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    <title>Stability-Pattern on Micha Kops&#39; Tech Notes</title>
    <link>https://www.hascode.com/tags/stability-pattern/</link>
    <description>Recent content in Stability-Pattern on Micha Kops&#39; Tech Notes</description>
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    <language>en</language>
    <copyright>Copyright © 2010 - 2025 Micha Kops. #e9d956c0c0154a221ad83c925346a8fa0e72f866</copyright>
    <lastBuildDate>Wed, 02 Dec 2015 00:00:00 +0100</lastBuildDate>
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      <title>Reactive Programming: Handling Service Timeouts and Retries with Retry4j</title>
      <link>https://www.hascode.com/reactive-programming-handling-service-timeouts-and-retries-with-retry4j/</link>
      <pubDate>Wed, 02 Dec 2015 00:00:00 +0100</pubDate>
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      <description>&lt;div id=&#34;preamble&#34;&gt;
&lt;div class=&#34;sectionbody&#34;&gt;
&lt;div class=&#34;paragraph&#34;&gt;
&lt;p&gt;The Reactive Manifesto specifies responsive, resilient, elastic and message-driven as attributes for a reactive application.&lt;/p&gt;
&lt;/div&gt;
&lt;div class=&#34;paragraph&#34;&gt;
&lt;p&gt;When implementing specific mechanisms to achieve this requirements, we often need to deal with timeout and retry-operations in our application and depending on our setup and environment, different tools and libraries exist to help us here.&lt;/p&gt;
&lt;/div&gt;
&lt;div class=&#34;paragraph&#34;&gt;
&lt;p&gt;In the following short tutorial I’d like to demonstrate how to handle exceptions and operation retries on service boundaries with a lesser know, slim library named Retry4j.&lt;/p&gt;
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