<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - DevOps</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ DevOps feed</description>
    <item>
      <title>Microsoft Foundry Adds Runtime, Tooling, and Governance for Production Agents</title>
      <link>https://www.infoq.com/news/2026/06/microsoft-foundry-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/microsoft-foundry-agents/en/headerimage/generatedHeaderImage-1780920733025.jpg"/&gt;&lt;p&gt;Microsoft used their Build 2026 event to announce new functionality for Microsoft Foundry. Citing Foundry as "the place where AI agents move from experiments to production systems," in a blog post, Nick Brady writes that the release brings “runtime, tools, memory, grounding, models, observability, and governance” that developers need for production agents, rather than just new model endpoints.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Microsoft Azure</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 09 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/microsoft-foundry-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-06-09T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/microsoft-foundry-agents/en</dc:identifier>
    </item>
    <item>
      <title>AWS Releases Next Generation of Amazon OpenSearch Serverless</title>
      <link>https://www.infoq.com/news/2026/06/aws-opensearch-serverless/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-opensearch-serverless/en/headerimage/generatedHeaderImage-1780931892223.jpg"/&gt;&lt;p&gt;Amazon Web Services has recently announced the general availability of the next generation of Amazon OpenSearch Serverless, with a redesigned architecture that enables 20 times faster resource provisioning than the previous serverless architecture, true scale-to-zero capability, and up to 60% lower cost than a provisioned cluster for peak loads.&lt;/p&gt; &lt;i&gt;By Gianmarco Nalin&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>OpenSearch</category>
      <category>AWS</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 08 Jun 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-opensearch-serverless/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Gianmarco Nalin</dc:creator>
      <dc:date>2026-06-08T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-opensearch-serverless/en</dc:identifier>
    </item>
    <item>
      <title>Celebrating 20 Years of InfoQ</title>
      <link>https://www.infoq.com/news/2026/06/infoq-turns-20/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/infoq-turns-20/en/headerimage/generatedHeaderImage-1780768458683.jpg"/&gt;&lt;p&gt;InfoQ celebrates its 20th anniversary. To mark the occasion, we have published a walk-through of the trends InfoQ called early, where they sit on the adoption curve today, and how that curve may evolve over the next decade.&lt;/p&gt; &lt;i&gt;By InfoQ&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Innovation</category>
      <category>InfoQ</category>
      <category>Java</category>
      <category>Agile</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 08 Jun 2026 11:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/infoq-turns-20/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>InfoQ</dc:creator>
      <dc:date>2026-06-08T11:35:00Z</dc:date>
      <dc:identifier>/news/2026/06/infoq-turns-20/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Mitigating Geopolitical Risks with Local-First Software and atproto</title>
      <link>https://www.infoq.com/presentations/cloud-computing-technological-sovereignty-multi-cloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/presentations/cloud-computing-technological-sovereignty-multi-cloud/en/mediumimage/martin-kleppmann-medium-1780662029074.jpeg"/&gt;&lt;p&gt;Martin Kleppmann discusses the urgent need for technological sovereignty in modern infrastructure. Exploring the shifting landscape of global tech dependencies, he shares how engineering leaders can leverage multi-cloud architecture, de facto API standardization, the AT Protocol, and local-first development paradigms to reclaim user agency and build highly resilient systems.&lt;/p&gt; &lt;i&gt;By Martin Kleppmann&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>API</category>
      <category>Transcripts</category>
      <category>Sovereignty</category>
      <category>QCon London 2026</category>
      <category>Protocol</category>
      <category>CRDT</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 08 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/cloud-computing-technological-sovereignty-multi-cloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Martin Kleppmann</dc:creator>
      <dc:date>2026-06-08T11:00:00Z</dc:date>
      <dc:identifier>/presentations/cloud-computing-technological-sovereignty-multi-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Discovery Reaches GA on Azure, Powering the Agentic AI behind Majorana 2 Quantum Chip</title>
      <link>https://www.infoq.com/news/2026/06/microsoft-discovery-majorana-2/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/microsoft-discovery-majorana-2/en/headerimage/generatedHeaderImage-1780831902723.jpg"/&gt;&lt;p&gt;Microsoft announced the general availability of Microsoft Discovery, its Azure-based platform for deploying autonomous AI agent teams in scientific R&amp;D. The platform powered the development of Majorana 2, a topological quantum chip with 1,000x reliability improvement and 20-second qubit lifetimes. Microsoft now targets a scalable quantum computer by 2029, halving its original timeline.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>AI Architecture</category>
      <category>Microsoft</category>
      <category>Quantum Computing</category>
      <category>Microsoft Azure</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 08 Jun 2026 09:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/microsoft-discovery-majorana-2/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-08T09:08:00Z</dc:date>
      <dc:identifier>/news/2026/06/microsoft-discovery-majorana-2/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Technology Adoption Curve, Twenty Years On</title>
      <link>https://www.infoq.com/articles/adoption-curve-twenty/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/articles/adoption-curve-twenty/en/headerimage/generatedHeaderImage-1780670505517.jpg"/&gt;&lt;p&gt;Today, June 8th, InfoQ celebrates 20 years. This is not a comprehensive history, but a deliberately selective look at the technologies and practices InfoQ identified early, where they sit on the adoption curve in 2026, and how that curve may evolve over the next five to ten years.&lt;/p&gt; &lt;i&gt;By Renato Losio, Dio Synodinos&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Machine Learning</category>
      <category>Generative AI</category>
      <category>Technology Trends</category>
      <category>Java</category>
      <category>Software Engineering</category>
      <category>Kubernetes</category>
      <category>Agile</category>
      <category>Microservices</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 08 Jun 2026 08:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/adoption-curve-twenty/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Renato Losio, Dio Synodinos</dc:creator>
      <dc:date>2026-06-08T08:30:00Z</dc:date>
      <dc:identifier>/articles/adoption-curve-twenty/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Launches Logic Apps Automation at Build 2026</title>
      <link>https://www.infoq.com/news/2026/06/azure-logic-apps-automation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/azure-logic-apps-automation/en/headerimage/generatedHeaderImage-1780670447806.jpg"/&gt;&lt;p&gt;Microsoft announced Logic Apps Automation at Build 2026, a new SKU at auto.azure.com packaging workflows, AI agents, knowledge services, and model access into a managed SaaS experience. Agents integrate via agent-loop orchestration, Foundry agents, and managed sandbox. Knowledge as a Service provides a fully managed RAG pipeline.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Low Code</category>
      <category>AI Architecture</category>
      <category>Automation</category>
      <category>Azure</category>
      <category>LogicApps</category>
      <category>iPaaS</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 08 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/azure-logic-apps-automation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-08T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/azure-logic-apps-automation/en</dc:identifier>
    </item>
    <item>
      <title>Terraform 1.15 Closes Gap to OpenTofu on Dynamic Sources and Deprecation</title>
      <link>https://www.infoq.com/news/2026/06/terraform-1-15/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/terraform-1-15/en/headerimage/generatedHeaderImage-1780871867637.jpg"/&gt;&lt;p&gt;HashiCorp has released Terraform 1.15, introducing dynamic module sources, a formal deprecation mechanism for variables and outputs, a new inline type conversion function, type constraints for output blocks, and native Windows ARM64 support. The release addresses several long-standing requests from the Terraform community.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Terraform</category>
      <category>Infrastructure as Code</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 08 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/terraform-1-15/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-06-08T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/terraform-1-15/en</dc:identifier>
    </item>
    <item>
      <title>How OpenAI Built a Secure Windows Sandbox for Codex Agents</title>
      <link>https://www.infoq.com/news/2026/06/codex-windows-sandbox-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/codex-windows-sandbox-design/en/headerimage/generatedHeaderImage-1780184710031.jpg"/&gt;&lt;p&gt;OpenAI details Codex Windows sandbox architecture, showing how SIDs, ACLs, restricted tokens, and dedicated sandbox accounts enable safe execution of autonomous coding tasks. The design balances isolation with real developer workflows and shows how OS security primitives must be composed for AI agents on local development environments.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Windows</category>
      <category>Access Control</category>
      <category>CLI</category>
      <category>Identity Management</category>
      <category>Security</category>
      <category>IDE</category>
      <category>AI Assisted Coding</category>
      <category>Operating Systems</category>
      <category>Integrated Development Environment</category>
      <category>Design Systems</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 05 Jun 2026 14:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/codex-windows-sandbox-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-05T14:37:00Z</dc:date>
      <dc:identifier>/news/2026/06/codex-windows-sandbox-design/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Introduces Nova, an Internal Platform for Running AI Coding Agents at Scale</title>
      <link>https://www.infoq.com/news/2026/06/dropbox-nova-ai-coding-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/dropbox-nova-ai-coding-agents/en/headerimage/generatedHeaderImage-1779952906697.jpg"/&gt;&lt;p&gt;Dropbox has unveiled Nova, an internal platform designed to orchestrate and operationalize AI coding agents across the company's engineering workflows.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>AI Assisted Coding</category>
      <category>AI Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 05 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/dropbox-nova-ai-coding-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-06-05T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/dropbox-nova-ai-coding-agents/en</dc:identifier>
    </item>
    <item>
      <title>How Netflix Maps Thousands of Microservices in Real-Time</title>
      <link>https://www.infoq.com/news/2026/06/netflix-microservices-realtime/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Netflix has shared details about Service Topology. This internal system creates and updates a live dependency graph for thousands of microservices. It helps engineers see how services connect and resolve issues more quickly. The system merges three separate data sources into a single, queryable graph. It updates almost in real-time as traffic patterns shift.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>eBPF</category>
      <category>Observability</category>
      <category>Microservices</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 05 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/netflix-microservices-realtime/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-06-05T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/netflix-microservices-realtime/en</dc:identifier>
    </item>
    <item>
      <title>Article Series: Securing the AI Stack: from Model to Production</title>
      <link>https://www.infoq.com/articles/secure-ai-stack-model-production-series/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/articles/secure-ai-stack-model-production-series/en/headerimage/Article-Series-Securing-the-AI-Stack-From-Model-to-Production-header-image-1780040531515.jpg"/&gt;&lt;p&gt;This series provides your roadmap for the machine age, exploring how to move from vulnerable prototypes to resilient systems through layered defense, robust MLOps, and integrated governance.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Article Series</category>
      <category>Artificial Intelligence</category>
      <category>AI Security</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>article</category>
      <pubDate>Fri, 05 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/secure-ai-stack-model-production-series/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-06-05T09:00:00Z</dc:date>
      <dc:identifier>/articles/secure-ai-stack-model-production-series/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Architecting a Centralized Platform for Data Deletion at Netflix</title>
      <link>https://www.infoq.com/presentations/architecting-deletion-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/presentations/architecting-deletion-system/en/mediumimage/medium-1779869686290.jpg"/&gt;&lt;p&gt;The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability &amp;  correctness, they explain how to orchestrate multi-system deletion propagation without impacting live traffic. They share lessons on controlling tombstone accumulation, building continuous audit loops, and gaining trust with a centralized platform.&lt;/p&gt; &lt;i&gt;By Vidhya Arvind, Shawn Liu&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Platform Engineering</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Reliability</category>
      <category>Data</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 04 Jun 2026 10:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/architecting-deletion-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Vidhya Arvind, Shawn Liu</dc:creator>
      <dc:date>2026-06-04T10:26:00Z</dc:date>
      <dc:identifier>/presentations/architecting-deletion-system/en</dc:identifier>
    </item>
    <item>
      <title>AWS Replaces Fat-Tree Data Center Networks with Random Graph Theory, Cutting Routers by 69%</title>
      <link>https://www.infoq.com/news/2026/06/aws-random-graph-data-center/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-random-graph-data-center/en/headerimage/generatedHeaderImage-1780475849954.jpg"/&gt;&lt;p&gt;AWS disclosed that Resilient Network Graphs, a flat network architecture based on quasi-random graph theory, is now the default for most new data center builds. The design replaces fat-tree hierarchies with direct ToR-to-ToR mesh connections using passive optical ShuffleBoxes, cutting routers by 69%, boosting throughput by 33%, and reducing network power consumption by 40%.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Infrastructure</category>
      <category>Amazon Web Services</category>
      <category>Deployment / Datacenter</category>
      <category>AWS</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 04 Jun 2026 08:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-random-graph-data-center/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-04T08:25:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-random-graph-data-center/en</dc:identifier>
    </item>
    <item>
      <title>Inside Google’s System for Coordinated A/B Testing across its Global Service Fleet</title>
      <link>https://www.infoq.com/news/2026/06/google-fleet-ab-experimentation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/google-fleet-ab-experimentation/en/headerimage/generatedHeaderImage-1779569949510.jpg"/&gt;&lt;p&gt;Google has shared details of its fleet wide large scale A/B experimentation system designed to standardize experiment assignment, exposure logging, and configuration propagation across distributed services. The approach enables consistent measurement across products, reduces experiment conflicts, and improves reliability of data driven decision making at scale.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Feature Toggle</category>
      <category>Distributed Systems</category>
      <category>Systems Thinking</category>
      <category>Infrastructure</category>
      <category>Data-Driven Decision Making Series</category>
      <category>Logging</category>
      <category>User Experience</category>
      <category>Platforms</category>
      <category>A/B Testing</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 03 Jun 2026 14:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/google-fleet-ab-experimentation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-03T14:54:00Z</dc:date>
      <dc:identifier>/news/2026/06/google-fleet-ab-experimentation/en</dc:identifier>
    </item>
  </channel>
</rss>
