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      <title>Olson and Söderqvist Discuss Valkey’s Evolution and Future Past Caching Use Cases at OSS EU</title>
      <link>https://www.infoq.com/news/2026/10/valkey-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Redis</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Valkey is a growing project, launched as a fork of Redis over two years ago, supported by twelve maintainers and nine committee members from various companies. Recent developments include enhanced throughput, improved cluster functionality, and plans for features like synchronous replication and tiered storage. The project also emphasises security and release efficiency through automation.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Valkey</category>
      <category>Redis</category>
      <category>Distributed Cache</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 09 Oct 2026 09:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/valkey-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Redis</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-10-09T09:09:00Z</dc:date>
      <dc:identifier>/news/2026/10/valkey-evolution/en</dc:identifier>
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    <item>
      <title>Article: Building a Session-Ordered Kafka Pipeline in Go</title>
      <link>https://www.infoq.com/articles/apache-kafka-golang-session-ordered-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Redis</link>
      <description>&lt;img src="https://res.infoq.com/articles/apache-kafka-golang-session-ordered-pipeline/en/headerimage/apache-kafka-golang-session-ordered-pipeline-header-1790945957360.jpg"/&gt;&lt;p&gt;The article describes a custom implementation that provides a session-level ordering on top of Apache Kafka partitions, supporting strict message ordering across 1000s of independent channels. The solution required application-level routing, consistent hashing, retries, and contiguous watermark commits. Engineers conducted operational hardening supported by extensive performance testing.&lt;/p&gt; &lt;i&gt;By Joshua Oluikpe&lt;/i&gt;</description>
      <category>Event Driven Architecture</category>
      <category>Redis</category>
      <category>Apache Kafka</category>
      <category>Event Stream Processing</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Wed, 07 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/apache-kafka-golang-session-ordered-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Redis</guid>
      <dc:creator>Joshua Oluikpe</dc:creator>
      <dc:date>2026-10-07T09:00:00Z</dc:date>
      <dc:identifier>/articles/apache-kafka-golang-session-ordered-pipeline/en</dc:identifier>
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