<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>ELK Stack on Nubis Morocco</title>
    <link>https://nubis.ma/tags/elk-stack/</link>
    <description>Recent content in ELK Stack on Nubis Morocco</description>
    <generator>Hugo -- 0.148.1</generator>
    <language>en</language>
    <lastBuildDate>Wed, 21 Jan 2026 15:18:10 +0100</lastBuildDate>
    <atom:link href="https://nubis.ma/tags/elk-stack/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>How hackers can find your exposed Elasticsearch clusters using Shodan!</title>
      <link>https://nubis.ma/blog/shodan-elasticsearch/</link>
      <pubDate>Thu, 25 Jun 2020 10:00:00 +0000</pubDate>
      <guid>https://nubis.ma/blog/shodan-elasticsearch/</guid>
      <description>For the last couple of months, I have been exploring Elasticsearch and I even shared some articles about it talking about how impressive the technology behind it is and how it can be used with othe&amp;hellip;</description>
    </item>
    <item>
      <title>Machine learning on Elastic Search using Apache Spark and ES-Hadoop — Part 2</title>
      <link>https://nubis.ma/blog/machine-learning-elasticsearch-part2/</link>
      <pubDate>Sun, 31 May 2020 10:00:00 +0000</pubDate>
      <guid>https://nubis.ma/blog/machine-learning-elasticsearch-part2/</guid>
      <description>In the previous article (Part1), we installed the ELK stack along with the ES-Hadoop connector and spark, then we did some visualizations in Kibana with the houses price prediction data set from ka&amp;hellip;</description>
    </item>
    <item>
      <title>Machine learning on Elastic Search using Apache Spark and ES-Hadoop — Part 1</title>
      <link>https://nubis.ma/blog/ml-with-spark-on-elk/</link>
      <pubDate>Wed, 11 Mar 2020 10:00:00 +0000</pubDate>
      <guid>https://nubis.ma/blog/ml-with-spark-on-elk/</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Before digging into any technical details, I will start with brief descriptions of the tools that I will be using for the tutorials (this part and the coming ones).&lt;/p&gt;&lt;/blockquote&gt;</description>
    </item>
  </channel>
</rss>
