits – 10ms (or 30ms paid)

    Not ideal for video transcoding.

  • No filesystem – Use KV, R2, or external APIs

  • Debugging – Logging can be tricky, especially with cold starts

Despite all that? It taught me to write leaner, smarter code.


What You Can Actually Build

  • API Proxies & Gateways
  • A/B Testing Engines
  • Dynamic HTML Injectors
  • Authentication Services
  • Entire static or dynamic blogs
  • Real-time content transformers

Basically? If it fits in ~10ms logic, you can probably build it.


How It Changed My Dev Mindset

Before:

“Where’s my server deployed? What’s the cold start time? How much will this scale?”

After Workers:

“How fast can I serve this from the closest edge node?”

Now I think in proximity. In speed. In user-first logic.


Final Thoughts

Cloudflare Workers didn’t just speed up my app.

They reignited my joy for web dev.

  • Insanely fast
  • Surprisingly simple
  • Edge-first mindset

If you’ve got global users, or just hate slow loads—give it a shot.

# Getting started:
npm install -g wrangler
wrangler init my-worker
wrangler dev
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Welcome to the edge.

// You’re gonna love it out here.
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