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      <title>Kafka for Mere Mortals #2</title>
      <link>https://queil.net/2018/06/kafka-for-mere-mortals-2/</link>
      <pubDate>Sun, 03 Jun 2018 22:30:50 +0100</pubDate>
      <guid>https://queil.net/2018/06/kafka-for-mere-mortals-2/</guid>
      <description>&lt;p&gt;&lt;em&gt;I recommend to start with &lt;a href=&#34;https://queil.net/2017/10/kafka-for-mere-mortals-1/&#34;&gt;the previous part&lt;/a&gt; of the series before going ahead unless you have already read it.&lt;/em&gt;&lt;/p&gt;&#xA;&#xA;&lt;h2 id=&#34;kafka-as-a-distributed-system&#34; class=&#34;anchor-link&#34;&gt;&lt;a href=&#34;#kafka-as-a-distributed-system&#34;&gt;Kafka as a distributed system&lt;span class=&#34;pilcrow&#34;&gt;&amp;nbsp;¶&lt;/span&gt;&lt;/a&gt;&lt;/h2&gt;&#xA;&lt;p&gt;Kafka is designed as a distributed system to achieve horizontal scalability, high availability (HA), and data redundancy. Horizontal scalability means we can keep adding more and more nodes to a cluster to handle virtually any imaginable load&lt;sup id=&#34;fnref:1&#34;&gt;&lt;a href=&#34;#fn:1&#34; class=&#34;footnote-ref&#34; role=&#34;doc-noteref&#34;&gt;1&lt;/a&gt;&lt;/sup&gt;. High availability describes a system that is always operational even if some of its components fail or get disconnected. Data redundancy is employed to ensure there is no data loss or corruption.&lt;/p&gt;</description>
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      <title>Kafka for Mere Mortals #1</title>
      <link>https://queil.net/2017/10/kafka-for-mere-mortals-1/</link>
      <pubDate>Sun, 01 Oct 2017 23:31:44 +0100</pubDate>
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      <description>&lt;p&gt;&lt;em&gt;This series of posts is an attempt to explain what Apache Kafka is and to show some benefits of using it side by side with a relational database in a .NET (or really any) distributed solution. I am by no means expert in any of those technologies so take all of that with a pinch of salt. I am assuming you will have a basic knowledge of relational databases and some experience in building applications.&lt;/em&gt;&lt;/p&gt;</description>
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