<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Performance on Sreevardhan Reddy — Software Developer</title><link>https://sreevardhanreddi.github.io/categories/performance/</link><description>Recent content in Performance on Sreevardhan Reddy — Software Developer</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Mon, 05 Jun 2023 11:04:24 +0530</lastBuildDate><atom:link href="https://sreevardhanreddi.github.io/categories/performance/index.xml" rel="self" type="application/rss+xml"/><item><title>Unveiling the Performance Gap: Vms vs Docker Containers</title><link>https://sreevardhanreddi.github.io/blogs/unveiling-the-performance-gap-vms-vs-docker-containers/</link><pubDate>Mon, 05 Jun 2023 11:04:24 +0530</pubDate><guid>https://sreevardhanreddi.github.io/blogs/unveiling-the-performance-gap-vms-vs-docker-containers/</guid><description>In the world of application deployment, two popular options have emerged: running applications on virtual machines (VMs) and using Docker containers. While both approaches have their merits, performance is a critical factor to consider. In this article, we will compare the performance differences between running an application on a VM and running it in a Docker container.
Understanding Virtual Machines (VMs) Virtual machines are essentially emulated hardware environments that run on a physical server.</description></item></channel></rss>