Best Practices for Building Scalable Realtime Apps

The final part of a blog series on building scalable real-time applications with PubNub and Socket.IO delves into optimizing connections, managing state, and preparing for traffic spikes to enhance application performance. Connection pooling and stateless architecture are recommended for improving efficiency, while scalable databases like MongoDB and Cassandra are suggested for handling increased workloads. Real-time traffic spikes necessitate defining capacity, forecasting demand, planning resources, and continuous monitoring. The text also explores how SaaS companies combat account sharing using PubNub's security patterns and highlights PubNub's role in improving Socket.IO applications with features like rapid data streaming and robust security. Case studies of companies like IntelliScape.io and Disprz illustrate how PubNub aids in scaling real-time operations, while future trends in real-time applications include case-specific databases and low-code platforms. The integration of PubNub with Socket.IO is emphasized for its benefits in scalability, security, and user experience in real-time applications.