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    <title>InfoQ - Development - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Development News feed</description>
    <item>
      <title>Google Optimizes Agent Development Kit's 200K-line Python Codebase Overnight with Gemini 4 Argon</title>
      <link>https://www.infoq.com/news/2026/10/google-argon-optimizes-adk/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/google-argon-optimizes-adk/en/headerimage/functiongemma-1792855681633.jpeg"/&gt;&lt;p&gt;Google explained how an 11-hour unattended run of Gemini 4 Argon produced two accepted optimizations for Google Agent Development Kit's codebase, reducing in-memory session-preparation overhead by about 40% in long sessions and cold package import time by 21%.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>AI coding agents</category>
      <category>Large language models</category>
      <category>Python</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 24 Oct 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/google-argon-optimizes-adk/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-24T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/google-argon-optimizes-adk/en</dc:identifier>
    </item>
    <item>
      <title>Google’s Data Agent Kit Hits GA, Splitting Agent Guardrails Between Skills and IAM</title>
      <link>https://www.infoq.com/news/2026/10/data-agent-kit-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Google has made Data Agent Kit generally available, a free set of MCP tools and 37 open-source skills that connect coding agents to more than fifteen Google Data Cloud services. Two kinds of guardrail ship with it, and practitioners need to tell them apart: one is a skill asking the agent to stop, the other an IAM deny policy that refuses the call.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Database</category>
      <category>Cloud</category>
      <category>Google Cloud</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 24 Oct 2026 08:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/data-agent-kit-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-24T08:34:00Z</dc:date>
      <dc:identifier>/news/2026/10/data-agent-kit-ga/en</dc:identifier>
    </item>
    <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=Development-news</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=Development-news</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=Development-news</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=Development-news</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=Development-news</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=Development-news</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>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=Development-news</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=Development-news</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=Development-news</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=Development-news</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>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=Development-news</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=Development-news</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>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=Development-news</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=Development-news</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>Netflix Bridges AWS IAM and Internal Identity with Workload Attestation</title>
      <link>https://www.infoq.com/news/2026/10/netflix-workload-attestation-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Netflix has developed a workload attestation mechanism for Apache Spark jobs running on Amazon EMR. The design combines AWS IAM identity with signed claims from Netflix’s control plane before issuing short-lived internal X.509 certificates, allowing managed compute workloads to authenticate to internal services without directly injecting credentials.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Amazon</category>
      <category>Netflix</category>
      <category>MapReduce</category>
      <category>Service Identification</category>
      <category>AWS</category>
      <category>Identity Management</category>
      <category>Security</category>
      <category>Authentication</category>
      <category>Distributed Systems</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 21 Oct 2026 13:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/netflix-workload-attestation-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-21T13:45:00Z</dc:date>
      <dc:identifier>/news/2026/10/netflix-workload-attestation-aws/en</dc:identifier>
    </item>
    <item>
      <title>Google SynthID Detector Simplifies Watermark Detection and Expands Support to Other AI Providers</title>
      <link>https://www.infoq.com/news/2026/10/synthid-watermarking-detector/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/synthid-watermarking-detector/en/headerimage/cyberark-model-security-1792576150415.jpeg"/&gt;&lt;p&gt;Google DeepMind announced the global availability of SynthID Detector, a tool designed to help identify AI-generated content, including media created using AI tools from SynthID partners such as OpenAI, NVIDIA, and Kakao, with Apple support expected soon.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Microsoft</category>
      <category>OpenAI</category>
      <category>Facebook</category>
      <category>Metadata</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 21 Oct 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/synthid-watermarking-detector/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-21T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/synthid-watermarking-detector/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Previews dotnetup: Toolchain Manager for .NET SDKs and Runtimes</title>
      <link>https://www.infoq.com/news/2026/10/dotnetup-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Microsoft has released a public preview of dotnetup, a cross-platform toolchain manager that installs and updates .NET SDKs and runtimes in the user’s own directory without admin rights. It tracks channels such as latest, lts, preview, and daily, reads global.json, and removes unused installs. Commands may still change before general availability.&lt;/p&gt; &lt;i&gt;By Almir Vuk&lt;/i&gt;</description>
      <category>.NET</category>
      <category>.NET 9</category>
      <category>.NET 10</category>
      <category>.NET Core</category>
      <category>.NET 11</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 21 Oct 2026 08:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/dotnetup-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Almir Vuk</dc:creator>
      <dc:date>2026-10-21T08:15:00Z</dc:date>
      <dc:identifier>/news/2026/10/dotnetup-preview/en</dc:identifier>
    </item>
    <item>
      <title>TornadoVM 7 Enables GPU-Native Workloads from Java Applications</title>
      <link>https://www.infoq.com/news/2026/10/tornadovm-7-gpu/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;TornadoVM, an open-source heterogeneous programming framework for Java, has reached version 7.0. It automatically accelerates Java programs on multi-core CPUs and GPUs and provides a rich GPU programming ecosystem in Java that can be used with any mainstream JDK distribution e.g. Temurin, Red Hat OpenJDK, Coretto, Oracle, GraalVM or Zulu.&lt;/p&gt; &lt;i&gt;By Ben Evans&lt;/i&gt;</description>
      <category>Llama3</category>
      <category>Java</category>
      <category>GPU</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 21 Oct 2026 03:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/tornadovm-7-gpu/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Ben Evans</dc:creator>
      <dc:date>2026-10-21T03:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/tornadovm-7-gpu/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: JEPs for JDK 28, Azul Payara, Gatherers4j, Google ADK, Yupiik, Apache Camel CVEs</title>
      <link>https://www.infoq.com/news/2026/10/java-news-roundup-oct12-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/java-news-roundup-oct12-2026/en/headerimage/java-news-roundup-image-1792439632913.jpg"/&gt;&lt;p&gt;This week's Java roundup for October 12th, 2026, features news highlighting: three OpenJDK JEPs targeted for JDK 28; the October 2026 edition of Azul Payara; point releases of Gatherers4j, Yupiik Fusion, Google ADK for Java and Google ADK for Kotlin; and 38 CVEs resolved in Apache Camel.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Azul Payara</category>
      <category>Google ADK for Kotlin</category>
      <category>JDK 28</category>
      <category>Java</category>
      <category>Apache Camel</category>
      <category>Google ADK for Java</category>
      <category>Open JDK</category>
      <category>Yupiik</category>
      <category>Gatherers4j</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 19 Oct 2026 20:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/java-news-roundup-oct12-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-10-19T20:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/java-news-roundup-oct12-2026/en</dc:identifier>
    </item>
    <item>
      <title>Pinterest Uses Event Time Watermarks to Finalize Petabyte Scale Data Partitions</title>
      <link>https://www.infoq.com/news/2026/10/pinterest-event-time-partition/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/pinterest-event-time-partition/en/headerimage/generatedHeaderImage-1791063877867.jpg"/&gt;&lt;p&gt;Pinterest has introduced event time-based partition finalization for its database ingestion framework. The mechanism uses Apache Flink to track event time and Apache Iceberg metadata to publish a non-regressing watermark, helping downstream jobs determine when continuously ingested CDC data is sufficiently complete for processing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Change Data Capture</category>
      <category>Apache Kafka</category>
      <category>Data Partitioning</category>
      <category>Partitioning</category>
      <category>Data Lake</category>
      <category>Event Driven Architecture</category>
      <category>Apache Spark</category>
      <category>Streaming</category>
      <category>Apache Iceberg</category>
      <category>Apache Flink</category>
      <category>Distributed Systems</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 19 Oct 2026 14:37:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-19T14:37:00Z</dc:date>
      <dc:identifier>/news/2026/10/pinterest-event-time-partition/en</dc:identifier>
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