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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>OpenAI Introduces Triage Framework and Case Studies to Report Model Misalignment</title>
      <link>https://www.infoq.com/news/2026/09/openai-misalignment-framework/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/openai-misalignment-framework/en/headerimage/generatedHeaderImage-1789701944081.jpg"/&gt;&lt;p&gt;OpenAI has released a disclosure framework for model misalignment during its lifecycle. Employees can flag potential issues, prompting technical staff to label incidents. The initial case studies outline unexpected model behaviours, providing insights into deviations from expected parameters. Community reactions show both approval and scepticism regarding transparency and corporate narratives.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>AI Misalignment</category>
      <category>Frontier Model</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openai-misalignment-framework/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-18T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/09/openai-misalignment-framework/en</dc:identifier>
    </item>
    <item>
      <title>Building an Internal Developer Platform with Artificial Intelligence</title>
      <link>https://www.infoq.com/news/2026/09/platform-artificial-intelligence/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/platform-artificial-intelligence/en/headerimage/platform-artificial-intellgience-header-1789459416087.jpg"/&gt;&lt;p&gt;Agents are becoming the new developer platform, using semantic search with data from tools like Git, Slack, and Jira for context. Things to consider are setting guardrails to block or allow things, and using logs, metrics, and traces to understand agent behavior.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>Platform Engineering</category>
      <category>Agents</category>
      <category>Distributed Tracing</category>
      <category>Metrics</category>
      <category>Artificial Intelligence</category>
      <category>Logging</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 11:11:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/platform-artificial-intelligence/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-09-17T11:11:00Z</dc:date>
      <dc:identifier>/news/2026/09/platform-artificial-intelligence/en</dc:identifier>
    </item>
    <item>
      <title>Kubernetes Multi-Cluster Project Karmada Reaches CNCF Graduation</title>
      <link>https://www.infoq.com/news/2026/09/karmada-kubernetes-cncf/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/karmada-kubernetes-cncf/en/headerimage/generatedHeaderImage-1789562925561.jpg"/&gt;&lt;p&gt;The Cloud Native Computing Foundation (CNCF) announced on September 2026 that Karmada, a multi-cluster and multi-cloud Kubernetes orchestration project, has graduated. This multi-cluster and multi-cloud Kubernetes orchestration project reached CNCF's highest maturity tier.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Orchestration</category>
      <category>Kubernetes</category>
      <category>AI Architecture</category>
      <category>Clusters</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/karmada-kubernetes-cncf/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-09-17T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/karmada-kubernetes-cncf/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: When Incidents Refuse to End</title>
      <link>https://www.infoq.com/presentations/stream-incidents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/stream-incidents/en/mediumimage/vanessa-huerta-medium-1789021024982.jpeg"/&gt;&lt;p&gt;Vanessa Huerta Granda explains how marathon incidents expose the gap between work as imagined and work as done. Drawing from real-world scenarios, she shares how complex outages reveal organizational fragility, human limits, and system interdependencies—and why incident response requires structured endurance, humane rotations, and holistic cross-functional coordination.&lt;/p&gt; &lt;i&gt;By Vanessa Huerta Granda&lt;/i&gt;</description>
      <category>QCon San Francisco 2026</category>
      <category>Transcripts</category>
      <category>Incident Response</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Thu, 17 Sep 2026 09:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/stream-incidents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Vanessa Huerta Granda</dc:creator>
      <dc:date>2026-09-17T09:30:00Z</dc:date>
      <dc:identifier>/presentations/stream-incidents/en</dc:identifier>
    </item>
    <item>
      <title>Repeated VM Escapes By GPT-5.6-Cyber Based Agents Prove  VMs and OS' Require Better Maintenance</title>
      <link>https://www.infoq.com/news/2026/09/agent-escape-vm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/agent-escape-vm/en/headerimage/headerRobotEscape-1789626255584.jpg"/&gt;&lt;p&gt;Traditional virtual machines are inadequate for isolating cyber-capable autonomous agents. Tests using GPT-5.6-Cyber indicated multiple escape attempts due to kernel flaws. While Firecracker provided some containment, vulnerabilities remained. The study underscores the need for minimal attack surface virtualisation technologies and rapid, proactive patching strategies to safeguard host systems.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Virtualization</category>
      <category>AI Security</category>
      <category>VM</category>
      <category>Security Breach</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 07:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/agent-escape-vm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-17T07:07:00Z</dc:date>
      <dc:identifier>/news/2026/09/agent-escape-vm/en</dc:identifier>
    </item>
    <item>
      <title>TanStack Charts Introduced with a Framework Agnostic Grammar of Graphics for TypeScript</title>
      <link>https://www.infoq.com/news/2026/09/tanstack-charts-alpha-introduced/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/tanstack-charts-alpha-introduced/en/headerimage/generatedHeaderImage-1789574181602.jpg"/&gt;&lt;p&gt;TanStack Charts is a new, framework-agnostic visualization library for TypeScript. It allows developers to create visualizations by composing various elements instead of using fixed chart types. Currently in Alpha, it has about 160,000 weekly downloads. The library supports multiple frameworks and is designed for a variety of environments, though it is not yet stable for production use.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Data Visualization</category>
      <category>Angular</category>
      <category>TypeScript</category>
      <category>Vue.js</category>
      <category>React</category>
      <category>React Native</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 05:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/tanstack-charts-alpha-introduced/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-09-17T05:53:00Z</dc:date>
      <dc:identifier>/news/2026/09/tanstack-charts-alpha-introduced/en</dc:identifier>
    </item>
    <item>
      <title>GPT-6 Astra Is the First Model OpenAI Classifies as Critical for Cybersecurity</title>
      <link>https://www.infoq.com/news/2026/09/gpt-6-astra-critical-cyber/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/gpt-6-astra-critical-cyber/en/headerimage/generatedHeaderImage-1789311714190.jpg"/&gt;&lt;p&gt;OpenAI has classified GPT-6 Astra at the Critical cybersecurity threshold under its Preparedness Framework, a first. In expert-led testing the model found previously unknown vulnerabilities in a browser and an OS kernel and built working exploits. The same system card reports a substantial decline in chain-of-thought monitorability.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Agents</category>
      <category>Governance</category>
      <category>Architecture</category>
      <category>Azure</category>
      <category>Machine Learning</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 04:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gpt-6-astra-critical-cyber/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-17T04:59:00Z</dc:date>
      <dc:identifier>/news/2026/09/gpt-6-astra-critical-cyber/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Open-Sources TauGrid to Simplify AI Workload Management on Kubernetes</title>
      <link>https://www.infoq.com/news/2026/09/microsoft-taugrid-open-source/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/microsoft-taugrid-open-source/en/headerimage/microsoft-phi-4-1789581142435.jpeg"/&gt;&lt;p&gt;Microsoft has open-sourced TauGrid, a cloud-native platform designed to manage, schedule, and monitor AI workloads on GPU-enabled Kubernetes clusters.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Orchestration</category>
      <category>Open Source</category>
      <category>Microsoft</category>
      <category>Kubernetes</category>
      <category>Agents</category>
      <category>Azure</category>
      <category>Artificial Intelligence</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/microsoft-taugrid-open-source/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-16T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/microsoft-taugrid-open-source/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads</title>
      <link>https://www.infoq.com/news/2026/09/dropbox-riviera-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Asynchronous Architecture</category>
      <category>Tika</category>
      <category>Apache</category>
      <category>plugins</category>
      <category>Large language models</category>
      <category>Platform Engineering</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Distributed Systems</category>
      <category>Enterprise Content Management</category>
      <category>Architecture</category>
      <category>Data Pipelines</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 14:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/dropbox-riviera-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-16T14:42:00Z</dc:date>
      <dc:identifier>/news/2026/09/dropbox-riviera-ai-platform/en</dc:identifier>
    </item>
    <item>
      <title>Shopify Drops React Native for Swift and Kotlin as AI Changes Cross-Platform Development Tradeoffs</title>
      <link>https://www.infoq.com/news/2026/09/shopify-drops-react-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/shopify-drops-react-native/en/headerimage/generatedHeaderImage-1789561441081.jpg"/&gt;&lt;p&gt;Shopify recently announced it is abandoning React Native to rewrite its flagship apps in Swift and Kotlin. With the significant jump in the quality of AI models, Head of Mobile Mustafa Ali reassessed Shopify’s commitment to React Native, estimating that the benefit/cost ratio of maintaining native codebases across mobile platforms was now above that of using an abstraction layer.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Apple</category>
      <category>Mobile</category>
      <category>Android</category>
      <category>Kotlin</category>
      <category>Swift</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 12:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/shopify-drops-react-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-09-16T12:45:00Z</dc:date>
      <dc:identifier>/news/2026/09/shopify-drops-react-native/en</dc:identifier>
    </item>
    <item>
      <title>Article: Your Next DSL Author Is a Language Model</title>
      <link>https://www.infoq.com/articles/next-dsl-author-language-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/next-dsl-author-language-model/en/smallimage/Your-Next-DSL-Author-Is-a-Language-Model-thumb-1789048983233.jpg"/&gt;&lt;p&gt;In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.&lt;/p&gt; &lt;i&gt;By Irakli Betchvaia&lt;/i&gt;</description>
      <category>DSLs</category>
      <category>Domain Specific Languages</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 16 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/next-dsl-author-language-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Irakli Betchvaia</dc:creator>
      <dc:date>2026-09-16T11:00:00Z</dc:date>
      <dc:identifier>/articles/next-dsl-author-language-model/en</dc:identifier>
    </item>
    <item>
      <title>Lyft Moves Streaming Fleet to Apache Flink Kubernetes Operator</title>
      <link>https://www.infoq.com/news/2026/09/lyft-flink-k8s-operator/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/lyft-flink-k8s-operator/en/headerimage/header-1788786681315.jpeg"/&gt;&lt;p&gt;Lyft has moved hundreds of production Flink jobs from a 2020 in-house Kubernetes operator to the Apache Flink Kubernetes Operator, unlocking last-state upgrades, in-place autoscaling and resource autotuning across the fleet.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Apache Flink</category>
      <category>Kubernetes</category>
      <category>Kubernetes Operator</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/lyft-flink-k8s-operator/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-09-16T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/lyft-flink-k8s-operator/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review</title>
      <link>https://www.infoq.com/presentations/duolingo-ai-literacy-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/duolingo-ai-literacy-code-review/en/mediumimage/sarah-deitke-medium-1788338781338.jpeg"/&gt;&lt;p&gt;Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observability dashboards, then shares a case study on redesigning code review using an automated PR risk-assessment bot. Deitke demonstrates how pairing targeted developer education with safe AI guardrails speeds up delivery without increasing defect rates.&lt;/p&gt; &lt;i&gt;By Sarah Deitke&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>QCon London 2026</category>
      <category>Culture</category>
      <category>Adoption</category>
      <category>Automation</category>
      <category>Metrics</category>
      <category>Code Reviews</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Wed, 16 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/duolingo-ai-literacy-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sarah Deitke</dc:creator>
      <dc:date>2026-09-16T11:00:00Z</dc:date>
      <dc:identifier>/presentations/duolingo-ai-literacy-code-review/en</dc:identifier>
    </item>
    <item>
      <title>Java 27 Delivers Post-Quantum Cryptography, Future Language Innovation, Helidon 27, JavaFX 27</title>
      <link>https://www.infoq.com/news/2026/09/java27-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/java27-released/en/headerimage/java-istock-image-01-1789513423942.jpg"/&gt;&lt;p&gt;Oracle has released version 27 of the Java programming language and virtual machine. As the second non-LTS release since JDK 25, the final feature set includes nine JEPs, five of which are still progressing through the preview and incubator stages. This release focuses on strengthening security, future language innovation, and projects under the auspices of the Java Verified Portfolio.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Java</category>
      <category>Helidon</category>
      <category>Application Security</category>
      <category>JDK 28</category>
      <category>Quantum Computing</category>
      <category>Project Valhalla</category>
      <category>JavaFX</category>
      <category>JDK 27</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/java27-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-09-16T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/java27-released/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI</title>
      <link>https://www.infoq.com/news/2026/09/dropbox-datacenter/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/dropbox-datacenter/en/headerimage/generatedHeaderImage-1789513176018.jpg"/&gt;&lt;p&gt;Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capacity as the only answer. Its work spans forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery, much of it predating the current AI boom.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Infrastructure Optimisation</category>
      <category>Sustainable Computing</category>
      <category>Infrastructure</category>
      <category>AI Architecture</category>
      <category>Data Storage</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 07:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/dropbox-datacenter/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-09-16T07:15:00Z</dc:date>
      <dc:identifier>/news/2026/09/dropbox-datacenter/en</dc:identifier>
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