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Amazon found that every 100 milliseconds of latency cost them 1% in sales. Google found an extra .5 seconds in search page generation time dropping the traffic by 20%. These are staggering implications. If there’s just one thing you can optimize your system for, I’d recommend trying to go for low-latency. Therefore, I compiled a list of 8 must-know strategies for low latency that can literally save your business from disaster. (don't forget to bookmark) ✅ Caching - Use caching to store frequently accessed data - The goal of caching is to minimize costly database lookups and heavy computations ✅ CDN - Take caching further by using a CDN. - CDNs can help cache content closer to the users - This reduces latency. ✅ Pre-caching and Pre-rendering - Use predictive techniques to pre-cache and pre-render pages - Since the pages are already rendered, you can serve the incoming requests much faster ✅ Database Indexing - Databases are a huge reason for high latency. - Ensure databases are well-indexed so queries can run faster - Also, optimize queries by analyzing and refactoring slow database queries ✅ Load Balancing - Distribute incoming traffic evenly across multiple servers with load balancers - This prevents any single server from becoming a bottleneck ✅ Async Processing - Implement async processing wherever applicable for long-running tasks. - This lets your system respond quickly to the user while performing further processing in the background. ✅ Compression - Compress data before sending it over the network. - This decreases transfer time and reduces the overall latency. ✅ Keep-Alive Connections - Reuse TCP connections wherever possible. - This helps avoid the overhead of re-establishing connections for new requests - Also, maintain a pool of established connections === That's all for now! If you enjoyed this post: - Destroy the LIKE button - REPOST to spread the word - BOOKMARK to revisit the post whenever needed - Follow me for more posts like this.
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