<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Real-Time-Analytics on Pi Stack</title>
    <link>https://www.pistack.xyz/tags/real-time-analytics/</link>
    <description>Recent content in Real-Time-Analytics on Pi Stack</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Tue, 16 Jun 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://www.pistack.xyz/tags/real-time-analytics/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Self-Hosted Complex Event Processing: Siddhi vs Esper vs Apache Flink CEP</title>
      <link>https://www.pistack.xyz/posts/2026-06-16-self-hosted-complex-event-processing-siddhi-esper-flink-cep/</link>
      <pubDate>Tue, 16 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://www.pistack.xyz/posts/2026-06-16-self-hosted-complex-event-processing-siddhi-esper-flink-cep/</guid>
      <description>&lt;h2 id=&#34;why-complex-event-processing-matters&#34;&gt;Why Complex Event Processing Matters&lt;/h2&gt;&#xA;&lt;p&gt;Modern applications generate continuous streams of events: sensor readings from IoT devices, transaction logs from payment systems, click events from web applications, and telemetry from microservices. Complex Event Processing (CEP) engines detect meaningful patterns across these event streams — spotting fraud in real-time, triggering alerts when sensor readings exceed thresholds, or identifying multi-step user journeys.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
