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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents</title>
      <link>https://www.infoq.com/news/2026/09/openclaw-2-release/?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/2026/09/openclaw-2-release/en/headerimage/generatedHeaderImage-1788278004063.jpg"/&gt;&lt;p&gt;OpenClaw has released OpenClaw 2.0, a major update to the open-source personal AI agent that changes its installation process, browser interface, memory, skills, automations, plugins, security, and collaboration features.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Claude</category>
      <category>ChatGPT</category>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 01 Sep 2026 18:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openclaw-2-release/?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>2026-09-01T18:47:00Z</dc:date>
      <dc:identifier>/news/2026/09/openclaw-2-release/en</dc:identifier>
    </item>
    <item>
      <title>InfoQ previews the September cohorts of its online certification programs</title>
      <link>https://www.infoq.com/news/2026/09/infoq-online-cohorts-sept-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/2026/09/infoq-online-cohorts-sept-2026/en/headerimage/InfoQ-news-cohorts-1788263191137.jpg"/&gt;&lt;p&gt;A preview of the September cohorts of the InfoQ Online Certification Programs, and the facilitators leading them: Luca Mezzalira, Michelle Brush, Zichuan Xiong, and Premanand Chandrasekaran.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Architecture ICSAET</category>
      <category>InfoQ Certification Program</category>
      <category>Engineering Leadership Certification</category>
      <category>AI Engineering Certification</category>
      <category>AI Security &amp; Privacy Engineering Certification</category>
      <category>AI-Assisted Engineering Certification</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Tue, 01 Sep 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/infoq-online-cohorts-sept-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-09-01T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/infoq-online-cohorts-sept-2026/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond Line Charts: Why Some Diversity in Telemetry Visualization Is Long Overdue</title>
      <link>https://www.infoq.com/presentations/telemetry-data/?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/telemetry-data/en/mediumimage/yao-yue-medium-1787812332305.jpeg"/&gt;&lt;p&gt;Yao Yue discusses the fundamental limitations of standard line charts for system observability. Drawing from 15 years of operating large-scale systems, she shares how engineering leaders and software architects can transform telemetry data - moving beyond simple time-series defaults - to build visualizations that directly answer critical capacity, latency, and fleet-sizing questions.&lt;/p&gt; &lt;i&gt;By Yao Yue&lt;/i&gt;</description>
      <category>Telemetry</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 01 Sep 2026 12:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/telemetry-data/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Yao Yue</dc:creator>
      <dc:date>2026-09-01T12:35:00Z</dc:date>
      <dc:identifier>/presentations/telemetry-data/en</dc:identifier>
    </item>
    <item>
      <title>HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure</title>
      <link>https://www.infoq.com/news/2026/09/hcp-terraform-ai-driven-control/?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/2026/09/hcp-terraform-ai-driven-control/en/headerimage/generatedHeaderImage-1787561761498.jpg"/&gt;&lt;p&gt;HashiCorp is positioning HCP Terraform as the governance and control plane for a new generation of AI-driven infrastructure, arguing that the rapid adoption of coding agents is shifting the biggest infrastructure challenge from writing configuration to verifying and safely executing it.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Terraform</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>AI Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 01 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/hcp-terraform-ai-driven-control/?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>2026-09-01T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/hcp-terraform-ai-driven-control/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash’s Flux Runs 130,000 Engineering Tasks Through Cloud-Based Agents</title>
      <link>https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/?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;DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks in one month and supports more than 25,000 automated code reviews weekly. Flux uses isolated Firecracker microVMs, an MCP gateway, reusable playbooks, and multiple invocation surfaces to run agent workflows with scoped access and centralized auditing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Coding</category>
      <category>VM</category>
      <category>Software Engineering</category>
      <category>Agents</category>
      <category>Code Reviews</category>
      <category>AI Development</category>
      <category>AI Security</category>
      <category>AI Harness</category>
      <category>Continuous Deployment</category>
      <category>Infrastructure</category>
      <category>Cloud</category>
      <category>Continuous Improvement</category>
      <category>AI Architecture</category>
      <category>Developer Experience</category>
      <category>AIOps</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 14:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/?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>2026-08-31T14:28:00Z</dc:date>
      <dc:identifier>/news/2026/08/doordash-flux-cloud-agent/en</dc:identifier>
    </item>
    <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>Glassfish</category>
      <category>JBoss WildFly</category>
      <category>Open Liberty</category>
      <category>GraalVM</category>
      <category>Azul Payara</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Jakarta EE</category>
      <category>Atmosphere</category>
      <category>Quarkus</category>
      <category>Java</category>
      <category>JDK 28</category>
      <category>Eclipse JNoSQL</category>
      <category>Development</category>
      <category>Architecture &amp; Design</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>Cloud Security</category>
      <category>Cloud</category>
      <category>Google Cloud</category>
      <category>DevSecOps</category>
      <category>Authentication</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</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>Privacy</category>
      <category>UX</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Local First</category>
      <category>The InfoQ Podcast</category>
      <category>Desktop</category>
      <category>Design</category>
      <category>Operating Systems</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</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>QCon London 2026</category>
      <category>Privacy</category>
      <category>Web Browser</category>
      <category>Edge Computing</category>
      <category>GPU</category>
      <category>AI Security</category>
      <category>Cloud Computing</category>
      <category>Web Development</category>
      <category>Transcripts</category>
      <category>Local Inference</category>
      <category>Machine Learning</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</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>Generative AI</category>
      <category>Azure</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>Governance</category>
      <category>AI Architecture</category>
      <category>Microsoft</category>
      <category>Microsoft Azure</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</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>Java</category>
      <category>JavaFX</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>Search Engine</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</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>AWS</category>
      <category>AI Coding</category>
      <category>AI Assisted Coding</category>
      <category>Agents</category>
      <category>AI Development</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>Data Mesh</category>
      <category>AI Cost Optimisation</category>
      <category>Semantic Web</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Security</category>
      <category>Agentic AI Architecture</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</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>Protocol</category>
      <category>Architecture</category>
      <category>Edge Computing</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</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>
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