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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>Cloudflare Details Unified Data Platform Where Billing Workloads Account for 53% of Queries</title>
      <link>https://www.infoq.com/news/2026/07/cloudflare-unified-data-platform/?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/2026/07/cloudflare-unified-data-platform/en/headerimage/generatedHeaderImage-1782169354918.jpg"/&gt;&lt;p&gt;Cloudflare details Town Lake, an internal unified data platform, and Skipper, an AI analytics agent unifying access to operational, billing, security, and business data. The platform processed ~91K billing queries, with billing forming majority usage. Built on a lakehouse architecture using Trino, Iceberg, R2, and DataHub, it enables governed cross-system analytics and natural language access.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Platform Engineering</category>
      <category>Big Data</category>
      <category>Data Governance</category>
      <category>Metadata</category>
      <category>Business Intelligence</category>
      <category>Object Databases</category>
      <category>Data Analytics</category>
      <category>Cloudflare</category>
      <category>English Query</category>
      <category>Google BigQuery</category>
      <category>Apache Iceberg</category>
      <category>Natural Language Processing</category>
      <category>Data Lake</category>
      <category>SQL</category>
      <category>Postgres</category>
      <category>ClickHouse</category>
      <category>Agents</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 03 Jul 2026 14:29:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cloudflare-unified-data-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>2026-07-03T14:29:00Z</dc:date>
      <dc:identifier>/news/2026/07/cloudflare-unified-data-platform/en</dc:identifier>
    </item>
    <item>
      <title>Hardwood Promises High-Speed JVM Apache Parquet Processing with Zero Mandatory Dependencies</title>
      <link>https://www.infoq.com/news/2026/07/hardwood-java-parquet/?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;Hardwood, the project Gunnar Morling kick-started handling of Parquet files in Java, reached version 1. Its multi-threaded approach and zero mandatory external dependencies promise a simpler, more efficient alternative to the Apache Parquet Java implementation. For now, the library supports just reading; writing support is expected in the upcoming versions.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Big Data</category>
      <category>Apache Parquet</category>
      <category>Java</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 03 Jul 2026 12:12:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/hardwood-java-parquet/?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>2026-07-03T12:12:00Z</dc:date>
      <dc:identifier>/news/2026/07/hardwood-java-parquet/en</dc:identifier>
    </item>
    <item>
      <title>OpenTelemetry Graduates to CNCF's Highest Maturity Level</title>
      <link>https://www.infoq.com/news/2026/07/opentelemetry-cncf-maturity/?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/2026/07/opentelemetry-cncf-maturity/en/headerimage/generatedHeaderImage-1782553367590.jpg"/&gt;&lt;p&gt;The Cloud Native Computing Foundation (CNCF) has announced the graduation of OpenTelemetry, elevating the project to the foundation's highest level of maturity and formally recognizing it as production-ready for enterprise use.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Monitoring Tools</category>
      <category>OpenTelemetry</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 03 Jul 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/opentelemetry-cncf-maturity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-07-03T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/opentelemetry-cncf-maturity/en</dc:identifier>
    </item>
    <item>
      <title>Mini book: Agentic AI Architecture</title>
      <link>https://www.infoq.com/minibooks/agentic-ai-architecture/?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/minibooks/agentic-ai-architecture/en/smallimage/agentic-ai-architecture-thumb-image-1782836155225.jpg"/&gt;&lt;p&gt;In this eMag, we try to establish agentic AI architecture as a new type of software architecture that will likely dominate the industry for years to come. The articles, written by industry experts, cover various elements and aspects of agentic AI architecture. We aim to present the latest trends and developments shaping the new type of architecture as it enters the mainstream.&lt;/p&gt; &lt;i&gt;By InfoQ&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Frameworks</category>
      <category>Agents</category>
      <category>Microservices</category>
      <category>Architecture &amp; Design</category>
      <category>minibook</category>
      <pubDate>Fri, 03 Jul 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/minibooks/agentic-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>InfoQ</dc:creator>
      <dc:date>2026-07-03T11:00:00Z</dc:date>
      <dc:identifier>/minibooks/agentic-ai-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Oracle Quietly Halves Free Tier Ampere A1 Compute Limits with No Public Announcement</title>
      <link>https://www.infoq.com/news/2026/07/oracle-cloud-free-tier-limits/?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/2026/07/oracle-cloud-free-tier-limits/en/headerimage/generatedHeaderImage-1782900164118.jpg"/&gt;&lt;p&gt;Oracle halved the Always Free Ampere A1 compute allowance from 4 OCPUs and 24 GB RAM to 2 OCPUs and 12 GB RAM with no public announcement. Support agents gave conflicting answers on whether PAYG accounts are affected. Documentation states the new limits apply to "all tenancies" while support emails say only free-tier accounts.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Oracle</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 03 Jul 2026 10:13:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/oracle-cloud-free-tier-limits/?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>2026-07-03T10:13:00Z</dc:date>
      <dc:identifier>/news/2026/07/oracle-cloud-free-tier-limits/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Fine Tuning the Enterprise: Reinforcement Learning in Practice</title>
      <link>https://www.infoq.com/presentations/rft-openai-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/presentations/rft-openai-model/en/mediumimage/WenjieZiWillHang-medium-1782220624463.jpg"/&gt;&lt;p&gt;The speakers discuss Agent RFT, OpenAI’s platform for fine-tuning reasoning models via real-time tool interactions and custom reward signals. They explain how reinforcement learning solves complex credit assignment challenges within the context window. They share enterprise success stories, showing how Agent RFT eliminates long-tail token loops and drives extreme efficiency.&lt;/p&gt; &lt;i&gt;By Wenjie Zi, Will Hang&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Large language models</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 03 Jul 2026 09:22:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rft-openai-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Wenjie Zi, Will Hang</dc:creator>
      <dc:date>2026-07-03T09:22:00Z</dc:date>
      <dc:identifier>/presentations/rft-openai-model/en</dc:identifier>
    </item>
    <item>
      <title>Google Releases A2UI v0.9: Portable, Framework-Agnostic Generative UI</title>
      <link>https://www.infoq.com/news/2026/07/google-a2ui-genui/?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/2026/07/google-a2ui-genui/en/headerimage/generatedHeaderImage-1782891711698.jpg"/&gt;&lt;p&gt;Google has released A2UI v0.9, a framework-agnostic standard for AI agents to declare user interface intent across multiple platforms without arbitrary code. The update emphasizes alignment with existing design systems. It includes a new SDK for Python, improved error handling, and various transport methods. Migration guidance and evolution specifications are also provided.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>User Interface</category>
      <category>AI Architecture</category>
      <category>Google</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 03 Jul 2026 06:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/google-a2ui-genui/?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>2026-07-03T06:38:00Z</dc:date>
      <dc:identifier>/news/2026/07/google-a2ui-genui/en</dc:identifier>
    </item>
    <item>
      <title>SwiftUI Adds New Document Protocol, Improves Performance, and More</title>
      <link>https://www.infoq.com/news/2026/07/swiftui-wwdc26/?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/2026/07/swiftui-wwdc26/en/headerimage/swiftui-wwdc26-1783007395426.jpeg"/&gt;&lt;p&gt;Announced at WWDC 2026, the latest SwiftUI release brings a new Document protocol for efficient disk access and snapshot-based updates, along with improved APIs for reordering items in lists, grids, and sections. In addition, it expands presentation features, such as swipe actions on any view, better AsyncImage caching, and lazy state initialization for Observable types to boost performance.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>MacOS</category>
      <category>visionOS</category>
      <category>GUI</category>
      <category>watchOS</category>
      <category>iOS</category>
      <category>Swift</category>
      <category>Apple</category>
      <category>SwiftUI</category>
      <category>Mobile</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 02 Jul 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/swiftui-wwdc26/?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>2026-07-02T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/swiftui-wwdc26/en</dc:identifier>
    </item>
    <item>
      <title>Shifting Platform Development from Projects to Products</title>
      <link>https://www.infoq.com/news/2026/07/platform-projects-products/?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/2026/07/platform-projects-products/en/headerimage/platform-projects-products-header-1782131812023.jpg"/&gt;&lt;p&gt;A company shifted from project- to product-thinking after their platform outgrew single-team use. The limitations that they felt with their platform were one-off deliveries, lack of product vision, and weak feedback loops. They have moved toward a self-service, API-driven, multi-tenant infrastructure with clearer ownership and better abstractions.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Collaboration</category>
      <category>Platform Engineering</category>
      <category>Infrastructure</category>
      <category>API</category>
      <category>Products</category>
      <category>Project Management</category>
      <category>Platforms</category>
      <category>Feedback</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 02 Jul 2026 11:27:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/platform-projects-products/?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>2026-07-02T11:27:00Z</dc:date>
      <dc:identifier>/news/2026/07/platform-projects-products/en</dc:identifier>
    </item>
    <item>
      <title>Apple Extends Private Cloud Compute to Google Cloud for the First Time</title>
      <link>https://www.infoq.com/news/2026/07/apple-pcc-google-cloud/?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/2026/07/apple-pcc-google-cloud/en/headerimage/generatedHeaderImage-1782391520410.jpg"/&gt;&lt;p&gt;Apple chose Google Cloud to run Private Cloud Compute outside its own data centers for the first time, using NVIDIA Blackwell GPUs, Intel TDX, and Google's Titan chip. Apple maintains an independent append-only hardware ledger and dual-vendor attestation roots. AWS and Azure are not part of the collaboration.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Data Privacy</category>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Google Cloud Platform</category>
      <category>Apple</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 02 Jul 2026 10:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/apple-pcc-google-cloud/?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>2026-07-02T10:04:00Z</dc:date>
      <dc:identifier>/news/2026/07/apple-pcc-google-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Enhancing Reliability Using Service-Level Prioritized Load Shedding at Netflix</title>
      <link>https://www.infoq.com/presentations/service-level-prioritized-load-shedding/?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/service-level-prioritized-load-shedding/en/mediumimage/medium-1782221254342.jpg"/&gt;&lt;p&gt;The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized load shedding embedded in their Envoy sidecar proxy, allowing user-initiated requests to steal capacity from non-critical traffic. They share automated platform strategies for continuous chaos load testing, config generation, and retry storm mitigation.&lt;/p&gt; &lt;i&gt;By Anirudh Mendiratta, Benjamin Fedorka&lt;/i&gt;</description>
      <category>Platform Engineering</category>
      <category>QCon San Francisco 2025</category>
      <category>Resilience</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 02 Jul 2026 09:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/service-level-prioritized-load-shedding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Anirudh Mendiratta, Benjamin Fedorka</dc:creator>
      <dc:date>2026-07-02T09:20:00Z</dc:date>
      <dc:identifier>/presentations/service-level-prioritized-load-shedding/en</dc:identifier>
    </item>
    <item>
      <title>Instacart Scales Personalized Marketing via Configuration-Driven Multi-Tenant Platform</title>
      <link>https://www.infoq.com/news/2026/07/instacart-multi-tenant-marketing/?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;Instacart redesigned its personalized marketing system using a configuration-driven multi-tenant architecture on Storefront Pro. The system replaces retailer-specific implementations with a shared execution engine, enabling scalable personalization, faster configuration propagation in under a minute, and 99.9% delivery success across hundreds of retail banners through a unified campaign platform.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>SMS</category>
      <category>Distributed Systems</category>
      <category>Marketing</category>
      <category>Multi-Tenant Data</category>
      <category>Observability</category>
      <category>Configuration Management Tools</category>
      <category>Event Driven Architecture</category>
      <category>Multi-tenancy</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 01 Jul 2026 14:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/instacart-multi-tenant-marketing/?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>2026-07-01T14:05:00Z</dc:date>
      <dc:identifier>/news/2026/07/instacart-multi-tenant-marketing/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs</title>
      <link>https://www.infoq.com/presentations/graph-rag-llm/?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/graph-rag-llm/en/mediumimage/CassieShum-medium-1782291352027.jpeg"/&gt;&lt;p&gt;Cassie Shum discusses the architectural evolution of GraphRAG and why data foundations are critical for advanced AI workflows. She explains how traditional vector RAG falls short when addressing global context, multi-hop reasoning, and provenance. She shares enterprise strategies for building semantically structured knowledge graphs that shift raw orchestrating logic down to the data layer.&lt;/p&gt; &lt;i&gt;By Cassie Shum&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Large language models</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 01 Jul 2026 14:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/graph-rag-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Cassie Shum</dc:creator>
      <dc:date>2026-07-01T14:01:00Z</dc:date>
      <dc:identifier>/presentations/graph-rag-llm/en</dc:identifier>
    </item>
    <item>
      <title>HeroUI v3 Lands as a Ground-Up Rewrite for React and React Native, Built on Tailwind CSS v4</title>
      <link>https://www.infoq.com/news/2026/07/heroui-v3-rewrite/?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/2026/07/heroui-v3-rewrite/en/headerimage/generatedHeaderImage-1782890990794.jpg"/&gt;&lt;p&gt;HeroUI v3 is a redesigned React component library, previously NextUI, offering over 75 components, including 21 new ones, and a new React Native library with 37 components. Built on React Aria and Tailwind CSS v4, it emphasizes accessibility and customization. The library has experienced many updates since its release, and migration from the previous version is necessary.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>React Native</category>
      <category>CSS</category>
      <category>Web Development</category>
      <category>React</category>
      <category>Web Components</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 01 Jul 2026 12:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/heroui-v3-rewrite/?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>2026-07-01T12:16:00Z</dc:date>
      <dc:identifier>/news/2026/07/heroui-v3-rewrite/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Infrastructure Challenge Behind Production AI</title>
      <link>https://www.infoq.com/presentations/ai-infrastructure-scaling-architecture/?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/ai-infrastructure-scaling-architecture/en/mediumimage/infoq-live-medium-1782888285223.jpg"/&gt;&lt;p&gt;The panelists explain the realities of running AI systems reliably at scale. While building models is solved, maintaining production databases under constant pressure is not. They discuss the emerging architectural decisions separating teams that scale gracefully from those facing catastrophic outages, and what engineering leaders must rethink today.&lt;/p&gt; &lt;i&gt;By Simerus Mahesh, Alex Infanzon, Meryem Arik, Luca Bianchi, Renato Losio&lt;/i&gt;</description>
      <category>Virtual Events</category>
      <category>InfoQ Live</category>
      <category>Infrastructure</category>
      <category>Virtual Panel</category>
      <category>Transcripts</category>
      <category>MLOps</category>
      <category>InfoQ Live - June 2026</category>
      <category>Scalability</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 01 Jul 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-infrastructure-scaling-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Simerus Mahesh, Alex Infanzon, Meryem Arik, Luca Bianchi, Renato Losio</dc:creator>
      <dc:date>2026-07-01T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-infrastructure-scaling-architecture/en</dc:identifier>
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