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    <title>InfoQ - Infrastructure</title>
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    <description>InfoQ Infrastructure feed</description>
    <item>
      <title>FreeCORE: TrueNAS Fork Maintaining Deeply Integrated Virtualization, Jails, and OpenZFS on FreeBSD</title>
      <link>https://www.infoq.com/news/2026/09/freecore-truenas-fork/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/freecore-truenas-fork/en/headerimage/generatedHeaderImage-1788673814182.jpg"/&gt;&lt;p&gt;TrueNAS CORE has been the standard for open-source storage using FreeBSD and OpenZFS. The shift to TrueNAS SCALE, based on Debian, left some users needing alternatives. FreeCORE upgrades TrueNAS CORE to FreeBSD 15.0, restoring essential features like FreeBSD Jails. While it satisfies certain administrators' needs, its long-term sustainability and maintenance by a single individual raise concerns.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Fork</category>
      <category>FreeBSD</category>
      <category>Linux</category>
      <category>Storage</category>
      <category>Infrastructure</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 06 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/freecore-truenas-fork/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-06T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/freecore-truenas-fork/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: A Few Predicted Talks From QConAI 2030</title>
      <link>https://www.infoq.com/presentations/ai-predictions-2030/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-predictions-2030/en/mediumimage/meryem-arik-medium-1785845650090.jpg"/&gt;&lt;p&gt;Meryem Arik discusses her predictions for software engineering in 2030. She explains how token spend management, parallel agent infrastructure, and non-technical builders will reshape IT. She shares insights on agent-driven vendor decisions, upcoming regulatory hurdles, and why software engineers must pivot from pure coding skills toward product leadership and multi-agent coordination.&lt;/p&gt; &lt;i&gt;By Meryem Arik&lt;/i&gt;</description>
      <category>Patterns</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Regulation</category>
      <category>Governance</category>
      <category>Technology Trends</category>
      <category>Transcripts</category>
      <category>Infrastructure</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Sat, 05 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-predictions-2030/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Meryem Arik</dc:creator>
      <dc:date>2026-09-05T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-predictions-2030/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond Prompting: Context Engineering for Production-Grade AI</title>
      <link>https://www.infoq.com/presentations/context-engineering-redis-llm-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/presentations/context-engineering-redis-llm-architecture/en/mediumimage/ricardo-ferreira-medium-1787820318843.jpg"/&gt;&lt;p&gt;Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural strategies for integrating long-term and short-term memory using Redis, managing LLM token limits via summarization, mitigating context rot with reranking and semantic caching, and controlling exponential API costs under strict latency constraints.&lt;/p&gt; &lt;i&gt;By Ricardo Ferreira&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>LangChain4j</category>
      <category>Large language models</category>
      <category>Redis</category>
      <category>Generative AI</category>
      <category>Caching</category>
      <category>Transcripts</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 02 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/context-engineering-redis-llm-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Ricardo Ferreira</dc:creator>
      <dc:date>2026-09-02T11:00:00Z</dc:date>
      <dc:identifier>/presentations/context-engineering-redis-llm-architecture/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash’s Flux Runs 130,000 Engineering Tasks through Cloud-Based Agents</title>
      <link>https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks in one month and supports more than 25,000 automated code reviews weekly. Flux uses isolated Firecracker microVMs, an MCP gateway, reusable playbooks, and multiple invocation surfaces to run agent workflows with scoped access and centralized auditing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>AI Security</category>
      <category>Continuous Improvement</category>
      <category>AI Coding</category>
      <category>VM</category>
      <category>AI Harness</category>
      <category>Code Reviews</category>
      <category>Agents</category>
      <category>Developer Experience</category>
      <category>Cloud</category>
      <category>Software Engineering</category>
      <category>Continuous Deployment</category>
      <category>AIOps</category>
      <category>Infrastructure</category>
      <category>AI Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 14:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-31T14:28:00Z</dc:date>
      <dc:identifier>/news/2026/08/doordash-flux-cloud-agent/en</dc:identifier>
    </item>
    <item>
      <title>Uber Builds GitFarm to Run Git Operations as a Service for Large-Scale Monorepos</title>
      <link>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Uber’s GitFarm provides Git operations as a centralized service, eliminating local repository clones across large scale monorepo workloads. The platform uses prewarmed checkouts, ephemeral sandboxes, repository synchronization, and gRPC streaming to reduce resource consumption and startup latency for automation services operating across thousands of repositories.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Continuous Integration</category>
      <category>Microservices</category>
      <category>Continuous Delivery</category>
      <category>Repository</category>
      <category>Distributed Systems</category>
      <category>GitLab</category>
      <category>gRPC</category>
      <category>github</category>
      <category>Agents</category>
      <category>Developer Experience</category>
      <category>Management</category>
      <category>git</category>
      <category>GitOps</category>
      <category>Infrastructure</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-28T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/uber-gitfarm-git-as-a-service/en</dc:identifier>
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