<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Building a European Cloud Orchestration Platform within an Enterprise</title>
      <link>https://www.infoq.com/news/2026/06/europe-cloud-enterprise/?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/2026/06/europe-cloud-enterprise/en/headerimage/europe-cloud-enterprise-header-1782131709734.jpg"/&gt;&lt;p&gt;Modern cloud deployments involve many tools with different lifecycles, creating a heavy burden on engineers. The Kubernetes ecosystem offers a unified Control Plane approach. Sharing best practices through tech talks and inner-source collaboration can create an engaged community and drive adoption.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>AWS</category>
      <category>Azure</category>
      <category>Cloud Adoption</category>
      <category>Cloud</category>
      <category>Sovereignty</category>
      <category>Collaboration</category>
      <category>Funding</category>
      <category>Cloud Native Architecture</category>
      <category>Failure</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 11:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/europe-cloud-enterprise/?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>2026-06-25T11:06:00Z</dc:date>
      <dc:identifier>/news/2026/06/europe-cloud-enterprise/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Rust at the Core - Accelerating Polyglot SDK Development</title>
      <link>https://www.infoq.com/presentations/rust-polyglot-sdk/?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/rust-polyglot-sdk/en/mediumimage/spencer-judge-medium-1781688097548.jpeg"/&gt;&lt;p&gt;Spencer Judge discusses the architectural pattern of building a shared core in Rust with language-specific layers on top. Drawing from his work on Temporal's SDKs, he shares lessons on navigating FFI boundaries, bridging async concepts, and managing memory safely. He explains the limitations of native extensions and how emerging tech like WebAssembly can streamline cross-language architecture.&lt;/p&gt; &lt;i&gt;By Spencer Judge&lt;/i&gt;</description>
      <category>SDK</category>
      <category>Transcripts</category>
      <category>Rust</category>
      <category>QCon San Francisco 2025</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 25 Jun 2026 10:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rust-polyglot-sdk/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Spencer Judge</dc:creator>
      <dc:date>2026-06-25T10:23:00Z</dc:date>
      <dc:identifier>/presentations/rust-polyglot-sdk/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Ships Agent Skills for Zero Trust Deployment and Migration</title>
      <link>https://www.infoq.com/news/2026/06/cloudflare-one-stack-agents/?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/2026/06/cloudflare-one-stack-agents/en/headerimage/generatedHeaderImage-1782201861296.jpg"/&gt;&lt;p&gt;Cloudflare released the Cloudflare One stack, an open-source library of agent skills for planning, deploying, and managing Zero Trust environments. The skills include automated migration logic for Zscaler and Palo Alto Networks, the same logic used in Cloudflare's Descaler program that has moved enterprise customers in hours rather than months.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Access Control</category>
      <category>Information Security</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 09:27:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/cloudflare-one-stack-agents/?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>2026-06-25T09:27:00Z</dc:date>
      <dc:identifier>/news/2026/06/cloudflare-one-stack-agents/en</dc:identifier>
    </item>
    <item>
      <title>Slack Outlines Four-Phase Journey to a Multi-Cloud AI Serving Platform</title>
      <link>https://www.infoq.com/news/2026/06/slack-multicloud/?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/2026/06/slack-multicloud/en/headerimage/generatedHeaderImage-1782335922071.jpg"/&gt;&lt;p&gt;Slack has outlined how its AI serving infrastructure evolved through four distinct phases, moving from a self-managed Amazon SageMaker deployment to a multi-cloud architecture spanning AWS Bedrock and Google Cloud Vertex AI.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Distributed Systems</category>
      <category>Cloud Architecture</category>
      <category>Large language models</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 07:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/slack-multicloud/?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>2026-06-25T07:02:00Z</dc:date>
      <dc:identifier>/news/2026/06/slack-multicloud/en</dc:identifier>
    </item>
    <item>
      <title>Grab Builds Secure Agentic AI Workload Platform</title>
      <link>https://www.infoq.com/news/2026/06/grab-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;Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software, model-driven agents exhibit unpredictable tool-use, code-writing, and prompt injection risks. Palana contains these threats at the infrastructure level using isolated namespaces, out-of-process control planes, and proxy-mediated, Vault-backed secrets.&lt;/p&gt; &lt;i&gt;By Patrick Farry&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Security</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 02:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/grab-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Patrick Farry</dc:creator>
      <dc:date>2026-06-25T02:08:00Z</dc:date>
      <dc:identifier>/news/2026/06/grab-ai-platform/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Lead: HTML Increasingly Better Than Markdown at Keeping Humans Engaged in Agentic Loops</title>
      <link>https://www.infoq.com/news/2026/06/anthropic-html-markdown-agent/?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/2026/06/anthropic-html-markdown-agent/en/headerimage/generatedHeaderImage-1782335059166.jpg"/&gt;&lt;p&gt;Thariq Shihipar, engineering lead for the Claude Code team, recently published a blog post (Using Claude Code: The Unreasonable Effectiveness of HTML) arguing that HTML, with its richer visualizations, color, and interactivity, improves the productivity of human-agent communication in many settings, especially when compared to default Markdown outputs.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>HTML</category>
      <category>AI Coding</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 23:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/anthropic-html-markdown-agent/?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>2026-06-24T23:06:00Z</dc:date>
      <dc:identifier>/news/2026/06/anthropic-html-markdown-agent/en</dc:identifier>
    </item>
    <item>
      <title>Google OpenRL is an Experimental Self-hosted API for LLM Post-Training Fine-tuning</title>
      <link>https://www.infoq.com/news/2026/06/google-open-rl-fine-tuning/?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/2026/06/google-open-rl-fine-tuning/en/headerimage/google-open-rl-fine-tuning-1782322457170.jpeg"/&gt;&lt;p&gt;Google's GKE Labs has introduced OpenRL, an open-source project that provides a self-hosted API for post-training and fine-tuning Large Language Models (LLMs) on standard Kubernetes clusters.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Google</category>
      <category>Open Source</category>
      <category>Model Fine Tuning</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/google-open-rl-fine-tuning/?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>2026-06-24T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/google-open-rl-fine-tuning/en</dc:identifier>
    </item>
    <item>
      <title>AI Is Moving up the Software Lifecycle: From Code Review to PRD Governance</title>
      <link>https://www.infoq.com/news/2026/06/ai-prd-code-review-governance/?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;Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs, and code review. Initiatives from Uber, DoorDash, and Cloudflare highlight a shift toward AI-driven governance layers that evaluate engineering artifacts before implementation while preserving human oversight across the development pipeline.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Documentation</category>
      <category>Requirements</category>
      <category>Software Development Lifecycle</category>
      <category>AI Coding</category>
      <category>AI Assisted Coding</category>
      <category>Agents</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>Governance</category>
      <category>Code Reviews</category>
      <category>Software Engineering</category>
      <category>Workflow / BPM</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 14:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/ai-prd-code-review-governance/?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>2026-06-24T14:57:00Z</dc:date>
      <dc:identifier>/news/2026/06/ai-prd-code-review-governance/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Rules for Understanding Language Models</title>
      <link>https://www.infoq.com/presentations/5-principles-llm-behavior/?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/5-principles-llm-behavior/en/mediumimage/naomi-saphra-medium-1781688751052.jpg"/&gt;&lt;p&gt;Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains how tokenization creates strange semantic blind spots and highlights the mechanics of sycophancy, showing how models leverage subtle data associations to match user biases and demographics - even guessing political views based on favorite sports teams.&lt;/p&gt; &lt;i&gt;By Naomi Saphra&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 24 Jun 2026 11:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/5-principles-llm-behavior/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Naomi Saphra</dc:creator>
      <dc:date>2026-06-24T11:25:00Z</dc:date>
      <dc:identifier>/presentations/5-principles-llm-behavior/en</dc:identifier>
    </item>
    <item>
      <title>Article: Beyond CLEAN and MVP: Architecting an Offline-first Reactive Data Layer in Android</title>
      <link>https://www.infoq.com/articles/rdla-offline-first-reactive-android-data-layer/?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/rdla-offline-first-reactive-android-data-layer/en/headerimage/rdla-offline-first-reactive-android-data-layer-header-1781776366032.jpg"/&gt;&lt;p&gt;With the Reactive Data Layer Architecture (RDLA), you establish a clear boundary between public data APIs and private, framework-specific data-source implementations. Your presentation layer operates in a purely reactive manner, observing data changes rather than procedurally querying them. RDLA also simplifies testing by encouraging you to program to interfaces and use clean seeding patterns.&lt;/p&gt; &lt;i&gt;By Mervyn Anthony&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Asynchronous Architecture</category>
      <category>MVP</category>
      <category>Reactive Programming</category>
      <category>Clean Architecture</category>
      <category>Android</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 24 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/rdla-offline-first-reactive-android-data-layer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mervyn Anthony</dc:creator>
      <dc:date>2026-06-24T09:00:00Z</dc:date>
      <dc:identifier>/articles/rdla-offline-first-reactive-android-data-layer/en</dc:identifier>
    </item>
    <item>
      <title>Lucide Releases Version 1.0, Removing Brand Icons and Cutting Bundle Size for Millions of Projects</title>
      <link>https://www.infoq.com/news/2026/06/lucide-v1-icons/?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/2026/06/lucide-v1-icons/en/headerimage/generatedHeaderImage-1782203932198.jpg"/&gt;&lt;p&gt;Lucide has released version 1.0 of its open-source icon toolkit, marking its first stable major release. The update features over 1,600 icons and removes trademarked brand icons due to legal and design concerns. Significant performance improvements have also been made, reducing package size and adding context providers for various frameworks. Users upgrading should be aware of breaking changes.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 13:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/lucide-v1-icons/?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>2026-06-23T13:28:00Z</dc:date>
      <dc:identifier>/news/2026/06/lucide-v1-icons/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Time It Wasn't DNS</title>
      <link>https://www.infoq.com/presentations/incident-dns/?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/incident-dns/en/mediumimage/sean-klein-medium-1781687984845.jpeg"/&gt;&lt;p&gt;Sean Klein discusses why "human error" is a dangerous myth in complex systems. Sharing the inside story of Azure’s 2023 global WAN outage, he explains how modern incident analysis looks past the "Five Whys" to uncover systemic issues. Learn how engineering leaders can move away from blame, improve Standard Operating Procedures, and design resilient systems that actively protect their engineers.&lt;/p&gt; &lt;i&gt;By Sean Klein&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Incident Response</category>
      <category>QCon San Francisco 2025</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 23 Jun 2026 13:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/incident-dns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sean Klein</dc:creator>
      <dc:date>2026-06-23T13:05:00Z</dc:date>
      <dc:identifier>/presentations/incident-dns/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Expands Azure Kubernetes Service with Bare Metal, Fleet Management and AI Infrastructure</title>
      <link>https://www.infoq.com/news/2026/06/microsoft-build-aks-ai/?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/2026/06/microsoft-build-aks-ai/en/headerimage/generatedHeaderImage-1782126504672.jpg"/&gt;&lt;p&gt;At this year's Microsoft Build 2026, Microsoft unveiled a broad set of enhancements to Azure Kubernetes Service (AKS) aimed at making Kubernetes a first-class platform for AI training, inference, and large-scale cloud-native applications.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Kubernetes</category>
      <category>Microsoft</category>
      <category>Microsoft Azure</category>
      <category>Azure</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/microsoft-build-aks-ai/?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>2026-06-23T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/microsoft-build-aks-ai/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Blocks, an Open-Source TypeScript Framework Designed for AI Agents to Build Backends</title>
      <link>https://www.infoq.com/news/2026/06/aws-blocks-framework-preview/?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/2026/06/aws-blocks-framework-preview/en/headerimage/generatedHeaderImage-1782118076693.jpg"/&gt;&lt;p&gt;AWS released Blocks in public preview, an open-source TypeScript framework where each Block bundles application code, local mocks, and AWS infrastructure. Designed for AI agents to write correct backends from the start, it runs locally without an AWS account and deploys the same code to Lambda, DynamoDB, Aurora, and Bedrock with zero changes.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Infrastructure as Code</category>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>Open Source Project Releases</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 09:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-blocks-framework-preview/?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>2026-06-23T09:15:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-blocks-framework-preview/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service</title>
      <link>https://www.infoq.com/presentations/mobile-user-tracking-service/?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/mobile-user-tracking-service/en/mediumimage/alina-krasavina-medium-1781688348523.jpg"/&gt;&lt;p&gt;Alina Krasavina explains how Delivery Hero successfully deprecated Google Analytics and migrated to an internal user tracking platform. She discusses how a simplistic, highly scalable architecture allowed them to handle 10 times more load while capturing 97% of tracking data.&lt;/p&gt; &lt;i&gt;By Alina Krasavina&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Data Analytics</category>
      <category>Transcripts</category>
      <category>Cross Platform</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 22 Jun 2026 15:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mobile-user-tracking-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alina Krasavina</dc:creator>
      <dc:date>2026-06-22T15:07:00Z</dc:date>
      <dc:identifier>/presentations/mobile-user-tracking-service/en</dc:identifier>
    </item>
  </channel>
</rss>
