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Loading...Introduction to Real-Time Analytics
When I first tried to build a real-time analytics dashboard, I realized that the official documentation for React and Laravel didn't cover the nuances of handling high-scale data streams. Our team had scaled to 10M requests/day, and we needed a solution that could keep up. Here's what I learned when trying to integrate these two powerful technologies.
The Problem with Traditional Approaches
Most docs skip the hard part: handling real-time data efficiently. I discovered that traditional approaches to analytics, such as polling the server for updates, quickly become impractical at scale. The default Laravel approach fails at scale due to the sheer number of requests.
Our Solution: Using WebSockets and Laravel Echo
We chose to use WebSockets for real-time communication, and Laravel Echo for simplifying the process. I realized that using WebSockets allows for bi-directional, real-time communication between the client and server, which is perfect for our use case.
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