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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>Uber Builds GitFarm to Run Git Operations as a Service for Large-Scale Monorepos</title>
      <link>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Uber’s GitFarm provides Git operations as a centralized service, eliminating local repository clones across large scale monorepo workloads. The platform uses prewarmed checkouts, ephemeral sandboxes, repository synchronization, and gRPC streaming to reduce resource consumption and startup latency for automation services operating across thousands of repositories.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Continuous Integration</category>
      <category>git</category>
      <category>Infrastructure</category>
      <category>Microservices</category>
      <category>GitOps</category>
      <category>Agents</category>
      <category>github</category>
      <category>Continuous Delivery</category>
      <category>GitLab</category>
      <category>Developer Experience</category>
      <category>gRPC</category>
      <category>Management</category>
      <category>Distributed Systems</category>
      <category>Repository</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-28T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/uber-gitfarm-git-as-a-service/en</dc:identifier>
    </item>
    <item>
      <title>AKS Looks to Make Node Disruption More Predictable with New NAP Guidance</title>
      <link>https://www.infoq.com/news/2026/08/aks-node-disruption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/aks-node-disruption/en/headerimage/generatedHeaderImage-1787153940553.jpg"/&gt;&lt;p&gt;Microsoft is placing greater emphasis on controlling disruption in Azure Kubernetes Service (AKS) Node Auto-Provisioning (NAP), publishing new guidance to help platform teams balance the efficiency benefits of automated node consolidation with application availability.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Kubernetes Operator</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aks-node-disruption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-08-28T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/aks-node-disruption/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved</title>
      <link>https://www.infoq.com/presentations/netflix-commerce-architecture-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/netflix-commerce-architecture-evolution/en/mediumimage/kasia-trapszo-medium-1787217920531.jpg"/&gt;&lt;p&gt;Kasia Trapszo discusses how Netflix evolved its commerce platform from a U.S. DVD service into global infrastructure. She explains navigating international payment realities, adapting to strict regulatory mandates, decomposing monolithic architectures along domain boundaries, and re-architecting systems for massive live-event demand - proving great systems survive by continually evolving.&lt;/p&gt; &lt;i&gt;By Kasia Trapszo&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>Netflix</category>
      <category>payment</category>
      <category>Design Systems</category>
      <category>Technical Debt</category>
      <category>Distributed Systems</category>
      <category>QCon London 2026</category>
      <category>Microservices</category>
      <category>Performance &amp; Scalability</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 28 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/netflix-commerce-architecture-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kasia Trapszo</dc:creator>
      <dc:date>2026-08-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/netflix-commerce-architecture-evolution/en</dc:identifier>
    </item>
    <item>
      <title>Article: Post-Quantum Cryptography in Spring Boot: Four Patterns You Can Ship This Sprint</title>
      <link>https://www.infoq.com/articles/pqc-in-spring-boot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/pqc-in-spring-boot/en/headerimage/pqc-in-spring-boot-header-1787646727709.jpg"/&gt;&lt;p&gt;There are four patterns that bring PQC into a Spring Boot fleet: encrypting payloads between services, locking down database fields, signing documents that need to hold up for decades, and moving service tokens off RS256. Along the way, we discuss why Harvest Now, Decrypt Later is already happening, and why none of this is production-safe until KMS or Vault is in place.&lt;/p&gt; &lt;i&gt;By Pankaj Sharma&lt;/i&gt;</description>
      <category>Spring Security</category>
      <category>Hashicorp</category>
      <category>Quantum Computing</category>
      <category>Java</category>
      <category>Spring Boot</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Fri, 28 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/pqc-in-spring-boot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pankaj Sharma</dc:creator>
      <dc:date>2026-08-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/pqc-in-spring-boot/en</dc:identifier>
    </item>
    <item>
      <title>Meta Expands Its Custom Silicon Strategy From Compute Into Networking</title>
      <link>https://www.infoq.com/news/2026/08/meta-hccl/?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;Meta has detailed MTIA 300, its first in-house accelerator optimized for training ranking and recommendation models.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Hardware</category>
      <category>Supercomputer</category>
      <category>Networking</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 07:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/meta-hccl/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-08-28T07:43:00Z</dc:date>
      <dc:identifier>/news/2026/08/meta-hccl/en</dc:identifier>
    </item>
    <item>
      <title>Audio Fingerprinting Discovered on Alibaba Websites While Debugging BLE Multipoint Disconnects</title>
      <link>https://www.infoq.com/news/2026/08/alibaba-audio-fingerprinting/?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 recent discovery revealed that AliExpress employs silent audio streams for device fingerprinting, leveraging the Web Audio API. This technique involves analyzing hardware-specific audio processing to distinguish user devices. Privacy-focused browsers have developed countermeasures, highlighting a security gap in current web standards regarding audio context initialization and user privacy.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>Web Browser</category>
      <category>Privacy</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 07:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/alibaba-audio-fingerprinting/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-28T07:07:00Z</dc:date>
      <dc:identifier>/news/2026/08/alibaba-audio-fingerprinting/en</dc:identifier>
    </item>
    <item>
      <title>Spring News Roundup: First Milestone Releases for Boot, Framework, Data, Security, Modulith, Batch</title>
      <link>https://www.infoq.com/news/2026/08/spring-news-roundup-aug17-2026/?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/spring-news-roundup-aug17-2026/en/headerimage/spring-news-roundup-image-1787845727439.jpg"/&gt;&lt;p&gt;After a 10-week hiatus since the last batch of Spring ecosystem releases, there was a flurry of activity during the week of August 17th, 2026, highlighting first milestone releases of: Spring Boot, Spring Framework, Spring Data, Spring Security, Spring Integration, Spring HATEOAS, Spring Modulith, Spring Batch, Spring AMQP and Spring for Apache Kafka.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Spring Security</category>
      <category>Spring Integration</category>
      <category>Spring Modulith</category>
      <category>Spring Framework</category>
      <category>Spring Data</category>
      <category>Java</category>
      <category>Spring Batch</category>
      <category>Spring Boot</category>
      <category>Apache Kafka</category>
      <category>AMQP</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 15:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/spring-news-roundup-aug17-2026/?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>2026-08-27T15:50:00Z</dc:date>
      <dc:identifier>/news/2026/08/spring-news-roundup-aug17-2026/en</dc:identifier>
    </item>
    <item>
      <title>Google Cloud Launches AI-powered Agents to Simplify Database Lifecycle Management</title>
      <link>https://www.infoq.com/news/2026/08/google-database-operation-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/google-database-operation-agents/en/headerimage/google-database-operations-agents-1787842474177.jpeg"/&gt;&lt;p&gt;Google Cloud has introduced AI-powered Database Operations Agents, featuring an Onboarding Agent that streamlines database setup and an Observability Agent that helps automate troubleshooting, performance optimization, and tuning. Integrated with Gemini Cloud Assist, these agents support multiple database services, including AlloyDB, Bigtable, and Spanner.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Google Cloud</category>
      <category>Gemini</category>
      <category>Cloud</category>
      <category>Database</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/google-database-operation-agents/?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>2026-08-27T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/google-database-operation-agents/en</dc:identifier>
    </item>
    <item>
      <title>Astro Introduces Sätteri: A Rust-powered Markdown And Mdx Processor With Up To 60% Faster Builds</title>
      <link>https://www.infoq.com/news/2026/08/astro-satteri-rust/?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/astro-satteri-rust/en/headerimage/generatedHeaderImage-1787817978309.jpg"/&gt;&lt;p&gt;Sätteri is a high-performance Markdown and MDX processor developed by the Astro team. Built in Rust, it enhances build speeds by up to 61% for Astro 7.0. Sätteri supports flexible JavaScript plugins and integrates various Markdown features natively. It maintains compatibility with the unified ecosystem while offering faster parsing and reduced dependencies.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>Front-end</category>
      <category>Web Development</category>
      <category>Rust</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 12:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/astro-satteri-rust/?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>2026-08-27T12:31:00Z</dc:date>
      <dc:identifier>/news/2026/08/astro-satteri-rust/en</dc:identifier>
    </item>
    <item>
      <title>How to Make Testing More Sustainable</title>
      <link>https://www.infoq.com/news/2026/08/making-testing-sustainable/?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/making-testing-sustainable/en/headerimage/generatedHeaderImage-1787339384932.jpg"/&gt;&lt;p&gt;By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests affected by code changes. Tracking energy use per test and using static code analysis can help spot inefficiencies and guide optimization efforts.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Testing</category>
      <category>Static Analysis</category>
      <category>Hardware</category>
      <category>Sustainable Computing</category>
      <category>Green Software</category>
      <category>Automated testing</category>
      <category>Measurement</category>
      <category>Software Testing</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 11:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/making-testing-sustainable/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-08-27T11:53:00Z</dc:date>
      <dc:identifier>/news/2026/08/making-testing-sustainable/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services</title>
      <link>https://www.infoq.com/presentations/numba/?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/numba/en/mediumimage/chad-schuster-medium-1787217755995.jpeg"/&gt;&lt;p&gt;Chad Schuster discusses bridging Python's developer velocity with C-like performance using Numba JIT and GPUs. Drawing from large-scale actuarial modeling, he explains LLVM pipeline architecture, performance gains up to 750x, and essential trade-offs like OOP limits, type inference errors, and compile-time overhead for engineering leaders scaling compute-heavy enterprise systems.&lt;/p&gt; &lt;i&gt;By Chad Schuster&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Language Design</category>
      <category>Transcripts</category>
      <category>Python</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 27 Aug 2026 09:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/numba/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Chad Schuster</dc:creator>
      <dc:date>2026-08-27T09:23:00Z</dc:date>
      <dc:identifier>/presentations/numba/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Wallets Arrives Late to x402, and the Spending Controls Stop at the Payment</title>
      <link>https://www.infoq.com/news/2026/08/agent-payment-rails-x402/?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/agent-payment-rails-x402/en/headerimage/generatedHeaderImage-1787649155466.jpg"/&gt;&lt;p&gt;Cloudflare announced Wallets, giving agents a stablecoin balance and spending controls, though only handle claiming is live and squatting complaints have already surfaced. Payments run on x402, now hosted by the Linux Foundation. The controls bound single payments, not sequences, leaving composition to the application above.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Cloudflare</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>Access Control</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 09:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/agent-payment-rails-x402/?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>2026-08-27T09:04:00Z</dc:date>
      <dc:identifier>/news/2026/08/agent-payment-rails-x402/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Specification Driven Composition for Flexible Data Workflows</title>
      <link>https://www.infoq.com/news/2026/08/aws-spec-driven-data-workflow/?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/aws-spec-driven-data-workflow/en/headerimage/generatedHeaderImage-1786944784495.jpg"/&gt;&lt;p&gt;AWS describes a specification-driven approach for composing flexible data workflows by separating intent from processing logic. Architecture uses declarative specifications, reusable processing capabilities, and validation before execution. AWS reports that the approach can reduce dataset onboarding from weeks to days while supporting traceability, versioning, data classification, and governance.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>ETL</category>
      <category>AWS Lambda</category>
      <category>Serverless</category>
      <category>OpenSearch</category>
      <category>Automation</category>
      <category>Architecture</category>
      <category>Orchestration</category>
      <category>Data Pipelines</category>
      <category>S3</category>
      <category>Declarative Programming</category>
      <category>Software Engineering</category>
      <category>Data</category>
      <category>Workflow Foundation</category>
      <category>Data Governance</category>
      <category>Amazon CloudWatch</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 26 Aug 2026 14:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aws-spec-driven-data-workflow/?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>2026-08-26T14:18:00Z</dc:date>
      <dc:identifier>/news/2026/08/aws-spec-driven-data-workflow/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Can Claude Fix Itself? Using LLMs for Incident Response</title>
      <link>https://www.infoq.com/presentations/claude-sre-incidents/?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/claude-sre-incidents/en/mediumimage/alex-palcuie-medium-1786539336984.jpg"/&gt;&lt;p&gt;Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He explains where AI acts as a superhuman for observing logs and traces, why it still struggles with causation versus correlation during root-cause analysis, and how engineering leaders can integrate AI into on-call workflows without eroding human expertise.&lt;/p&gt; &lt;i&gt;By Alex Palcuie&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Site Reliability Engineering</category>
      <category>Large language models</category>
      <category>On-call</category>
      <category>Automation</category>
      <category>Claude</category>
      <category>QCon London 2026</category>
      <category>Incident Response</category>
      <category>Observability</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 26 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/claude-sre-incidents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alex Palcuie</dc:creator>
      <dc:date>2026-08-26T11:00:00Z</dc:date>
      <dc:identifier>/presentations/claude-sre-incidents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Beyond Offset Lag: Computing Time in Queue for Apache Hudi Data Lake Pipelines at Petabyte Scale</title>
      <link>https://www.infoq.com/articles/beyond-offset-lag-kafka-apache-hudi/?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/beyond-offset-lag-kafka-apache-hudi/en/headerimage/beyond-offset-lag-kafka-apache-hudi-header-1787577734265.jpg"/&gt;&lt;p&gt;In this article, author Srikanth Mamidala discusses the data lake architecture used for analytics, reporting, and machine learning and shows how to manage the consumer lag metrics when using Kafka and Apache Hudi.&lt;/p&gt; &lt;i&gt;By Srikanth Mamidala&lt;/i&gt;</description>
      <category>Messaging</category>
      <category>Data Lake</category>
      <category>Streaming</category>
      <category>Data Pipelines</category>
      <category>Apache Kafka</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Wed, 26 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/beyond-offset-lag-kafka-apache-hudi/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Srikanth Mamidala</dc:creator>
      <dc:date>2026-08-26T09:00:00Z</dc:date>
      <dc:identifier>/articles/beyond-offset-lag-kafka-apache-hudi/en</dc:identifier>
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