Key Concepts

Here are a few terms we’ll use throughout this case study, explained simply:

• RPS (Requests Per Second): A measure of how many requests a system can handle in one second. In this case, increasing from 50 RPS to 5,000 RPS means the system can now handle 100x more user traffic without crashing.
• Serverless Architecture: A modern way of building applications where servers are managed by cloud providers (like Cloudflare). This allows for better scalability and cost efficiency, as resources are automatically adjusted based on demand.
• Cloudflare Workers: A serverless technology that processes requests close to the user, ensuring faster response times and the ability to handle more traffic globally.
• Durable Objects: A feature of Cloudflare Workers that manages data consistency and coordination across high-traffic environments, ensuring smooth operations even under heavy load.

Business Problem

The client struggled with an API that couldn’t handle sudden traffic spikes, causing serious business challenges:

• Frustrated Customers: Downtime and delays led to poor user experiences.
• Revenue Loss: Crashes during peak times meant missed sales opportunities.
• Growth Limitations: The system couldn’t scale to meet increasing demand.

They needed a reliable solution to handle traffic surges, maintain performance, and ensure a seamless experience for their customers.

Our Solution

We designed a scalable, efficient backend solution to eliminate bottlenecks and ensure reliability during high traffic. To achieve this, we implemented a serverless architecture using Cloudflare Workers. Here’s what we delivered:

• Seamless Integration: We replicated their existing API structure, making the transition as simple as updating a single URL in the frontend.
• Serverless Scalability: By leveraging Cloudflare Workers, we distributed request processing across a global network, ensuring high availability and minimal latency during traffic surges.
• Optimized Coordination: Using Cloudflare Durable Objects, we maintained backend consistency and efficient resource management, even during peak loads.

This architecture transformed their backend into a system capable of handling up to 5,000 requests per second — a 100x improvement — without requiring significant infrastructure overhead or manual scaling efforts.

Results

Our solution delivered measurable results that drove real business impact:

• 100x Scalability: Increased capacity from 50 to 5,000 requests per second, effortlessly managing peak traffic.
• Better User Experience: Faster response times ensured smooth, reliable interactions for their customers.
• Increased Reliability: The system eliminated downtime, protecting revenue and building trust with users.

With this new foundation, the client can confidently scale their business and meet growing customer demands without interruptions.