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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Java News Roundup: GraalVM, Jakarta Data, JNoSQL, Azul Payara, WildFly, Quarkus, Atmosphere</title>
      <link>https://www.infoq.com/news/2026/08/java-news-roundup-aug24-2026/?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/2026/08/java-news-roundup-aug24-2026/en/headerimage/java-news-roundup-image-1788175476923.jpg"/&gt;&lt;p&gt;This week's Java roundup for August 24th, 2026, features news highlighting: the GA release of Atmosphere 4.0; point releases of GraalVM, Azul Payara and Quarkus; a maintenance release of WildFly 41; milestone releases of Jakarta Data and Eclipse JNoSQL; a beta release of the September 2026 edition of Open Liberty; and the release of Docker images for GlassFish 8.0.4.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Azul Payara</category>
      <category>Open Liberty</category>
      <category>JDK 28</category>
      <category>GraalVM</category>
      <category>Glassfish</category>
      <category>Atmosphere</category>
      <category>JBoss WildFly</category>
      <category>Eclipse JNoSQL</category>
      <category>Java</category>
      <category>Quarkus</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Jakarta EE</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 11:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-news-roundup-aug24-2026/?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>2026-08-31T11:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-news-roundup-aug24-2026/en</dc:identifier>
    </item>
    <item>
      <title>Article: Eliminating Long-Lived Credentials in GCP with Workload Identity Federation</title>
      <link>https://www.infoq.com/articles/gcp-wif-scale/?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/gcp-wif-scale/en/headerimage/gcp-wif-scale-header-1787838950646.jpg"/&gt;&lt;p&gt;Long-lived GCP service account keys are secrets that must be managed forever, are hard to rotate, and are easy to leak. Scaling Workload Identity Federation to 120+ production projects shows why it changes how machine identity is approached entirely: keys are secrets to manage, federated identities are trust relationships configured once, gated by attribute conditions.&lt;/p&gt; &lt;i&gt;By Shijin Nair&lt;/i&gt;</description>
      <category>Google Cloud</category>
      <category>Cloud</category>
      <category>Cloud Security</category>
      <category>DevSecOps</category>
      <category>Authentication</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/gcp-wif-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Shijin Nair</dc:creator>
      <dc:date>2026-08-31T11:00:00Z</dc:date>
      <dc:identifier>/articles/gcp-wif-scale/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Scott Jenson on Evolving Desktop OS, Local-First, &amp; Agentic UX</title>
      <link>https://www.infoq.com/podcasts/evolving-desktop-agentic-ux/?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/evolving-desktop-agentic-ux/en/smallimage/infoq-podcast-500-1787734073812.jpg"/&gt;&lt;p&gt;In this episode, Scott Jenson, a veteran UX designer known for his work on the Macintosh, Google Maps, and Chrome examines the long-term stagnation of desktop operating systems and the limitations of current mobile and cloud-centric models.&lt;/p&gt; &lt;i&gt;By Scott Jenson&lt;/i&gt;</description>
      <category>Desktop</category>
      <category>Artificial Intelligence</category>
      <category>Local First</category>
      <category>Operating Systems</category>
      <category>UX</category>
      <category>The InfoQ Podcast</category>
      <category>Large language models</category>
      <category>Design</category>
      <category>Privacy</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>podcast</category>
      <pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/evolving-desktop-agentic-ux/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Scott Jenson</dc:creator>
      <dc:date>2026-08-31T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/evolving-desktop-agentic-ux/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser</title>
      <link>https://www.infoq.com/presentations/local-ai-browser-inference-privacy/?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/local-ai-browser-inference-privacy/en/mediumimage/james-hall-medium-1787813225372.jpeg"/&gt;&lt;p&gt;James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical approaches using WebGPU, Transformers.js, and DuckDB to achieve near-native performance in JavaScript. Through real-world case studies, he explains how to minimize data privacy risks, optimize browser inference, and build rigorous evaluation suites.&lt;/p&gt; &lt;i&gt;By James Hall&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Cloud Computing</category>
      <category>GPU</category>
      <category>QCon London 2026</category>
      <category>Privacy</category>
      <category>Web Browser</category>
      <category>Edge Computing</category>
      <category>Web Development</category>
      <category>Machine Learning</category>
      <category>Local Inference</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/local-ai-browser-inference-privacy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>James Hall</dc:creator>
      <dc:date>2026-08-31T11:00:00Z</dc:date>
      <dc:identifier>/presentations/local-ai-browser-inference-privacy/en</dc:identifier>
    </item>
    <item>
      <title>Foundry Model Router Expands from Two Regions to 28, Refreshing Its Model Pool</title>
      <link>https://www.infoq.com/news/2026/08/foundry-model-router-regions/?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/2026/08/foundry-model-router-regions/en/headerimage/generatedHeaderImage-1787836928169.jpg"/&gt;&lt;p&gt;Microsoft expanded Foundry's model router from two regions to 28 for global standard and 21 for data zone deployments, while adding Claude Opus 4.8 and GPT-5.6 and removing four deprecated models. Default deployments receive pool changes automatically; configured subsets exclude new models until added. The effective context window equals the smallest model in the pool.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Governance</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>Azure</category>
      <category>Microsoft</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 10:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/foundry-model-router-regions/?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>2026-08-31T10:18:00Z</dc:date>
      <dc:identifier>/news/2026/08/foundry-model-router-regions/en</dc:identifier>
    </item>
    <item>
      <title>FlexGanttFX is Open Source</title>
      <link>https://www.infoq.com/news/2026/08/flexgantfx/?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;Dirk Lemmerman has released FlexGanttFX as an open-source resource-scheduling framework under the AGPL license. This JavaFX library enables Gantt chart creation for various industries, optimizing performance with a Canvas rendering method. The framework includes features for task dependency modeling and direct editing, accommodating diverse project planning needs.&lt;/p&gt; &lt;i&gt;By Erik Costlow&lt;/i&gt;</description>
      <category>JavaFX</category>
      <category>Java</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 03:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/flexgantfx/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Erik Costlow</dc:creator>
      <dc:date>2026-08-31T03:48:00Z</dc:date>
      <dc:identifier>/news/2026/08/flexgantfx/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Extends AI Search to Make it Easier for Agents and Developers to Search Custom Data</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-ai-search/?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/2026/08/cloudflare-ai-search/en/headerimage/cloudflare-ai-search-1788105575745.jpeg"/&gt;&lt;p&gt;Cloudflare AI Search is a built-in search and retrieval service designed to give AI agents and applications a ready-to-use search engine over custom data. It supports agent integration, multimodal search, and seamless integration with other Cloudflare tools.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Search Engine</category>
      <category>Cloudflare</category>
      <category>Large language models</category>
      <category>Cloud</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 30 Aug 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-ai-search/?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>2026-08-30T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-ai-search/en</dc:identifier>
    </item>
    <item>
      <title>AWS Open Sources Kiro Crew for Asynchronous Coding Agents</title>
      <link>https://www.infoq.com/news/2026/08/kiro-crew-coding-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/2026/08/kiro-crew-coding-agents/en/headerimage/generatedHeaderImage-1786904775247.jpg"/&gt;&lt;p&gt;Amazon recently announced Kiro Crew, an open-source system for running multiple Kiro coding agents across sessions, tools, and tasks. The new workspace lets developers assign asynchronous coding tasks to AI agents, allowing work such as incident investigation, ticket triage, migrations, and PR monitoring to continue without active supervision.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Development</category>
      <category>AI Assisted Coding</category>
      <category>AWS</category>
      <category>AI Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 30 Aug 2026 08:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/kiro-crew-coding-agents/?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>2026-08-30T08:23:00Z</dc:date>
      <dc:identifier>/news/2026/08/kiro-crew-coding-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Architecting the Data Layer for AI Agents: from Transactional Systems to MCP and Semantic Models</title>
      <link>https://www.infoq.com/presentations/enterprise-data-architecture-ai-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/presentations/enterprise-data-architecture-ai-agents/en/mediumimage/fabiane-nardon-medium-1787218382028.jpeg"/&gt;&lt;p&gt;Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-deterministic LLMs across precision, security, and cost. Nardon details using data mesh, low-latency database architectures, semantic ontologies, and dynamic MCP tool selection to optimize context windows and reduce token overhead in transactional systems.&lt;/p&gt; &lt;i&gt;By Fabiane Nardon&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>AI Security</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Agentic AI Architecture</category>
      <category>AI Cost Optimisation</category>
      <category>Semantic Web</category>
      <category>Large language models</category>
      <category>Data Mesh</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Sat, 29 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/enterprise-data-architecture-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Fabiane Nardon</dc:creator>
      <dc:date>2026-08-29T11:00:00Z</dc:date>
      <dc:identifier>/presentations/enterprise-data-architecture-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Workers Accept Inbound TCP, with gRPC the First Protocol on Top</title>
      <link>https://www.infoq.com/news/2026/08/workers-inbound-tcp-grpc/?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/2026/08/workers-inbound-tcp-grpc/en/headerimage/generatedHeaderImage-1787654507205.jpg"/&gt;&lt;p&gt;Cloudflare Workers can now accept inbound TCP connections through a new connect(socket) handler routed via Spectrum, ending an eight-year restriction to HTTP. Containers get full-duplex gRPC in any language, while Workers get unary and server-streaming through automatic gRPC-web translation. Everything is private beta.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Protocol</category>
      <category>Architecture</category>
      <category>Edge Computing</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 29 Aug 2026 09:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/workers-inbound-tcp-grpc/?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>2026-08-29T09:55:00Z</dc:date>
      <dc:identifier>/news/2026/08/workers-inbound-tcp-grpc/en</dc:identifier>
    </item>
    <item>
      <title>FreeToken Unlocks Frontier MoE Inference on Consumer Hardware via Dynamic Co-Execution</title>
      <link>https://www.infoq.com/news/2026/08/freetoken-local-inference/?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;Researchers from UC Berkeley and MIT have developed FreeToken, an open-source inference engine that enhances the utility of Mixture-of-Experts models on consumer hardware. By implementing a dynamic scheduling policy and optimising weight management, FreeToken improves decoding speeds and execution efficiency in edge AI applications, fostering self-hosted reasoning systems.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Local First</category>
      <category>Large language models</category>
      <category>Model Inference</category>
      <category>Frontier Model</category>
      <category>Local Inference</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 29 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/freetoken-local-inference/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-29T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/freetoken-local-inference/en</dc:identifier>
    </item>
    <item>
      <title>Uber Builds GitFarm to Run Git Operations as a Service for Large-Scale Monorepos</title>
      <link>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?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;Uber’s GitFarm provides Git operations as a centralized service, eliminating local repository clones across large scale monorepo workloads. The platform uses prewarmed checkouts, ephemeral sandboxes, repository synchronization, and gRPC streaming to reduce resource consumption and startup latency for automation services operating across thousands of repositories.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Continuous Integration</category>
      <category>git</category>
      <category>Infrastructure</category>
      <category>Microservices</category>
      <category>GitOps</category>
      <category>Agents</category>
      <category>github</category>
      <category>Continuous Delivery</category>
      <category>GitLab</category>
      <category>Developer Experience</category>
      <category>gRPC</category>
      <category>Management</category>
      <category>Distributed Systems</category>
      <category>Repository</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?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>2026-08-28T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/uber-gitfarm-git-as-a-service/en</dc:identifier>
    </item>
    <item>
      <title>AKS Looks to Make Node Disruption More Predictable with New NAP Guidance</title>
      <link>https://www.infoq.com/news/2026/08/aks-node-disruption/?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/2026/08/aks-node-disruption/en/headerimage/generatedHeaderImage-1787153940553.jpg"/&gt;&lt;p&gt;Microsoft is placing greater emphasis on controlling disruption in Azure Kubernetes Service (AKS) Node Auto-Provisioning (NAP), publishing new guidance to help platform teams balance the efficiency benefits of automated node consolidation with application availability.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Kubernetes Operator</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aks-node-disruption/?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>2026-08-28T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/aks-node-disruption/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved</title>
      <link>https://www.infoq.com/presentations/netflix-commerce-architecture-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/presentations/netflix-commerce-architecture-evolution/en/mediumimage/kasia-trapszo-medium-1787217920531.jpg"/&gt;&lt;p&gt;Kasia Trapszo discusses how Netflix evolved its commerce platform from a U.S. DVD service into global infrastructure. She explains navigating international payment realities, adapting to strict regulatory mandates, decomposing monolithic architectures along domain boundaries, and re-architecting systems for massive live-event demand - proving great systems survive by continually evolving.&lt;/p&gt; &lt;i&gt;By Kasia Trapszo&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>Netflix</category>
      <category>payment</category>
      <category>Design Systems</category>
      <category>Technical Debt</category>
      <category>Distributed Systems</category>
      <category>QCon London 2026</category>
      <category>Microservices</category>
      <category>Performance &amp; Scalability</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 28 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/netflix-commerce-architecture-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kasia Trapszo</dc:creator>
      <dc:date>2026-08-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/netflix-commerce-architecture-evolution/en</dc:identifier>
    </item>
    <item>
      <title>Article: Post-Quantum Cryptography in Spring Boot: Four Patterns You Can Ship This Sprint</title>
      <link>https://www.infoq.com/articles/pqc-in-spring-boot/?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/pqc-in-spring-boot/en/headerimage/pqc-in-spring-boot-header-1787646727709.jpg"/&gt;&lt;p&gt;There are four patterns that bring PQC into a Spring Boot fleet: encrypting payloads between services, locking down database fields, signing documents that need to hold up for decades, and moving service tokens off RS256. Along the way, we discuss why Harvest Now, Decrypt Later is already happening, and why none of this is production-safe until KMS or Vault is in place.&lt;/p&gt; &lt;i&gt;By Pankaj Sharma&lt;/i&gt;</description>
      <category>Spring Security</category>
      <category>Hashicorp</category>
      <category>Quantum Computing</category>
      <category>Java</category>
      <category>Spring Boot</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Fri, 28 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/pqc-in-spring-boot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pankaj Sharma</dc:creator>
      <dc:date>2026-08-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/pqc-in-spring-boot/en</dc:identifier>
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