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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Cloudflare Reclaims 100 TB of RAM by Optimizing Consistent Hashing</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-hashing-optimization/?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/cloudflare-hashing-optimization/en/headerimage/generatedHeaderImage-1790410589563.jpg"/&gt;&lt;p&gt;Cloudflare recently documented how it reduced the memory footprint of its internal load-balancing service by more than 100 TB by optimizing the Rust implementation of consistent hashing in pingora-ketama. The changes compacted hash-ring entries and used statistical analysis of hash distribution and collision rates to reduce the number of hashes per backend by about 90%.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Rust</category>
      <category>Infrastructure Optimisation</category>
      <category>Cloudflare</category>
      <category>Load Balancing</category>
      <category>Performance Tuning</category>
      <category>Hashing</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 24 Oct 2026 08:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-hashing-optimization/?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>2026-10-24T08:10:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-hashing-optimization/en</dc:identifier>
    </item>
    <item>
      <title>CSIRO Uses Serverless Architecture to Query 100x More Genomic Variants on AWS</title>
      <link>https://www.infoq.com/news/2026/10/csiro-serverless-genomic-variant/?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;CSIRO has developed Serverless Beacon, a serverless architecture for querying genomic variants without copying VCF files into a central database. The system combines Amazon S3, Lambda, Athena and DynamoDB, using metadata indexes and HTTP byte range requests to query compressed genomic regions. Tests reported 1.52 second average latency for 10,000 base pair queries.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Serverless</category>
      <category>Cost Optimization</category>
      <category>S3</category>
      <category>AWS Lambda</category>
      <category>Scalability</category>
      <category>Applied Research</category>
      <category>AWS</category>
      <category>Cloud Architecture</category>
      <category>Science</category>
      <category>Distributed Systems</category>
      <category>Architecture</category>
      <category>Distributed Query</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 23 Oct 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/csiro-serverless-genomic-variant/?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>2026-10-23T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/csiro-serverless-genomic-variant/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Lambda Web Functions for Node.js Applications</title>
      <link>https://www.infoq.com/news/2026/10/aws-lambda-web-functions/?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/aws-lambda-web-functions/en/headerimage/generatedHeaderImage-1792762388734.jpg"/&gt;&lt;p&gt;AWS recently introduced Lambda Web Functions, allowing developers to run Node.js web applications using frameworks such as Express and Hono directly on Lambda, with support for concurrent requests and response streaming.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Serverless</category>
      <category>Cloud</category>
      <category>Node.js</category>
      <category>AWS Lambda</category>
      <category>AWS</category>
      <category>Cloud Architecture</category>
      <category>Web Applications</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 23 Oct 2026 12:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/aws-lambda-web-functions/?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>2026-10-23T12:49:00Z</dc:date>
      <dc:identifier>/news/2026/10/aws-lambda-web-functions/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Brings On-Demand CPU and Memory Profiling to Production Workers</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-cpu-memory-profiling/?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/cloudflare-cpu-memory-profiling/en/headerimage/generatedHeaderImage-1791971960113.jpg"/&gt;&lt;p&gt;Cloudflare has introduced on-demand CPU and memory profiling for Workers and Durable Objects, allowing developers to investigate performance bottlenecks in production using interactive flamegraphs.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Performance</category>
      <category>Cloudflare</category>
      <category>Observability</category>
      <category>Memory</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 23 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-cpu-memory-profiling/?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>2026-10-23T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-cpu-memory-profiling/en</dc:identifier>
    </item>
    <item>
      <title>Article: Multi-Cloud FinOps: An Engineering Framework for Cross-Cloud Cost Optimization</title>
      <link>https://www.infoq.com/articles/multi-cloud-finops-cost-optimization/?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/multi-cloud-finops-cost-optimization/en/headerimage/multi-cloud-finops-cost-optimization-header-1792499448017.jpg"/&gt;&lt;p&gt;Multi-cloud flexibility comes with hidden egress costs driven by service placement and communication patterns. This article applies Backend FinOps to cross-cloud architecture, covering cost visibility through FOCUS, workload placement, synchronization models, and CI/CD-integrated cost governance. A controlled experiment shows architecture changes saved far more than rate negotiation alone.&lt;/p&gt; &lt;i&gt;By Vivek Arora&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>Cloud</category>
      <category>Cloud Computing</category>
      <category>FinOps</category>
      <category>Architecture</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 23 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/multi-cloud-finops-cost-optimization/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Vivek Arora</dc:creator>
      <dc:date>2026-10-23T11:00:00Z</dc:date>
      <dc:identifier>/articles/multi-cloud-finops-cost-optimization/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Move Fast, Don’t Break Trust: Shipping Constantly with Humans and Beyond</title>
      <link>https://www.infoq.com/presentations/monzo-microservices-devex/?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/monzo-microservices-devex/en/mediumimage/suhail-patel-medium-1791448951499.jpg"/&gt;&lt;p&gt;Suhail Patel discusses how Monzo structures its software engineering organization and technical stack to ship safely hundreds of times a day. He shares insights into opinionated microservice abstractions, tenancy-based staging, static analysis checks, continuous profiling, demonstrating how a strong internal platform enables engineers and LLMs to iterate rapidly without sacrificing reliability.&lt;/p&gt; &lt;i&gt;By Suhail Patel&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>AI Development</category>
      <category>Code Quality</category>
      <category>Microservices</category>
      <category>QCon London 2026</category>
      <category>Go Language</category>
      <category>Observability</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>Continuous Deployment</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Fri, 23 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/monzo-microservices-devex/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Suhail Patel</dc:creator>
      <dc:date>2026-10-23T11:00:00Z</dc:date>
      <dc:identifier>/presentations/monzo-microservices-devex/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Adds Opt-In Security Scanning for Critical Open-Source Projects</title>
      <link>https://www.infoq.com/news/2026/10/anthropic-oss-security-scanner/?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/anthropic-oss-security-scanner/en/headerimage/generatedHeaderImage-1792523938215.jpg"/&gt;&lt;p&gt;AI company Anthropic has launched OSS Scanner, a free, opt-in service to find vulnerabilities in open-source projects. Enrolled maintainers receive periodic security reports generated by the company's strongest models, including Claude Mythos. The reports are sent without human review, and project maintainers can choose to validate their findings and decide which proposed fixes to accept.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Open Source</category>
      <category>Anthropic</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 23 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/anthropic-oss-security-scanner/?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>2026-10-23T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/anthropic-oss-security-scanner/en</dc:identifier>
    </item>
    <item>
      <title>NgRx 22: Resource Extensions and Dynamic Deep Signals for Angular</title>
      <link>https://www.infoq.com/news/2026/10/ngrx-22-angular/?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/ngrx-22-angular/en/headerimage/generatedHeaderImage-1792664456149.jpg"/&gt;&lt;p&gt;NgRx 22 adds experimental resource extensions that change Angular's resource behavior, so value() is retained during reloads and no longer throws on errors. It also introduces dynamic deep signals for union types, a SignalStoreFeatureType utility, and ESLint v10 support. Upgrading requires Angular 22 and TypeScript 6.0, and most breaking changes have automated migrations.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>Angular</category>
      <category>AngularJS</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 23 Oct 2026 08:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/ngrx-22-angular/?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>2026-10-23T08:08:00Z</dc:date>
      <dc:identifier>/news/2026/10/ngrx-22-angular/en</dc:identifier>
    </item>
    <item>
      <title>Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks</title>
      <link>https://www.infoq.com/news/2026/10/jellyfish-ai-productivity/?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/jellyfish-ai-productivity/en/headerimage/claude-built-c-compiler-1792676797236.jpeg"/&gt;&lt;p&gt;A recent Harvard study of 718 firms, using the Jellyfish analytics platform, finds that although AI coding assistants and agents increase code volume, this does not translate into a corresponding increase in completed work, partly because AI-generated code increases the workload in later stages of development, particularly code review.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>github</category>
      <category>AI coding agents</category>
      <category>Large language models</category>
      <category>Claude</category>
      <category>copilot</category>
      <category>Productivity</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 22 Oct 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/jellyfish-ai-productivity/?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>2026-10-22T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/jellyfish-ai-productivity/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Actors for Agents: Patterns for Production AI</title>
      <link>https://www.infoq.com/presentations/actors-for-production-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/actors-for-production-ai-agents/en/mediumimage/medium-1792065780503.jpeg"/&gt;&lt;p&gt;Manju Rajashekhar explains how the actor model solves the complex runtime challenges of production AI agents. By treating agents as distributed systems, he discusses state ownership, message passing, write-through state, and supervision boundaries to manage failures, continuations, and mutable execution graphs, moving agentic workflows beyond fragile demos to resilient architecture.&lt;/p&gt; &lt;i&gt;By Manju Rajashekhar&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Fault Tolerance</category>
      <category>Transcripts</category>
      <category>Actor Model</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 22 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/actors-for-production-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Manju Rajashekhar</dc:creator>
      <dc:date>2026-10-22T11:00:00Z</dc:date>
      <dc:identifier>/presentations/actors-for-production-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Vercel Labs Open-Sources fx: a Zig Coding Agent Designed to Be Embedded</title>
      <link>https://www.infoq.com/news/2026/10/vercel-zig-fx-agent/?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/vercel-zig-fx-agent/en/headerimage/generatedHeaderImage-1792649903570.jpg"/&gt;&lt;p&gt;Vercel Labs has released fx, an experimental open-source coding agent written in Zig. It runs as a CLI, a script component, or an embedded library, including a WebAssembly build. Early feedback questioned its model-agnostic claim and a name conflict with an existing tool. Vercel says the project is pre-1.0 and changing quickly.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Coding</category>
      <category>OpenAI</category>
      <category>Web Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 22 Oct 2026 09:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/vercel-zig-fx-agent/?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>2026-10-22T09:33:00Z</dc:date>
      <dc:identifier>/news/2026/10/vercel-zig-fx-agent/en</dc:identifier>
    </item>
    <item>
      <title>Article: AI Changes the Data Interface, Not the Query Engine</title>
      <link>https://www.infoq.com/articles/ai-changes-data-interface/?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/ai-changes-data-interface/en/headerimage/header-1792487239242.jpg"/&gt;&lt;p&gt;This article presents a disaster-recovery analytics workflow in which an AI agent generates constrained SQL or Python, DuckDB computes reproducible facts from Parquet, and the agent interprets the results. It explains the determinism split, replayable analysis, and four signals for deciding when an embedded engine is sufficient or a managed lakehouse is justified.&lt;/p&gt; &lt;i&gt;By Peihao Yuan&lt;/i&gt;</description>
      <category>duckdb</category>
      <category>Data Lake</category>
      <category>Disaster Recovery</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Thu, 22 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-changes-data-interface/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Peihao Yuan</dc:creator>
      <dc:date>2026-10-22T09:00:00Z</dc:date>
      <dc:identifier>/articles/ai-changes-data-interface/en</dc:identifier>
    </item>
    <item>
      <title>Harbor Adds Docker Sandboxes to Run Reproducible AI Agent Evals in Isolated MicroVMs</title>
      <link>https://www.infoq.com/news/2026/10/ai-agents-harbor-docker/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/ai-agents-harbor-docker/en/headerimage/generatedHeaderImage-1792589629439.jpg"/&gt;&lt;p&gt;Docker announced that Harbor, the open-source agent evaluation framework, now works with Docker Sandboxes. This change allows each evaluation task to run in its own microVM. So, instead of sharing a container, tasks are isolated for better performance&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Docker</category>
      <category>Agentic AI Architecture</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 22 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/ai-agents-harbor-docker/?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>2026-10-22T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/ai-agents-harbor-docker/en</dc:identifier>
    </item>
    <item>
      <title>Developer behind the AI-Built Adobe Clones Says They Are “Not Anywhere Close to Ready"</title>
      <link>https://www.infoq.com/news/2026/10/photocraft-adobe-parity/?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;A developer used Claude Opus 5.5 to build open-source replacements for seven Adobe applications, promoted them across Reddit with a projection of roughly 100% parity within a month, then told Hacker News the project was not anywhere close to ready. Its own roadmap puts it at 45% ready for real work and 2,300 to 4,100 agent-hours from full parity.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Open Source</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 22 Oct 2026 07:41:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/photocraft-adobe-parity/?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>2026-10-22T07:41:00Z</dc:date>
      <dc:identifier>/news/2026/10/photocraft-adobe-parity/en</dc:identifier>
    </item>
    <item>
      <title>eMudhra Intermediate CA Compromise</title>
      <link>https://www.infoq.com/news/2026/10/emudhra-ca-compromise/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/emudhra-ca-compromise/en/headerimage/weak-link-1792602361259.jpeg"/&gt;&lt;p&gt;Private keys for eight eMudhra intermediate CA certificates have been compromised, allowing attackers to forge certificates for any site. The keys were revealed due to low entropy, not through a known breach. Browsers blocked them using revocation lists, but other software had to remove the emSign ECC G3 root. Unpatched systems remain exposed to forged certificates, including client auth and mTLS.&lt;/p&gt; &lt;i&gt;By Chris Swan&lt;/i&gt;</description>
      <category>Security Incident</category>
      <category>Security</category>
      <category>Web</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 21 Oct 2026 17:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/emudhra-ca-compromise/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Chris Swan</dc:creator>
      <dc:date>2026-10-21T17:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/emudhra-ca-compromise/en</dc:identifier>
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