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Latest technical intelligence from Northeast India • Infrastructure, AI, Cloud & Security Analysis • Precision Analysis | Raw Intelligence | Your North Star of Tech Latest technical intelligence from Northeast India • Infrastructure, AI, Cloud & Security Analysis • Precision Analysis | Raw Intelligence | Your North Star of Tech
WEBDEV

Analysis: Benchmarking Socket.IO Servers

Comparative Analysis of Socket.IO Servers in North East India

Comparative Analysis of Socket.IO Servers in North East India

In the fast-paced world of real-time web applications, choosing the right backend infrastructure is crucial. This article presents a comparative analysis of four different combinations of runtime (Bun, Node.js) and websocket server (ws, uWebSockets.js, bun engine) when used with Socket.IO, focusing on their performance under load. This analysis is particularly relevant for developers in North East India, given the growing demand for real-time applications.

Performance Under Light Load (0-800 Clients)

Under light load, the bun servers demonstrated significantly lower event loop lag (approximately 0ms), making them the frontrunner. However, Node.js with uWebSockets.js (Node-uWS) was the most stable, with minimal latency (~5ms). The websocket servers, both bun and Node, showed a slight increase in latency (up to 15-20ms), while the other two remained rock-solid.

Relevance to North East India

This comparison provides valuable insights for developers in North East India, helping them make informed decisions about the best runtime and websocket server combinations for their real-time web applications. The findings suggest that using Node.js with uWebSockets.js (Node-uWS) offers stability under light load, while Bun servers provide superior performance in terms of event loop lag.

Performance Under Heavy Load (800-3,300 Clients)

As the client count increased, Node.js with the default Socket.IO (Node-ws) struggled to handle the load, showing high latency and event loop lag. In contrast, Node-uWS maintained stable performance with low latency and event loop lag, even at high client counts. Unfortunately, Bun's websocket servers, bun-ws and bun-native, also showed signs of strain under heavy load.

Relevance to North East India

This section highlights the importance of choosing the right combination of runtime and websocket server for scalable real-time applications in North East India. The findings suggest that while Bun servers might be promising, they currently struggle under heavy load, whereas Node.js with uWebSockets.js (Node-uWS) maintains stability and performance even under high client counts.

Memory Usage

Interestingly, Node-uWS showed an unusual dip in memory usage at certain points, which gradually built back up. On the other hand, Bun servers generally used less memory, demonstrating impressive memory management capabilities.

Relevance to North East India

This finding underscores the importance of considering memory usage when choosing a runtime and websocket server combination for real-time applications in North East India. The lower memory usage of Bun servers could potentially lead to improved server efficiency and cost savings.

Implications and Future Considerations

This analysis suggests that for real-time web applications in North East India, using Node.js with uWebSockets.js (Node-uWS) offers a stable and efficient solution, especially under heavy load. However, it's essential to consider the specific requirements of each application when making a final decision. Future developments in Bun's bun-engine and Socket.IO could potentially improve the performance of Bun servers.