<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scaling on Blog by Krishna Alagiri.</title><link>https://thekrishna.in/blogs/tags/scaling/</link><description>Recent content in Scaling on Blog by Krishna Alagiri.</description><generator>Hugo</generator><language>en-us</language><copyright>Written with ❤️️ by Krishna.</copyright><lastBuildDate>Fri, 26 Jun 2020 01:00:14 +0530</lastBuildDate><atom:link href="https://thekrishna.in/blogs/tags/scaling/index.xml" rel="self" type="application/rss+xml"/><item><title>Scaling with Nginx; Cost-Performance analysis</title><link>https://thekrishna.in/blogs/blog/nginx-scaling/</link><pubDate>Fri, 26 Jun 2020 01:00:14 +0530</pubDate><guid>https://thekrishna.in/blogs/blog/nginx-scaling/</guid><description>&lt;p>When you realize your system is getting slow and is unable to handle the current number of requests even with optimizations, you need to scale the system sooner than you can optimize further. Building a scalable system also drives to a lower Total Cost of Ownership (TCO). Proper scaling in process-intensive applications embraces interesting new scenarios, notably in data analytics and machine learning. Traditionally, you have two options, Horizontal scaling, and Vertical scaling.&lt;/p></description></item></channel></rss>