<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Kafka on Mayukh Datta</title>
    <link>http://localhost:63790/tags/kafka/</link>
    <description>Recent content in Kafka on Mayukh Datta</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en</language>
    <copyright>© 2026 Mayukh Datta</copyright>
    <lastBuildDate>Wed, 15 Oct 2025 00:00:00 +0000</lastBuildDate><atom:link href="http://localhost:63790/tags/kafka/index.xml" rel="self" type="application/rss+xml" />
    
    <item>
      <title>Kafka Deep Dive For System Design Interviews</title>
      <link>http://localhost:63790/2025/10/kafka-deep-dive-for-system-design-interviews/</link>
      <pubDate>Wed, 15 Oct 2025 00:00:00 +0000</pubDate>
      
      <guid>http://localhost:63790/2025/10/kafka-deep-dive-for-system-design-interviews/</guid>
      <description>&lt;p&gt;In this deep dive, we’re going to peel back the layers of Kafka and understand it from every angle—what it is, why teams reach for it, when it’s the right tool for the job, and how it actually works under the hood. We’ll take a question-and-answer approach so the concepts click faster and stay with you longer. Think of it as both a guided tour of Kafka and a quick reference you can revisit before your next interview.&lt;/p&gt;</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="http://localhost:63790/2025/10/kafka-deep-dive-for-system-design-interviews/feature.jpg" />
    </item>
    
  </channel>
</rss>
