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Client: Studio Pret/Industry: E-Commerce

Studio Pret

3 million daily requests handled with approximately 0 errors.

Load Spikes Handled3,000,000+

Continuous client requests processed daily without connection limits or database crashes.

Transaction Rate1,000/hr

Live sales transactions settled on edge database instances under massive concurrency pressure.

The Failure / Problem

Database Lockups

Studio Pret's e-commerce storefront crashed consistently during collection launches. Their legacy database connections locked up under concurrent traffic, resulting in lost shopping carts and abandoned checkout flows.

The Resolution / Solution

Edge Serverless Rebuild

We rebuilt the application using Svelte and migrated the backend entirely to Cloudflare's serverless platform. By utilizing Cloudflare D1 for transactional data and Cloudflare KV for high-speed catalog caching, the platform now handles massive traffic spikes automatically.

Execution Path

1

Audit & Simulation: Stress-tested the legacy backend to locate connection bottlenecks.

2

Database Migration: Refactored database schemas to run efficiently on D1 SQL.

3

Svelte Frontend Implementation: Engineered an optimized checkout flow with minimal script overhead.

4

Cutover: Executed a zero-downtime migration under live production traffic.

"Kryft took a system that was bleeding revenue every launch and stabilized it. We haven't had a database crash since."

— Ayesha Khan, Operations Director at Studio Pret

Core Stack

  • Svelte & SvelteKit
  • Cloudflare Workers (Edge Compute)
  • Cloudflare D1 (Serverless SQLite)
  • Drizzle ORM for database migrations

Under-the-hood Challenge

Replicating ACID transactional behavior across edge nodes without adding round-trip latency. We addressed this by batching mutations at the edge node nearest to the transactional boundary.

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