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DarshanBattula
DarshanBattula

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I Built a Lightweight API Cache Because Redis Felt Like Overkill

#webdev #ai #programming #javascript

Every backend developer hits this moment:

Your API is working fine…
Until suddenly it’s not.

  • Too many requests
  • Slower responses
  • Repeated database/API calls
  • Same data being fetched again and again

And you realize:

“I need caching.”

🚧 The Problem

So naturally, you look into caching solutions.

And what do you find?

  • Redis
  • Distributed caching
  • Complex setups
  • Extra infrastructure

For many projects, especially small to medium apps, this feels like:

bringing a truck when all you needed was a bicycle

I didn’t want:

  • extra services
  • deployment complexity
  • infrastructure overhead

I just wanted something simple.

💡 The Idea

What if caching could be:

  • Plug-and-play
  • In-memory
  • Middleware-based
  • Works instantly

No Redis. No setup. No headaches.

That’s how Cachify was born.

👉 https://github.com/darshan1005/Cachify
👉 https://www.npmjs.com/package/memcachify

⚡ What Cachify Does

Cachify is a lightweight caching layer for Node.js APIs.

It helps you:

  • Cache API responses instantly
  • Reduce redundant requests
  • Improve response time
  • Keep your app simple

Caching is commonly used to avoid repeated expensive operations and improve performance. ([jsDelivr][1])

🔥 Why I Built It

In multiple projects, I kept rewriting the same logic:

// Check cache
// If not present → fetch data
// Store in cache
// Return response
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Again. And again. And again.

It felt repetitive.

And worse:

  • Easy to get wrong
  • Hard to maintain
  • Scattered across code

So I thought:

Why not turn this into a reusable middleware?

🛠️ Example Usage

Instead of writing caching logic manually:

app.get("/users", async (req, res) => {
  const users = await fetchUsers();
  res.json(users);
});
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You can just do:

import { cache } from "memcachify";

app.get("/users", cache({ ttl: 60 }), async (req, res) => {
  const users = await fetchUsers();
  res.json(users);
});
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And that’s it.

✨ Features

  • 🧠 In-memory caching
  • ⏱ TTL (Time-To-Live) support
  • ⚡ Fast lookup (Map-based)
  • 🔌 Easy Express integration
  • 🧹 Cache invalidation helpers

🧠 What I Learned

1. Simplicity Wins

Most developers don’t need distributed caching on day one.

2. Developer Experience Matters

If something takes more than 2 minutes to set up, people won’t use it.

3. Repeated Problems = Opportunity

If you solve the same issue multiple times, it’s worth building a tool.

⚖️ When to Use (and Not Use)

✅ Use Cachify when:

  • Small to medium apps
  • MVPs / prototypes
  • Internal tools
  • Low infra complexity

❌ Don’t use it when:

  • You need distributed caching
  • You have multiple server instances
  • You need persistence across restarts

🌱 What’s Next

I’m planning to add:

  • Fastify support
  • Smarter cache key strategies
  • Better invalidation APIs
  • Optional persistence layer

🙌 Feedback

This is still evolving, and I’d love your thoughts:

  • What features would you want?
  • How do you handle caching today?
  • Would you use something like this?

🔗 Links

🎯 Final Thought

Not every problem needs a heavy solution.

Sometimes, a simple tool that works instantly is exactly what developers need.

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