<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Distributed Systems</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Distributed Systems feed</description>
    <item>
      <title>Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents</title>
      <link>https://www.infoq.com/news/2026/08/instacart-blueberry-sre-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/instacart-blueberry-sre-ai/en/headerimage/generatedHeaderImage-1785721280661.jpg"/&gt;&lt;p&gt;Instacart introduced Blueberry, an AI-assisted incident response system that helps on-call engineers investigate production issues faster. It combines AI agents, operational data, and historical incident knowledge to generate grounded root cause hypotheses in Slack. It uses parallel subagents, MCP integrations, and incident history to reduce investigation time while keeping engineers in control.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Site Reliability Engineering</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Operational Intelligence</category>
      <category>Developer Experience</category>
      <category>Large language models</category>
      <category>Distributed Systems</category>
      <category>Reliability</category>
      <category>Incident Response</category>
      <category>Slack</category>
      <category>Observability</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 07 Aug 2026 14:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/instacart-blueberry-sre-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-07T14:34:00Z</dc:date>
      <dc:identifier>/news/2026/08/instacart-blueberry-sre-ai/en</dc:identifier>
    </item>
    <item>
      <title>JioHotstar Explains the Distributed Engineering behind Personalized Ad Requests at Streaming Scale</title>
      <link>https://www.infoq.com/news/2026/08/jiohotstar-ad-decisioning-flow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/jiohotstar-ad-decisioning-flow/en/headerimage/generatedHeaderImage-1785711356085.jpg"/&gt;&lt;p&gt;JioHotstar explains the distributed architecture behind its real-time ad request workflow, covering ad decisioning, waterfall tiering, pacing algorithms, latency optimization, and service coordination required to select and deliver personalized advertisements during streaming playback at scale.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Data-Driven Decision Making Series</category>
      <category>Video Codec</category>
      <category>Architecture</category>
      <category>Scalability</category>
      <category>Streaming</category>
      <category>Microservices</category>
      <category>Algorithms</category>
      <category>Decision Trees</category>
      <category>Streaming Video</category>
      <category>Distributed Systems</category>
      <category>Technology</category>
      <category>Advertising</category>
      <category>Low Latency</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 05 Aug 2026 14:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/jiohotstar-ad-decisioning-flow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-05T14:09:00Z</dc:date>
      <dc:identifier>/news/2026/08/jiohotstar-ad-decisioning-flow/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Introduces Meerkat for Strongly Consistent Global Coordination</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-meerkat-consensus/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-meerkat-consensus/en/headerimage/generatedHeaderImage-1784096459205.jpg"/&gt;&lt;p&gt;Cloudflare recently introduced Meerkat, an internal globally consistent control-plane service based on the QuePaxa consensus algorithm. Unlike Raft, it allows leaderless writes while preserving strong consistency, improving availability across Cloudflare's global network.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Availability</category>
      <category>Consistency</category>
      <category>Cloudflare</category>
      <category>Distributed Systems</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 02 Aug 2026 06:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-meerkat-consensus/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-08-02T06:17:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-meerkat-consensus/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Parting the Clouds: the Rise of Disaggregated Systems</title>
      <link>https://www.infoq.com/presentations/disaggregation-industrial-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</link>
      <description>&lt;img src="https://res.infoq.com/presentations/disaggregation-industrial-systems/en/mediumimage/murat-demirbas-medium-1784809202010.jpg"/&gt;&lt;p&gt;Murat Demirbas discusses the shift toward disaggregated cloud database architectures driven by cloud economics. He explains how decoupling compute from storage enables elastic scaling, cost efficiency, and fault isolation. He shares how classical Paxos roles foreshadowed disaggregation, while analyzing network tradeoffs, shared-memory evolution, and self-assembling database designs.&lt;/p&gt; &lt;i&gt;By Murat Demirbas&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Database</category>
      <category>QCon San Francisco 2025</category>
      <category>Distributed Systems</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 30 Jul 2026 13:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/disaggregation-industrial-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</guid>
      <dc:creator>Murat Demirbas</dc:creator>
      <dc:date>2026-07-30T13:50:00Z</dc:date>
      <dc:identifier>/presentations/disaggregation-industrial-systems/en</dc:identifier>
    </item>
  </channel>
</rss>
