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      <title>Airbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features</title>
      <link>https://www.infoq.com/news/2026/05/airbnb-privacy-identity-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/airbnb-privacy-identity-model/en/headerimage/generatedHeaderImage-1777161122220.jpg"/&gt;&lt;p&gt;Airbnb has redesigned its identity system to support privacy-first social features in Experiences. The platform introduces context-specific profiles that separate global user identity from externally visible profiles, preventing cross-context linkage. The migration leveraged automated auditing, manual validation, and AI-assisted refactoring to enforce correct identity usage across services.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Access Control</category>
      <category>migration</category>
      <category>Security</category>
      <category>Social Networking</category>
      <category>Distributed Systems</category>
      <category>Authorization</category>
      <category>Data Privacy</category>
      <category>Platform Engineering</category>
      <category>AI Assisted Coding</category>
      <category>Identity Management</category>
      <category>Relationship</category>
      <category>Privacy</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
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      <category>news</category>
      <pubDate>Wed, 13 May 2026 14:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/airbnb-privacy-identity-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-13T14:46:00Z</dc:date>
      <dc:identifier>/news/2026/05/airbnb-privacy-identity-model/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache Druid</title>
      <link>https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/netflix-druid-interval-cache/en/headerimage/generatedHeaderImage-1777092326529.jpg"/&gt;&lt;p&gt;Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Data Analytics</category>
      <category>Observability</category>
      <category>Caching</category>
      <category>Distributed Systems</category>
      <category>Optimization</category>
      <category>Apache</category>
      <category>Time Series Data</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 11 May 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-11T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/05/netflix-druid-interval-cache/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows</title>
      <link>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/openai-websocket-responses-api/en/headerimage/generatedHeaderImage-1777845282531.jpg"/&gt;&lt;p&gt;OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40 percent by replacing HTTP request-response cycles with persistent connections, improving streaming, tool execution, and multi-step orchestration in production-scale AI systems.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>OpenAI</category>
      <category>Realtime API</category>
      <category>API</category>
      <category>Workflow Foundation</category>
      <category>AI Architecture</category>
      <category>Optimization</category>
      <category>Orchestration</category>
      <category>WebSocket</category>
      <category>Large language models</category>
      <category>Low Latency</category>
      <category>Distributed Systems</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>AI Assisted Coding</category>
      <category>SDK</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 14:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-07T14:48:00Z</dc:date>
      <dc:identifier>/news/2026/05/openai-websocket-responses-api/en</dc:identifier>
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