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    <title>InfoQ</title>
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    <item>
      <title>Eliya 25 Brings a JVM-Level Diagnostic Profile to OpenJDK 25 LTS</title>
      <link>https://www.infoq.com/news/2026/06/eliya-jvm-diagnostic-profile/?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/eliya-jvm-diagnostic-profile/en/headerimage/java-istock-image-01-1762720446658-1782700328980.jpg"/&gt;&lt;p&gt;Asymm Systems has released Eliya 25.0.3, an OpenJDK 25 LTS distribution aimed at improving production diagnostics in Java environments. It consolidates several HotSpot features into an opt-in Production profile. Eliya is designed for teams needing reliable diagnostic data, especially in regulated settings. Future enhancements are planned for Phase 2.&lt;/p&gt; &lt;i&gt;By A N M Bazlur Rahman&lt;/i&gt;</description>
      <category>Monitoring</category>
      <category>Observability</category>
      <category>Open JDK</category>
      <category>JDK</category>
      <category>JDK 25</category>
      <category>Java</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 14:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/eliya-jvm-diagnostic-profile/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>A N M Bazlur Rahman</dc:creator>
      <dc:date>2026-06-29T14:50:00Z</dc:date>
      <dc:identifier>/news/2026/06/eliya-jvm-diagnostic-profile/en</dc:identifier>
    </item>
    <item>
      <title>Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines</title>
      <link>https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?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/target-ai-campaign-forecasting/en/headerimage/generatedHeaderImage-1780529558601.jpg"/&gt;&lt;p&gt;Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddings, vector search, and LLM ranking, it replaces rule-based workflows. Evaluation shows 75% top-1 and 100% top-3 coverage. The system reduces manual effort, improves consistency, and uses feedback loops to refine retrieval using campaign outcomes.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Systems Thinking</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Large Concept Models</category>
      <category>vector databases</category>
      <category>Data Analytics</category>
      <category>Observability</category>
      <category>Evolutionary Architecture</category>
      <category>MLOps</category>
      <category>Machine Learning</category>
      <category>Marketing</category>
      <category>Generative AI</category>
      <category>Model Fine Tuning</category>
      <category>Business Analytics</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 14:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?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>2026-06-29T14:26:00Z</dc:date>
      <dc:identifier>/news/2026/06/target-ai-campaign-forecasting/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Million PDFs: Building a Modern Document Infrastructure with Rust and Typst</title>
      <link>https://www.infoq.com/presentations/document-infrastructure-rust-typst/?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/document-infrastructure-rust-typst/en/mediumimage/ErikSteiger-medium-1782220478687.jpg"/&gt;&lt;p&gt;Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how transitioning from resource-heavy engines like Puppeteer and LaTeX to a serverless Rust architecture powered by Typst can drop render latencies below 2ms. He shares how applying Git and Docker concepts to template registries ensures ironclad compliance and rapid debugging.&lt;/p&gt; &lt;i&gt;By Erik Steiger&lt;/i&gt;</description>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Rust</category>
      <category>Performance &amp; Scalability</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 29 Jun 2026 12:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/document-infrastructure-rust-typst/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Erik Steiger</dc:creator>
      <dc:date>2026-06-29T12:35:00Z</dc:date>
      <dc:identifier>/presentations/document-infrastructure-rust-typst/en</dc:identifier>
    </item>
    <item>
      <title>Article: Virtual panel: Security in the Machine Age: Expert Insights on AI Threat Evolution</title>
      <link>https://www.infoq.com/articles/security-ai-threat-evolution/?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/security-ai-threat-evolution/en/headerimage/security-ai-threat-evolution-header-1782202845102.jpg"/&gt;&lt;p&gt;This virtual panel brings together AI security experts to examine the evolution of AI-driven threats, from prompt injection and data poisoning to agent abuse and AI-powered social engineering. The discussion explores emerging attack patterns, incident response challenges, and the changes security teams must make as AI systems become more autonomous and integrated into critical workflows.&lt;/p&gt; &lt;i&gt;By Claudio Masolo, Elham Arshad, Sabri Allani, Vijay Dilwale, Igor Maljkovic&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Governance</category>
      <category>Virtual Panel</category>
      <category>Adversarial Machine Learning</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 29 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/security-ai-threat-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo, Elham Arshad, Sabri Allani, Vijay Dilwale, Igor Maljkovic</dc:creator>
      <dc:date>2026-06-29T11:00:00Z</dc:date>
      <dc:identifier>/articles/security-ai-threat-evolution/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Architectural Patterns: Moving Beyond Cloud-Native to Local-First - Insights from Adam Wiggins</title>
      <link>https://www.infoq.com/podcasts/natural-evolution-cloud-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/podcasts/natural-evolution-cloud-native/en/smallimage/the-infoq-podcast-logo-thumbnail-1782207787976.jpg"/&gt;&lt;p&gt;In this episode, Heroku co-founder and Ink &amp; Switch founder Adam Wiggins argues for a 'local-first' architecture that reconciles cloud-based collaboration with the performance and data ownership of local software. He explores the role of CRDTs and version control primitives in non-code domains, and examines how a hybrid AI future might leverage local models for core productivity tasks.&lt;/p&gt; &lt;i&gt;By Adam Wiggins&lt;/i&gt;</description>
      <category>Architecture</category>
      <category>The InfoQ Podcast</category>
      <category>Cloud</category>
      <category>Cloud-Native</category>
      <category>CRDT</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 29 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/natural-evolution-cloud-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Adam Wiggins</dc:creator>
      <dc:date>2026-06-29T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/natural-evolution-cloud-native/en</dc:identifier>
    </item>
    <item>
      <title>AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds</title>
      <link>https://www.infoq.com/news/2026/06/ai-coding-outpaces-governance/?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/ai-coding-outpaces-governance/en/headerimage/ai-coding-outpaces-governance-1782718807762.jpeg"/&gt;&lt;p&gt;GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Software Development</category>
      <category>Governance</category>
      <category>Large language models</category>
      <category>Code Generation</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/ai-coding-outpaces-governance/?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>2026-06-29T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/ai-coding-outpaces-governance/en</dc:identifier>
    </item>
    <item>
      <title>Swift 6.4 Brings New Language Features and Swift Testing/XCTest Interop</title>
      <link>https://www.infoq.com/news/2026/06/swift-6-4-beta-features/?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/swift-6-4-beta-features/en/headerimage/android-studio-otter-llm-1782634112952.jpeg"/&gt;&lt;p&gt;Currently available as a beta in Xcode 27, Swift 6.4 introduces a range of enhancements: better C interoperability, simplified OS availability check, fine-grained warning control, async support in defer, efficient iteration for non-noncopyable types, up to 4x faster URL parsing, and improved interoperability between Swift Testing and XCTest.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>MacOS</category>
      <category>iOS</category>
      <category>Swift</category>
      <category>Programming Languages</category>
      <category>Apple</category>
      <category>Mobile</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 28 Jun 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/swift-6-4-beta-features/?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>2026-06-28T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/swift-6-4-beta-features/en</dc:identifier>
    </item>
    <item>
      <title>AWS Previews FinOps Agent for Cost Analysis and Optimization</title>
      <link>https://www.infoq.com/news/2026/06/aws-finops-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/aws-finops-agent/en/headerimage/generatedHeaderImage-1781884717104.jpg"/&gt;&lt;p&gt;Amazon has released AWS FinOps Agent in public preview, a managed service that automates several common FinOps workflows. The agent can investigate cost anomalies, correlate spend changes with AWS activity data, and integrate with tools such as Slack and Jira to route findings to resource owners.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>Cloud</category>
      <category>Generative AI</category>
      <category>FinOps</category>
      <category>AWS</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 28 Jun 2026 05:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-finops-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-28T05:55:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-finops-agent/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Workload Credentials Provider for Automated Certificate and Secret Management</title>
      <link>https://www.infoq.com/news/2026/06/aws-credentials-provider/?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-credentials-provider/en/headerimage/generatedHeaderImage-1781712757418.jpg"/&gt;&lt;p&gt;AWS has recently announced the AWS Workload Credentials Provider to automatically deliver and refresh certificates and secrets for applications. The open source tool reduces the need for custom automation, helps prevent outages caused by expired certificates, and works in both AWS and non-AWS environments.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Cloud</category>
      <category>Automation</category>
      <category>Hashicorp</category>
      <category>SSL</category>
      <category>AWS</category>
      <category>Cloud Security</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 27 Jun 2026 11:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-credentials-provider/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-27T11:04:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-credentials-provider/en</dc:identifier>
    </item>
    <item>
      <title>Vercel Introduces Eve, an Open-Source Framework for Building AI Agents</title>
      <link>https://www.infoq.com/news/2026/06/vercel-eve-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/vercel-eve-agents/en/headerimage/generatedHeaderImage-1782478004947.jpg"/&gt;&lt;p&gt;Vercel has released Eve, an open-source framework for building, deploying, and operating AI agents in production. The framework uses a filesystem-based project structure to organize agent instructions, tools, skills, subagents, communication channels, and scheduled tasks, enabling developers to define agent behavior while reducing the amount of supporting infrastructure they need to implement.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Cloud Computing</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Open Source</category>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 26 Jun 2026 16:39:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/vercel-eve-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-06-26T16:39:00Z</dc:date>
      <dc:identifier>/news/2026/06/vercel-eve-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: AI Works, Pull Requests Don’t: How AI is Breaking the SDLC and What to Do about it</title>
      <link>https://www.infoq.com/presentations/ai-sdlc-pull-request/?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-sdlc-pull-request/en/mediumimage/michael-webster-medium-1781688909041.jpeg"/&gt;&lt;p&gt;Michael Webster discusses the rise of headless AI agents and their impact on software delivery pipelines. He shares how massive, AI-generated pull requests create a severe bottleneck for human reviewers and introduce persistent technical debt. Learn how engineering leaders can leverage test impact analysis and automated validation pipelines to verify agentic output without sacrificing stability.&lt;/p&gt; &lt;i&gt;By Michael Webster&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Software Development Lifecycle</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 26 Jun 2026 14:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-sdlc-pull-request/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Webster</dc:creator>
      <dc:date>2026-06-26T14:17:00Z</dc:date>
      <dc:identifier>/presentations/ai-sdlc-pull-request/en</dc:identifier>
    </item>
    <item>
      <title>Dapr 1.18 Introduces Verifiable Execution, Bringing Cryptographic Trust to AI Agents and Workflows</title>
      <link>https://www.infoq.com/news/2026/06/dapr-1-18-cryptographic-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/dapr-1-18-cryptographic-ai/en/headerimage/generatedHeaderImage-1782128447195.jpg"/&gt;&lt;p&gt;Diagrid has announced the release of Dapr 1.18, introducing what it calls Verifiable Execution, a new set of capabilities designed to bring cryptographic trust, provenance, and tamper-evident execution records to distributed applications and AI agents.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Cryptography</category>
      <category>Trust</category>
      <category>dapr</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 26 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/dapr-1-18-cryptographic-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>2026-06-26T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/dapr-1-18-cryptographic-ai/en</dc:identifier>
    </item>
    <item>
      <title>Argo CD 3.5 Tightens Supply Chain Security with Internal mTLS and Source Integrity</title>
      <link>https://www.infoq.com/news/2026/06/argocd-supply-chain-security/?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/argocd-supply-chain-security/en/headerimage/generatedHeaderImage-1782400527464.jpg"/&gt;&lt;p&gt;The Argo CD project released a v3.5 release candidate in June 2026. This version adds mutual TLS enforcement for internal components. It also includes Git commit signature verification for supply chain security and native ApplicationSet management in the UI. The release also graduates two significant features: impersonation and Source Hydrator, from alpha to beta.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>GitOps</category>
      <category>Argo CD</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 26 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/argocd-supply-chain-security/?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>2026-06-26T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/argocd-supply-chain-security/en</dc:identifier>
    </item>
    <item>
      <title>How Cloudflare Solved a Congestion Bug in quiche</title>
      <link>https://www.infoq.com/news/2026/06/cloudflare-bug-quiche/?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-bug-quiche/en/headerimage/generatedHeaderImage-1782410835538.jpg"/&gt;&lt;p&gt;Cloudflare has recently shared how they uncovered an issue in their Rust implementation of CUBIC, a congestion controller algorithm, which prevented it from recovering from a scenario of heavy packet loss at the start of a connection.&lt;/p&gt; &lt;i&gt;By Gianmarco Nalin&lt;/i&gt;</description>
      <category>Bugs and Hotfixes</category>
      <category>Cloud</category>
      <category>QUIC Protocol</category>
      <category>UDP</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/cloudflare-bug-quiche/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Gianmarco Nalin</dc:creator>
      <dc:date>2026-06-25T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/cloudflare-bug-quiche/en</dc:identifier>
    </item>
    <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>Collaboration</category>
      <category>Failure</category>
      <category>Azure</category>
      <category>Cloud Native Architecture</category>
      <category>Cloud</category>
      <category>Cloud Adoption</category>
      <category>AWS</category>
      <category>Sovereignty</category>
      <category>Funding</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>
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