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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Article: The App Is Just the Tip: What It Takes to Build Mobile Infrastructure at Scale</title>
      <link>https://www.infoq.com/articles/mobile-app-infrastructure-at-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/mobile-app-infrastructure-at-scale/en/headerimage/mobile-app-infrastructure-at-scale-header-1793263251757.jpg"/&gt;&lt;p&gt;What determines whether your app feels fast, ships often, and stays stable at scale is not the app itself. It is what sits behind it. This article is about that layer: what it does, why it exists, what it takes to design it correctly, and what happens when you try to migrate a live, high-traffic product onto it without a safety net.&lt;/p&gt; &lt;i&gt;By Kirill Sokolov&lt;/i&gt;</description>
      <category>iOS</category>
      <category>Mobile</category>
      <category>REST</category>
      <category>Microservices</category>
      <category>API</category>
      <category>Android</category>
      <category>Architecture</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 04 Nov 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/mobile-app-infrastructure-at-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kirill Sokolov</dc:creator>
      <dc:date>2026-11-04T09:00:00Z</dc:date>
      <dc:identifier>/articles/mobile-app-infrastructure-at-scale/en</dc:identifier>
    </item>
    <item>
      <title>Docker Urges Isolation and Governance for AI Agent Security</title>
      <link>https://www.infoq.com/news/2026/11/docker-ai-agent-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/2026/11/docker-ai-agent-security/en/headerimage/generatedHeaderImage-1793733720293.jpg"/&gt;&lt;p&gt;Docker has published a guide to five security risks that arise when AI agents are allowed to browse, run code and call tools with limited human oversight. They argue that the autonomy that makes agents useful also makes conventional application security controls insufficient. The company positions isolation and governance, rather than model improvements alone, as the main defences.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Agentic AI Architecture</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 04 Nov 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/docker-ai-agent-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-11-04T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/docker-ai-agent-security/en</dc:identifier>
    </item>
    <item>
      <title>Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device</title>
      <link>https://www.infoq.com/news/2026/11/litert-tensor-api/?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/2026/11/litert-tensor-api/en/headerimage/litert-tensor-api-1793729374644.jpeg"/&gt;&lt;p&gt;Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of native model authoring with cross-platform portability.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>iOS</category>
      <category>Mobile</category>
      <category>Open Source</category>
      <category>AI coding agents</category>
      <category>C++</category>
      <category>Edge Computing</category>
      <category>TensorFlow</category>
      <category>Android</category>
      <category>GPU</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 03 Nov 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/litert-tensor-api/?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>2026-11-03T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/litert-tensor-api/en</dc:identifier>
    </item>
    <item>
      <title>Vitest 5: Prioritises Performance with a Shared Vite Server, Trace View, and Stricter Test Defaults</title>
      <link>https://www.infoq.com/news/2026/11/vite-5-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/2026/11/vite-5-release/en/headerimage/generatedHeaderImage-1793723335877.jpg"/&gt;&lt;p&gt;Vitest 5.0 focuses on speed, with reported gains of 8 to 25 percent in most setups and up to 53 percent in VM pools. It adds a vitest doctor command, Browser Mode Trace View, and vi.when. Defaults are stricter: clearMocks is true and unawaited async assertions fail. It requires Vite 6.4 and Node.js 22.12 or newer.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 03 Nov 2026 16:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/vite-5-release/?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>2026-11-03T16:47:00Z</dc:date>
      <dc:identifier>/news/2026/11/vite-5-release/en</dc:identifier>
    </item>
    <item>
      <title>LinkedIn Uses OpenTelemetry to Trace the Member Journey from Tap to Backend</title>
      <link>https://www.infoq.com/news/2026/11/linkedin-opentelemetry-journey/?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/2026/11/linkedin-opentelemetry-journey/en/headerimage/generatedHeaderImage-1793095474316.jpg"/&gt;&lt;p&gt;LinkedIn has built an OpenTelemetry-based telemetry platform that connects what members do in its iOS, Android, and web applications with the backend services processing those interactions.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>User Experience</category>
      <category>LinkedIn</category>
      <category>OpenTelemetry</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 03 Nov 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/linkedin-opentelemetry-journey/?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>2026-11-03T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/linkedin-opentelemetry-journey/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond the Harness: Canvas for AI Agents</title>
      <link>https://www.infoq.com/presentations/canvas-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/canvas-ai-agents/en/mediumimage/nimisha-asthagiri-medium-1792655073821.jpg"/&gt;&lt;p&gt;Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently.&lt;/p&gt; &lt;i&gt;By Nimisha Asthagiri&lt;/i&gt;</description>
      <category>Metrics</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Leadership</category>
      <category>Context Engineering</category>
      <category>Evolutionary Architecture</category>
      <category>Transcripts</category>
      <category>AI Harness</category>
      <category>Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Tue, 03 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Nimisha Asthagiri</dc:creator>
      <dc:date>2026-11-03T11:00:00Z</dc:date>
      <dc:identifier>/presentations/canvas-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Google and Meta Open-Source TorchTPU to Bring Native PyTorch Support to Google TPUs</title>
      <link>https://www.infoq.com/news/2026/11/torchtpu-native-pythorch-tpu/?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/2026/11/torchtpu-native-pythorch-tpu/en/headerimage/torchtpu-1793636927771.jpeg"/&gt;&lt;p&gt;TorchTPU is an open-source project developed by Google in collaboration with Meta that provides a native PyTorch backend for Google TPUs. It enables PyTorch workloads to execute on TPU hardware with minimal code modifications, supporting eager and compiled execution, distributed computing, and hardware-specific optimizations.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>GPU</category>
      <category>Facebook</category>
      <category>Google</category>
      <category>PyTorch</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/torchtpu-native-pythorch-tpu/?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>2026-11-02T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/torchtpu-native-pythorch-tpu/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: TornadoVM 8.0, JNoSQL, Endive, JReleaser, JBang, LangChain4j, Quarkus Almanac</title>
      <link>https://www.infoq.com/news/2026/11/java-news-roundup-oct26-2026/?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/2026/11/java-news-roundup-oct26-2026/en/headerimage/java-news-roundup-image-1793638258393.jpg"/&gt;&lt;p&gt;This week's Java roundup for October 26th, 2026, features news highlighting: the GA release of TornadoVM 8.0; point releases of JNoSQL, Endive, JBang, JReleaser and LangChain4j; a maintenance release of JobRunr; beta releases of Hibernate ORM and Hibernate Reactive; and introducing the Quarkus Almanac.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>LangChain4j</category>
      <category>Quarkus</category>
      <category>Java</category>
      <category>Eclipse JNoSQL</category>
      <category>JobRunr</category>
      <category>JReleaser</category>
      <category>JBang</category>
      <category>Gradle</category>
      <category>JDK 28</category>
      <category>Endive</category>
      <category>Hibernate Reactive</category>
      <category>TornadoVM</category>
      <category>Hibernate ORM</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/java-news-roundup-oct26-2026/?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>2026-11-02T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/java-news-roundup-oct26-2026/en</dc:identifier>
    </item>
    <item>
      <title>Uber Builds MCP Gateway to Govern Access to 800+ Servers and 5,000+ AI Agent Tools</title>
      <link>https://www.infoq.com/news/2026/11/uber-mcp-gateway-ai-agents/?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 has built an MCP Gateway to standardize how AI agents discover and invoke internal services across more than 800 MCP servers and 5,000 tools. The gateway separates tool registration from runtime execution and includes automated API discovery, access controls, sensitive data redaction, incremental tool discovery through Omni MCP, and response filtering.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>gRPC</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Agents</category>
      <category>Service Discovery</category>
      <category>REST</category>
      <category>Thrift</category>
      <category>Microservices</category>
      <category>API Gateway</category>
      <category>Infrastructure</category>
      <category>Distributed Systems</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/uber-mcp-gateway-ai-agents/?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>2026-11-02T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/11/uber-mcp-gateway-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures</title>
      <link>https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?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/agentic-ai-context-memory-knowledge/en/headerimage/agentic-ai-context-memory-knowledge-header-1793173492489.jpg"/&gt;&lt;p&gt;The article argues that reliable agentic AI architecture depends on a context engine that selects, injects, compresses, and expires information before it reaches the model. It separates context, memory, and knowledge, and recommends tiered memory, curated knowledge, and token budgeting. It also covers common anti-patterns, such as context stuffing and stale data loops, with mitigations.&lt;/p&gt; &lt;i&gt;By Adi Polak&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Context Engineering</category>
      <category>Memory</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 02 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Adi Polak</dc:creator>
      <dc:date>2026-11-02T11:00:00Z</dc:date>
      <dc:identifier>/articles/agentic-ai-context-memory-knowledge/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Educating an Architect: A Conversation with Luca Mezzalira</title>
      <link>https://www.infoq.com/podcasts/educating-architect-conversation-luca-mezzalira/?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/educating-architect-conversation-luca-mezzalira/en/smallimage/infoq-podcast-500-1793347709702.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Luca Mezzalira about software architecture as a socio-technical discipline that balances technological design with an organization's social and managerial context. They explored how architectural choices must be adapted to a company's unique culture and team structure rather than relying blindly on universal best practices.&lt;/p&gt; &lt;i&gt;By Luca Mezzalira&lt;/i&gt;</description>
      <category>Software Engineering Education</category>
      <category>Design</category>
      <category>Software Development</category>
      <category>The InfoQ Podcast</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 02 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/educating-architect-conversation-luca-mezzalira/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Luca Mezzalira</dc:creator>
      <dc:date>2026-11-02T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/educating-architect-conversation-luca-mezzalira/en</dc:identifier>
    </item>
    <item>
      <title>Shopify Overexposed Scans GKE Ingresses and Cloud Run for Exposure</title>
      <link>https://www.infoq.com/news/2026/11/shopify-kubernetes-ingresses/?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/2026/11/shopify-kubernetes-ingresses/en/headerimage/generatedHeaderImage-1793520999206.jpg"/&gt;&lt;p&gt;Shopify has introduced Overexposed. This internal scanner locates Kubernetes Ingresses on GKE and Cloud Run services. It checks for those that are accessible from the internet without authentication.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Cloud</category>
      <category>Cloud Security</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/shopify-kubernetes-ingresses/?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>2026-11-02T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/shopify-kubernetes-ingresses/en</dc:identifier>
    </item>
    <item>
      <title>AWS Capacity Largely Sold out through 2027, with On-Demand Headroom Reserved</title>
      <link>https://www.infoq.com/news/2026/11/aws-capacity-sold-out/?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/2026/11/aws-capacity-sold-out/en/headerimage/generatedHeaderImage-1793124716899.jpg"/&gt;&lt;p&gt;Amazon CEO Andy Jassy says AWS’s large committed cloud capacity is largely sold out through 2027, with part of 2028 already allocated, while the company continues to reserve headroom for On Demand, EC2 and Bedrock. Practitioners discussing the remarks report difficulty obtaining On Demand capacity for ordinary EC2 instances, and similar constraints at other providers.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Capacity Planning</category>
      <category>AWS</category>
      <category>Amazon Web Services</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 01 Nov 2026 08:03:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/aws-capacity-sold-out/?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>2026-11-01T08:03:00Z</dc:date>
      <dc:identifier>/news/2026/11/aws-capacity-sold-out/en</dc:identifier>
    </item>
    <item>
      <title>File Mover Express: AWS Releases Open-Source Tool for S3 File Transfers</title>
      <link>https://www.infoq.com/news/2026/11/aws-s3-file-transfer/?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/2026/11/aws-s3-file-transfer/en/headerimage/generatedHeaderImage-1792218946629.jpg"/&gt;&lt;p&gt;AWS has recently released File Mover Express, an open-source application under the Apache 2.0 license for transferring large files between local systems and Amazon S3. Available for macOS, Windows, and Linux, it supports parallel transfers, automatic performance tuning, retries, pause and resume, and file integrity verification.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Open Source</category>
      <category>S3</category>
      <category>Go Language</category>
      <category>AWS</category>
      <category>Data Storage</category>
      <category>Data Transfer Objects</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 01 Nov 2026 06:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/aws-s3-file-transfer/?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>2026-11-01T06:32:00Z</dc:date>
      <dc:identifier>/news/2026/11/aws-s3-file-transfer/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare’s Post-Quantum GeoKey Manager Enters Closed Beta without Attribute-Based Encryption</title>
      <link>https://www.infoq.com/news/2026/10/cf-pq-geokey-manager/?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/2026/10/cf-pq-geokey-manager/en/headerimage/generatedHeaderImage-1793376907936.jpg"/&gt;&lt;p&gt;Cloudflare has moved a post-quantum rebuild of GeoKey Manager into closed beta, guarding geo-fenced keys with hybrid ML-KEM-768 and X25519 instead of the attribute-based encryption used since 2022. Keys live only in kernel memory on verified regional servers, and any failed check rejects the request, a fail-closed choice practitioners ask could cause a regional outage. GA is planned for Q1 2027.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Encryption</category>
      <category>Security</category>
      <category>Quantum Computing</category>
      <category>Cloud Computing</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 31 Oct 2026 19:56:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cf-pq-geokey-manager/?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>2026-10-31T19:56:00Z</dc:date>
      <dc:identifier>/news/2026/10/cf-pq-geokey-manager/en</dc:identifier>
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