Guide to Optimizing Phoenix LiveView for Better Performance

The article discusses the intricacies of Phoenix LiveView, detailing its two operational phases—initial HTML rendering via HTTP and subsequent interactions through WebSockets. It emphasizes the importance of minimizing unnecessary data during the initial render to enhance responsiveness. Suggestions include utilizing the `connected?/1` function to filter data, storing large shared items in ETS tables rather than LiveView's state, and implementing Phoenix PubSub for data sharing among LiveViews. The author highlights the significance of avoiding large data loads during the mount event to prevent delayed rendering, advocating for async operations and streaming for handling vast datasets efficiently. Finally, the article underscores the importance of keeping LiveView interactions responsive and rich while also directing readers to external resources for deeper insights on LiveView optimizations.