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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>New Rowhammer Attacks on NVIDIA GPUs Enable Full System Takeover</title>
      <link>https://www.infoq.com/news/2026/04/rowhammer-attacks-nvidia/?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/2026/04/rowhammer-attacks-nvidia/en/headerimage/generatedHeaderImage-1775830147456.jpg"/&gt;&lt;p&gt;Security researchers have demonstrated a new class of Rowhammer attacks targeting NVIDIA GPUs that can escalate from memory corruption to full system compromise, marking a significant shift in hardware-level security risks.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Application Security</category>
      <category>Security Vulnerabilities</category>
      <category>Cloud Security</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 14 Apr 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/rowhammer-attacks-nvidia/?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>2026-04-14T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/rowhammer-attacks-nvidia/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Paper Examines Behavioral Impact of Emotion-Like Mechanisms in LLMs</title>
      <link>https://www.infoq.com/news/2026/04/anthropic-paper-llms/?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/2026/04/anthropic-paper-llms/en/headerimage/generatedHeaderImage-1776164869421.jpg"/&gt;&lt;p&gt;A recent paper from Anthropic examines how large language models internally represent concepts related to emotions and how these representations influence behavior. The work is part of the company’s interpretability research and focuses on analyzing internal activations in Claude Sonnet 4.5 to understand the mechanisms behind model responses better.&lt;/p&gt; &lt;i&gt;By Robert Krzaczyński&lt;/i&gt;</description>
      <category>Claude</category>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 14 Apr 2026 11:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/anthropic-paper-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Robert Krzaczyński</dc:creator>
      <dc:date>2026-04-14T11:35:00Z</dc:date>
      <dc:identifier>/news/2026/04/anthropic-paper-llms/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Platform Engineering: Lessons from the Rise and Fall of eBay Velocity</title>
      <link>https://www.infoq.com/presentations/platform-engineering-lessons/?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/platform-engineering-lessons/en/mediumimage/randy-shoup-medium-1775637120944.jpg"/&gt;&lt;p&gt;Randy Shoup discusses the "Velocity Initiative," a transformation that doubled engineering productivity and modernized eBay’s DORA metrics. He shares the technical playbook used to scale 4,500 services while explaining why even elite engineering execution can’t save a company hampered by waterfall planning, risk aversion, and a "pathological" culture of fear.&lt;/p&gt; &lt;i&gt;By Randy Shoup&lt;/i&gt;</description>
      <category>Best Practices</category>
      <category>Platform Engineering</category>
      <category>Transcripts</category>
      <category>Case Study</category>
      <category>QCon San Francisco 2025</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Tue, 14 Apr 2026 11:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/platform-engineering-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Randy Shoup</dc:creator>
      <dc:date>2026-04-14T11:17:00Z</dc:date>
      <dc:identifier>/presentations/platform-engineering-lessons/en</dc:identifier>
    </item>
    <item>
      <title>Article: Beyond One-Click: Designing an Enterprise-Grade Observability Extension for Docker</title>
      <link>https://www.infoq.com/articles/enterprise-grade-observability-extension-docker/?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/enterprise-grade-observability-extension-docker/en/headerimage/enterprise-grade-observability-extension-docker-header-1775560652994.jpg"/&gt;&lt;p&gt;Docker Extensions boost developer speed but create a "visibility gap" by isolating telemetry. To meet enterprise needs, extensions must act as bridges to centralized platforms. This article details how to use OpenTelemetry, policy-as-code, and encryption to build secure pipelines. Learn to balance developer productivity with the governance required for scalable, compliant observability.&lt;/p&gt; &lt;i&gt;By Pragya Keshap&lt;/i&gt;</description>
      <category>Observability</category>
      <category>Docker</category>
      <category>DevOps</category>
      <category>article</category>
      <pubDate>Tue, 14 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/enterprise-grade-observability-extension-docker/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pragya Keshap</dc:creator>
      <dc:date>2026-04-14T09:00:00Z</dc:date>
      <dc:identifier>/articles/enterprise-grade-observability-extension-docker/en</dc:identifier>
    </item>
    <item>
      <title>Airbnb Migrates High-Volume Metrics Pipeline to OpenTelemetry</title>
      <link>https://www.infoq.com/news/2026/04/airbnd-opentelemetry-vmagent/?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/2026/04/airbnd-opentelemetry-vmagent/en/headerimage/generatedHeaderImage-1776092205754.jpg"/&gt;&lt;p&gt;Airbnb's observability engineering team has published details of a large-scale migration away from StatsD and a proprietary Veneur-based aggregation pipeline toward a modern, open-source metrics stack built on OpenTelemetry Protocol (OTLP), the OpenTelemetry Collector, and VictoriaMetrics' vmagent. The resulting system now ingests over 100 million samples per second in production.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Observability</category>
      <category>OpenTelemetry</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 14 Apr 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/airbnd-opentelemetry-vmagent/?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>2026-04-14T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/airbnd-opentelemetry-vmagent/en</dc:identifier>
    </item>
    <item>
      <title>Google Released Gemma 4 with a Focus On Local-First, On-Device AI Inference</title>
      <link>https://www.infoq.com/news/2026/04/gemma-4-android-ai-inference/?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/2026/04/gemma-4-android-ai-inference/en/headerimage/gemma-4-android-inference-1776112478269.jpeg"/&gt;&lt;p&gt;With the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire software lifecycle, from coding to production.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Agents</category>
      <category>Android Studio</category>
      <category>Google+</category>
      <category>Large language models</category>
      <category>Android</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 13 Apr 2026 21:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/gemma-4-android-ai-inference/?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>2026-04-13T21:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/gemma-4-android-ai-inference/en</dc:identifier>
    </item>
    <item>
      <title>Lyft Scales Global Localization Using AI and Human-in-the-Loop Review</title>
      <link>https://www.infoq.com/news/2026/04/lyft-ai-localization-pipeline/?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/2026/04/lyft-ai-localization-pipeline/en/headerimage/generatedHeaderImage-1775411926263.jpg"/&gt;&lt;p&gt;Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large language models and human review, the system processes most content in minutes, improves international release speed, ensures brand consistency, and handles complex cases like regional idioms and legal messaging efficiently.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>i18n</category>
      <category>localization</category>
      <category>Data Pipelines</category>
      <category>Batch Processing</category>
      <category>Web</category>
      <category>Internationalization</category>
      <category>Automation</category>
      <category>Translation</category>
      <category>Large language models</category>
      <category>Real Time</category>
      <category>App Engine</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 13 Apr 2026 13:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/lyft-ai-localization-pipeline/?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>2026-04-13T13:45:00Z</dc:date>
      <dc:identifier>/news/2026/04/lyft-ai-localization-pipeline/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Reimagining Platform Engagement with Graph Neural Networks</title>
      <link>https://www.infoq.com/presentations/graph-neural-networks/?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-neural-networks/en/mediumimage/Mariia-Bulycheva-medium-1775048997053.jpeg"/&gt;&lt;p&gt;Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.&lt;/p&gt; &lt;i&gt;By Mariia Bulycheva&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Transcripts</category>
      <category>Neural Networks</category>
      <category>Graph Database</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Mon, 13 Apr 2026 13:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/graph-neural-networks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mariia Bulycheva</dc:creator>
      <dc:date>2026-04-13T13:23:00Z</dc:date>
      <dc:identifier>/presentations/graph-neural-networks/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Spring Team on Spring Framework 7 and Spring Boot 4</title>
      <link>https://www.infoq.com/articles/spring-team-spring-7-boot-4/?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/spring-team-spring-7-boot-4/en/headerimage/spring-team-spring-7-boot-4-header-1775634533622.jpg"/&gt;&lt;p&gt;InfoQ recently spoke with key members of the Spring team about the significant architectural and functional advancements in Spring Framework 7 and Spring Boot 4. This conversation explores the strategic shift toward core resilience by integrating features such as retry and concurrency throttling directly into the framework, alongside the performance benefits of modularizing auto-configurations.&lt;/p&gt; &lt;i&gt;By Karsten Silz, Phil Webb, Sam Brannen, Rossen Stoyanchev, Mark Pollack, Martin Lippert, Michael Minella&lt;/i&gt;</description>
      <category>Spring Framework</category>
      <category>Java</category>
      <category>Spring Boot</category>
      <category>AI Coding</category>
      <category>Virtual Panel</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Mon, 13 Apr 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/spring-team-spring-7-boot-4/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Karsten Silz, Phil Webb, Sam Brannen, Rossen Stoyanchev, Mark Pollack, Martin Lippert, Michael Minella</dc:creator>
      <dc:date>2026-04-13T11:00:00Z</dc:date>
      <dc:identifier>/articles/spring-team-spring-7-boot-4/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: How SBOMs and Engineering Discipline Can Help You Avoid Trivy’s Compromise</title>
      <link>https://www.infoq.com/podcasts/help-avoid-trivy-compromise/?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/help-avoid-trivy-compromise/en/smallimage/the-infoq-podcast-logo-thumbnail-1775549272964.jpg"/&gt;&lt;p&gt;Viktor Peterson, part of the CISA task force working on SBOM blueprints and co-founder of sbomify, explores the shifting landscape of software supply chain security as the EU's Cyber Resilience Act (CRA) comes into force, a "GDPR moment" for the industry.&lt;/p&gt; &lt;i&gt;By Viktor Peterson&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Software Development</category>
      <category>Security</category>
      <category>Software Supply Chain</category>
      <category>Compliance</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>podcast</category>
      <pubDate>Mon, 13 Apr 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/help-avoid-trivy-compromise/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Viktor Peterson</dc:creator>
      <dc:date>2026-04-13T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/help-avoid-trivy-compromise/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Sustainability Console with API Access and Scope 1-3 Emissions Reporting</title>
      <link>https://www.infoq.com/news/2026/04/aws-sustainability-console/?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;AWS launched a standalone Sustainability console with API access, configurable CSV exports, and Scope 1-3 emissions data by service and Region. The console decouples emissions reporting from billing permissions. AWS CTO Werner Vogels framed carbon as an architectural metric belonging alongside latency, cost, and error rates in the observability stack.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Amazon</category>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>Sustainable Computing</category>
      <category>Cloud</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 13 Apr 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/aws-sustainability-console/?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>2026-04-13T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/aws-sustainability-console/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Releases Claude Mythos Preview with Cybersecurity Capabilities but Withholds Public Access</title>
      <link>https://www.infoq.com/news/2026/04/anthropic-claude-mythos/?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/2026/04/anthropic-claude-mythos/en/headerimage/generatedHeaderImage-1775828239509.jpg"/&gt;&lt;p&gt;Anthropic has introduced Claude Mythos Preview, its most advanced AI model, improving significantly in reasoning, coding, and cybersecurity. Unlike previous releases, it will not be publicly available. Access is limited to a consortium of tech companies through Project Glasswing. Internal tests revealed the model's ability to discover critical security flaws effectively.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Application Security</category>
      <category>Security Vulnerabilities</category>
      <category>Artificial Intelligence</category>
      <category>Claude</category>
      <category>AI Coding</category>
      <category>Anthropic</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 13 Apr 2026 06:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/anthropic-claude-mythos/?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>2026-04-13T06:35:00Z</dc:date>
      <dc:identifier>/news/2026/04/anthropic-claude-mythos/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: JDK 27 Release Schedule, Hibernate, LangChain4j, Keycloak, Helidon, Junie CLI</title>
      <link>https://www.infoq.com/news/2026/04/java-news-roundup-apr06-2026/?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/2026/04/java-news-roundup-apr06-2026/en/headerimage/java-news-roundup-image-1776028062977.jpg"/&gt;&lt;p&gt;This week's Java roundup for April 6th, 2026, features news highlighting: the fifth preview of Primitive Types in Patterns, instanceof and switch; the proposed release schedule for JDK 27; point releases of Hibernate, LangChain4j, Keycloak and Google ADK for Java; a maintenance release of Helidon; a CVE in Spring Cloud Gateway; and the Junie CLI integrated in JetBrains IDEs.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>LangChain</category>
      <category>Open JDK</category>
      <category>Helidon</category>
      <category>JDK 27</category>
      <category>Junie CLI</category>
      <category>Jakarta EE</category>
      <category>Google ADK for Java</category>
      <category>Spring Cloud</category>
      <category>Java</category>
      <category>Keycloak</category>
      <category>Hibernate ORM</category>
      <category>Open Liberty</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 13 Apr 2026 02:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/java-news-roundup-apr06-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-04-13T02:30:00Z</dc:date>
      <dc:identifier>/news/2026/04/java-news-roundup-apr06-2026/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Copilot CLI Reaches General Availability</title>
      <link>https://www.infoq.com/news/2026/04/github-copilot-cli-ga/?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/2026/04/github-copilot-cli-ga/en/headerimage/header-1775595985599.jpeg"/&gt;&lt;p&gt;GitHub has launched Copilot CLI into general availability, bringing generative AI directly to the terminal. Integrated with the GitHub CLI, it offers natural language command suggestions and code explanations. Recent updates introduce "agentic" workflows with Autopilot mode and GPT-5.4 support, alongside new enterprise telemetry for tracking usage across development teams.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>github</category>
      <category>copilot</category>
      <category>AI Coding</category>
      <category>AI Assisted Coding</category>
      <category>AI Development</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 12 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/github-copilot-cli-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-04-12T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/github-copilot-cli-ga/en</dc:identifier>
    </item>
    <item>
      <title>Etsy Migrates 1000-Shard, 425 TB MySQL Sharding Architecture to Vitess</title>
      <link>https://www.infoq.com/news/2026/04/etsy-vitess-sharding-migration/?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/2026/04/etsy-vitess-sharding-migration/en/headerimage/generatedHeaderImage-1774855136721.jpg"/&gt;&lt;p&gt;The Etsy engineering team recently described how the company migrated its long-running MySQL sharding infrastructure to Vitess. The transition moved shard routing from Etsy’s internal systems to Vitess using vindexes, enabling capabilities such as resharding data and sharding previously unsharded tables.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>MySQL</category>
      <category>Distributed Data</category>
      <category>Sharding</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 11 Apr 2026 07:13:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/etsy-vitess-sharding-migration/?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>2026-04-11T07:13:00Z</dc:date>
      <dc:identifier>/news/2026/04/etsy-vitess-sharding-migration/en</dc:identifier>
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