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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Graphify: Unifying Codebase Context to Streamline Agentic Software Engineering</title>
      <link>https://www.infoq.com/news/2026/09/graphify-codebase-exploration/?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;Graphify is an open-source tool designed to convert codebases and unstructured data into queryable knowledge graphs. Launched in April 2026, it addresses challenges of multi-file reasoning for AI coding assistants. Recent updates have enhanced parser features and cross-file resolutions. Community feedback indicates a promising architecture but notes integration challenges in daily workflows.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Context Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/graphify-codebase-exploration/?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>2026-09-23T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/graphify-codebase-exploration/en</dc:identifier>
    </item>
    <item>
      <title>Beyond Kubernetes at Modal: How to Scale 1 Million Concurrent Sandboxes in Seconds</title>
      <link>https://www.infoq.com/news/2026/09/modal-scaling-sandboxes/?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/modal-scaling-sandboxes/en/headerimage/agent-sandbox-kubernetes-1790170874561.jpeg"/&gt;&lt;p&gt;In a recent article, Colin Weld and Connor Adams, staff engineers at Modal, describe how they rebuilt their sandbox infrastructure from the ground up to support millions of concurrent sandboxes and tens of thousands of sandbox creations per second.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Agents</category>
      <category>Kubernetes</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/modal-scaling-sandboxes/?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>2026-09-23T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/modal-scaling-sandboxes/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Cuts 100 TB of Memory from 1.1.1.1 DNS Cache</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-dns-cache/?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/cloudflare-dns-cache/en/headerimage/generatedHeaderImage-1788755192272.jpg"/&gt;&lt;p&gt;Cloudflare redesigned the in-memory representation of its Big Pineapple DNS cache, reducing the per-entry footprint by 56% and freeing roughly 100 TB of working-set memory across its fleet. The Rust-based changes also increased cache insertion throughput by 43% and reduced lookup latency by 19%, while enabling Cloudflare to increase cache capacity without additional memory.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Scalability</category>
      <category>Caching</category>
      <category>DNS</category>
      <category>Performance</category>
      <category>Rust</category>
      <category>Memory</category>
      <category>Optimization</category>
      <category>Distributed Systems</category>
      <category>Infrastructure</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 13:22:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-dns-cache/?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>2026-09-23T13:22:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-dns-cache/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: APIs for Agents: Rethinking API Programs in the MCP Era</title>
      <link>https://www.infoq.com/presentations/mcp-calm-api-architecture/?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/mcp-calm-api-architecture/en/mediumimage/jim-gough-andreea-niculcea-medium-1789021410351.jpg"/&gt;&lt;p&gt;Jim Gough and Andreea Niculcea explain how Morgan Stanley uses Architecture as Code with CALM to modernize its API program. They demonstrate integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communications, enforcing automated governance through deployment gates, and executing zero-downtime platform upgrades to safely scale enterprise AI and agentic workflows.&lt;/p&gt; &lt;i&gt;By Jim Gough, Andreea Niculcea&lt;/i&gt;</description>
      <category>Deployment</category>
      <category>Enterprise Architecture</category>
      <category>QCon London 2026</category>
      <category>Compliance</category>
      <category>Platform Engineering</category>
      <category>Transcripts</category>
      <category>Agent2Agent</category>
      <category>Governance</category>
      <category>API</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 23 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mcp-calm-api-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Jim Gough, Andreea Niculcea</dc:creator>
      <dc:date>2026-09-23T11:00:00Z</dc:date>
      <dc:identifier>/presentations/mcp-calm-api-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Andrew Kelley Interview: Why He Built Zig, Banned AI Contributions, and Moved Zig off GitHub</title>
      <link>https://www.infoq.com/news/2026/09/andrew-kelley-zig-no-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/andrew-kelley-zig-no-ai/en/headerimage/generatedHeaderImage-1790159119456.jpg"/&gt;&lt;p&gt;In a JetBrains interview, Zig creator Andrew Kelley expanded on the project’s formal ban on AI contributions and the motivation behind its migration off GitHub to Codeberg: automated code submissions decrease codebase quality and weaken the social constructs between open-source participants; persistent GitHub failures and a perceived misalignment of incentives led to migrating to Codeberg.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Rust</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 10:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/andrew-kelley-zig-no-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-09-23T10:36:00Z</dc:date>
      <dc:identifier>/news/2026/09/andrew-kelley-zig-no-ai/en</dc:identifier>
    </item>
    <item>
      <title>Google Adds Cycle-Level Kernel Profiling to XProf</title>
      <link>https://www.infoq.com/news/2026/09/google-tpu-xprof/?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/google-tpu-xprof/en/headerimage/generatedHeaderImage-1790149843663.jpg"/&gt;&lt;p&gt;Google has added a Kernel Profiling suite to XProf. This is its open-source profiler for TPU workloads. Now, developers can see cycle-level details in custom Pallas kernels. Before, these kernels appeared as single opaque blocks in trace captures.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>GPU</category>
      <category>Code Profiler</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/google-tpu-xprof/?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>2026-09-23T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/google-tpu-xprof/en</dc:identifier>
    </item>
    <item>
      <title>Article: Modular Edge Computing at Multi-Tenant SaaS Scale on Cloudflare Workers</title>
      <link>https://www.infoq.com/articles/modular-edge-computing/?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/modular-edge-computing/en/headerimage/modular-edge-computing-header-1789559793469.jpg"/&gt;&lt;p&gt;At multi-tenant SaaS scale, a monolithic edge worker creates deployment coupling and broad blast radius. The article presents a modular Cloudflare Workers architecture using service bindings, with image optimization as a worked example of per-tenant format negotiation and device-aware sizing. It covers multi-CDN differences, staged releases, configuration, and testing.&lt;/p&gt; &lt;i&gt;By Chintan Tank&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>CDN</category>
      <category>Serverless</category>
      <category>Edge Computing</category>
      <category>Cloud Architecture</category>
      <category>Multi-tenancy</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Wed, 23 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/modular-edge-computing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Chintan Tank</dc:creator>
      <dc:date>2026-09-23T09:00:00Z</dc:date>
      <dc:identifier>/articles/modular-edge-computing/en</dc:identifier>
    </item>
    <item>
      <title>Elastic Beanstalk Adds Cluster Mode, Running Applications on Shared EKS Clusters</title>
      <link>https://www.infoq.com/news/2026/09/elastic-beanstalk-cluster-eks/?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 has added Cluster Mode to Elastic Beanstalk, running applications on EKS clusters the service creates and operates. Clusters are assigned by subnet set and cannot be changed afterward, direct cluster access is service-managed, and AWS recommends separate clusters for untrusted or regulated workloads. The mode adds EKS and Auto Mode fees that EC2 discounts do not reduce.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Containers</category>
      <category>Cloud</category>
      <category>AWS</category>
      <category>Cost Optimization</category>
      <category>Platform Engineering</category>
      <category>Kubernetes</category>
      <category>Architecture</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 06:44:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/elastic-beanstalk-cluster-eks/?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>2026-09-23T06:44:00Z</dc:date>
      <dc:identifier>/news/2026/09/elastic-beanstalk-cluster-eks/en</dc:identifier>
    </item>
    <item>
      <title>Google Open-Sources AX a Kubernetes Style Orchestrator for Autonomous AI Agents</title>
      <link>https://www.infoq.com/news/2026/09/google-ax-orchestrator/?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/google-ax-orchestrator/en/headerimage/generatedHeaderImage-1790059907704.jpg"/&gt;&lt;p&gt;Google has open-sourced AX, an orchestrator designed for managing autonomous AI agent workloads. AX operates on a runtime, Agent Substrate, treating agents as stateful actors. It provides resource-efficient task suspension and resumption to optimise performance and reduce latency in idle phases. It features a control plane with Kubernetes-style primitives for managing agent tasks and resources.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Infrastructure</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/google-ax-orchestrator/?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>2026-09-22T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/google-ax-orchestrator/en</dc:identifier>
    </item>
    <item>
      <title>GitLab Duo Expands Self-Hosted AI Options Through Microsoft Foundry</title>
      <link>https://www.infoq.com/news/2026/09/gitlab-microsoft-foundry/?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/gitlab-microsoft-foundry/en/headerimage/generatedHeaderImage-1789544515151.jpg"/&gt;&lt;p&gt;GitLab has expanded GitLab Duo Self-Hosted to support models deployed through Microsoft Foundry, letting organizations run GitLab's AI development capabilities against models hosted in their chosen Azure environment.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>GitLab</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gitlab-microsoft-foundry/?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>2026-09-22T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/gitlab-microsoft-foundry/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering</title>
      <link>https://www.infoq.com/presentations/lessons-startup-engineering/?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/lessons-startup-engineering/en/mediumimage/david-medium-1789631290867.jpeg"/&gt;&lt;p&gt;David Gudeman discusses battle-tested architectural patterns for resource-constrained engineering teams. Drawing from over a decade of startup experience, he explains how pairing GCP, Firebase, and Cloud Run accelerates product-market fit. Learn how to eliminate redundant frontend state, structure event-driven backends, and maintain lean DevOps while building for long-term scalability.&lt;/p&gt; &lt;i&gt;By David Gudeman&lt;/i&gt;</description>
      <category>Startup</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Best Practices</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 22 Sep 2026 09:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/lessons-startup-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>David Gudeman</dc:creator>
      <dc:date>2026-09-22T09:04:00Z</dc:date>
      <dc:identifier>/presentations/lessons-startup-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Changesets v3: Bumps Peer Dependents by Patch and Ships ESM Only with an 88% Smaller Install</title>
      <link>https://www.infoq.com/news/2026/09/changesets-v3-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/changesets-v3-release/en/headerimage/generatedHeaderImage-1789995898981.jpg"/&gt;&lt;p&gt;Changesets v3.0, released on August 11, 2026, introduces significant updates for JavaScript monorepos. It offers leaner installations, a rebuilt CLI, and changes to peer dependency management that resolve long-standing complaints. Upgrading involves configuration updates. The tool focuses on versioning and changelogs while supporting contributors in declaring release intents.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>JavaScript</category>
      <category>Automated Deployment</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 06:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/changesets-v3-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>2026-09-22T06:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/changesets-v3-release/en</dc:identifier>
    </item>
    <item>
      <title>Out-of-Order HTML Streaming Moves from JS Frameworks into the Browser</title>
      <link>https://www.infoq.com/news/2026/09/native-deferred-html-streaming/?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/native-deferred-html-streaming/en/headerimage/generatedHeaderImage-1790034315151.jpg"/&gt;&lt;p&gt;Out-of-order HTML streaming, a user experience pattern popularized by front-end frameworks and that allows users to view and interact faster with a page before it is entirely loaded, is making its way to web browsers. The proposal has the browser patching placeholders as data arrives. Developers can use either declarative HTML or matching JavaScript APIs. Available in Chrome 151.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>React</category>
      <category>User Experience</category>
      <category>JavaScript</category>
      <category>HTML</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 23:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/native-deferred-html-streaming/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-09-21T23:57:00Z</dc:date>
      <dc:identifier>/news/2026/09/native-deferred-html-streaming/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: JDK 27, Open J Proxy, A2A Jakarta, Azul Payara, BoxLang, Netflix ja</title>
      <link>https://www.infoq.com/news/2026/09/java-news-roundup-sep14-2026/?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/java-news-roundup-sep14-2026/en/headerimage/java-news-roundup-image-1790009899544.jpg"/&gt;&lt;p&gt;This week's Java roundup for September 14th, 2026, features news highlighting: the GA release of JDK 27, LibericaJDK 27, Open J Proxy 1.0 and A2A Jakarta 1.0; point releases of Azul Payara, JHipster, JetBrains Ktor and BoxLang; and introducing Netflix ja, a modern JMS command line development experience for Java developers.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>JDK 27</category>
      <category>LibericaJDK</category>
      <category>Java</category>
      <category>Netflix</category>
      <category>JHipster</category>
      <category>Open J Proxy</category>
      <category>JDK 28</category>
      <category>BoxLang</category>
      <category>Jakarta EE</category>
      <category>Ktor</category>
      <category>Agent2Agent</category>
      <category>Azul Payara</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/java-news-roundup-sep14-2026/?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>2026-09-21T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/java-news-roundup-sep14-2026/en</dc:identifier>
    </item>
    <item>
      <title>Uber Redesigns M3DB Sharding with Subclusters to Limit Failure Impact</title>
      <link>https://www.infoq.com/news/2026/09/uber-m3db-subcluster-sharding/?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/uber-m3db-subcluster-sharding/en/headerimage/generatedHeaderImage-1788717337142.jpg"/&gt;&lt;p&gt;Uber has redesigned shard placement in M3DB with fixed size subclusters to limit the impact of node failures, maintenance, and cluster scaling. The approach bounds shard dependencies, preserves replica isolation, and uses a greedy algorithm to select shard migrations while avoiding a separate rebalancing pass and unnecessary data movement.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Database</category>
      <category>Database Replication</category>
      <category>Load Balancing</category>
      <category>Sharding</category>
      <category>Availability</category>
      <category>Distributed Systems</category>
      <category>Clusters</category>
      <category>Scalability</category>
      <category>Time Series Data</category>
      <category>Open Source</category>
      <category>Uber</category>
      <category>Microservices</category>
      <category>Algorithms</category>
      <category>Fault Tolerance</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 14:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/uber-m3db-subcluster-sharding/?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>2026-09-21T14:37:00Z</dc:date>
      <dc:identifier>/news/2026/09/uber-m3db-subcluster-sharding/en</dc:identifier>
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