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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Airbnb Shares Architecture Behind Sitar-Agent Dynamic Configuration Sidecar for Kubernetes Services</title>
      <link>https://www.infoq.com/news/2026/07/sitar-agent-sidecar-config/?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;Airbnb engineers detailed Sitar-agent, a Kubernetes sidecar for dynamic configuration delivery across tens of thousands of pods, processing updates several times per minute. The system was redesigned with Java, Amazon S3 snapshot bootstrapping, and a migration from Sparkey to SQLite to improve reliability, startup performance, and configuration availability at scale.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Platforms</category>
      <category>Java</category>
      <category>Reliability</category>
      <category>Bootstrap</category>
      <category>Cloud</category>
      <category>Sidecar</category>
      <category>Agents</category>
      <category>S3</category>
      <category>Kubernetes</category>
      <category>Ruby</category>
      <category>Edge</category>
      <category>Distributed Systems</category>
      <category>Microservices</category>
      <category>Feature Toggle</category>
      <category>SQLite</category>
      <category>Caching</category>
      <category>Configuration Management</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 08 Jul 2026 14:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/sitar-agent-sidecar-config/?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>2026-07-08T14:25:00Z</dc:date>
      <dc:identifier>/news/2026/07/sitar-agent-sidecar-config/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation</title>
      <link>https://www.infoq.com/presentations/multi-agent-ai-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/multi-agent-ai-architecture/en/mediumimage/itamar-friedman-medium-1782818996066.jpeg"/&gt;&lt;p&gt;Itamar Friedman discusses how architects and engineering leaders can break through the AI productivity ceiling using adaptive multi-agent systems. He shares insights on moving past simple autocomplete to resilient workflows by integrating autonomous testing, intelligent code review, and robust arbitration. Learn how to govern agent communication and build a context-driven SDLC that scales.&lt;/p&gt; &lt;i&gt;By Itamar Friedman&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 08 Jul 2026 14:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Itamar Friedman</dc:creator>
      <dc:date>2026-07-08T14:06:00Z</dc:date>
      <dc:identifier>/presentations/multi-agent-ai-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Switching from PostgreSQL to ClickHouse for Improved Performance and Scalability</title>
      <link>https://www.infoq.com/news/2026/07/momentic-postgres-clickhouse/?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/2026/07/momentic-postgres-clickhouse/en/headerimage/momentic-postgres-clickhouse-1783452382371.jpeg"/&gt;&lt;p&gt;Momentic, the company behind an AI-driven software testing platform, recently rearchitected its caching system to handle over 2 million queries per day across 20 billion total entries, while maintaining an average response latency of around 250 ms. This improvement was made possible by transitioning from PostgreSQL to the column-oriented database ClickHouse.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>ClickHouse</category>
      <category>Postgres</category>
      <category>Caching</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 07 Jul 2026 20:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/momentic-postgres-clickhouse/?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>2026-07-07T20:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/momentic-postgres-clickhouse/en</dc:identifier>
    </item>
    <item>
      <title>AWS Expands DevOps Agent with AI-Powered Release Management to Validate Code before Production</title>
      <link>https://www.infoq.com/news/2026/07/aws-devops-ai-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/2026/07/aws-devops-ai-agent/en/headerimage/generatedHeaderImage-1783328078228.jpg"/&gt;&lt;p&gt;Amazon Web Services (AWS) has announced a major expansion of its AWS DevOps Agent, introducing new release management capabilities designed to assess code changes and autonomously test software before it reaches production.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Release Management</category>
      <category>AWS</category>
      <category>Cloud</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 07 Jul 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/aws-devops-ai-agent/?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>2026-07-07T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/aws-devops-ai-agent/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery</title>
      <link>https://www.infoq.com/presentations/reliable-ai-platforms/?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/reliable-ai-platforms/en/mediumimage/aaron-erickson-medium-1782819611516.jpg"/&gt;&lt;p&gt;Aaron Erickson explains how NVIDIA designs and tests purpose-built AI agent hierarchies. For senior developers and architects, he outlines why balancing deterministic tools with agentic discovery is crucial. Discover how to leverage rare context, implement LLM-as-a-judge test pyramids, and avoid the paradox of choice to build highly reliable, production-grade AI systems at scale.&lt;/p&gt; &lt;i&gt;By Aaron Erickson&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Reliability</category>
      <category>Model</category>
      <category>QCon San Francisco 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 07 Jul 2026 08:03:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/reliable-ai-platforms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Aaron Erickson</dc:creator>
      <dc:date>2026-07-07T08:03:00Z</dc:date>
      <dc:identifier>/presentations/reliable-ai-platforms/en</dc:identifier>
    </item>
    <item>
      <title>How HubSpot Scaled Semantic Search to 20 Billion Vectors</title>
      <link>https://www.infoq.com/news/2026/07/hubspot-semantic-vector-search/?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/2026/07/hubspot-semantic-vector-search/en/headerimage/generatedHeaderImage-1783111896066.jpg"/&gt;&lt;p&gt;SaaS software vendor HubSpot has described how its semantic search platform grew from a proof of concept into an internal service that now manages more than 20 billion vectors across 38-plus teams. The company says the system now supports agents, RAG, and contact deduplication, and that the increase in agent usage has made retrieval quality and latency more important than before.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>vector databases</category>
      <category>Scaling</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 07 Jul 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/hubspot-semantic-vector-search/?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>2026-07-07T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/hubspot-semantic-vector-search/en</dc:identifier>
    </item>
    <item>
      <title>Node.js 26: Temporal API Enabled by Default, V8 14.6, and a Round of Deprecations</title>
      <link>https://www.infoq.com/news/2026/07/nodejs-26-temporal/?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/2026/07/nodejs-26-temporal/en/headerimage/generatedHeaderImage-1782903228392.jpg"/&gt;&lt;p&gt;Node.js 26 has been released, featuring the Temporal API enabled by default, an updated V8 engine to version 14.6, and the Undici HTTP client upgraded to 8.0. The release also removes deprecated legacy APIs. Developers should note migration points related to NODE_MODULE_VERSION changes. Node.js 26 is current for six months before entering long-term support.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Date&amp;Time</category>
      <category>Node.js</category>
      <category>Web Development</category>
      <category>JavaScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 07 Jul 2026 06:51:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/nodejs-26-temporal/?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>2026-07-07T06:51:00Z</dc:date>
      <dc:identifier>/news/2026/07/nodejs-26-temporal/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: Strict Field Initialization, GlassFish, GraalVM, JReleaser, RefactorFirst</title>
      <link>https://www.infoq.com/news/2026/07/java-news-roundup-jun29-2026/?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/2026/07/java-news-roundup-jun29-2026/en/headerimage/java-news-roundup-image-1783370367210.jpg"/&gt;&lt;p&gt;This week's Java roundup for June 29th, 2026, features news highlighting: a new JEP candidate, Strict Field Initialization; point releases of GraalVM, JReleaser, RefactorFirst and Java Operator SDK; maintenance releases of GlassFish and Micronaut; the second milestone release of Grails 8.0; and the beta release of Open Liberty 26.0.0.7.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Micronaut</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Java Operator SDK</category>
      <category>Glassfish</category>
      <category>JReleaser</category>
      <category>Java</category>
      <category>RefactorFirst</category>
      <category>Open Liberty</category>
      <category>JDK 28</category>
      <category>Grails</category>
      <category>GraalVM</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 06 Jul 2026 23:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/java-news-roundup-jun29-2026/?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>2026-07-06T23:30:00Z</dc:date>
      <dc:identifier>/news/2026/07/java-news-roundup-jun29-2026/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Cuts Cassandra Read Latency from Seconds to Milliseconds with Dynamic Partition Splitting</title>
      <link>https://www.infoq.com/news/2026/07/netflix-cassandra-partition/?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;Netflix engineers introduced dynamic partition splitting for Cassandra to address wide partitions in time series workloads. The metadata-driven approach detects oversized partitions, splits them smaller units, and routes reads across child partitions. Netflix reported lower read latency from seconds to milliseconds, reduced timeouts, and improved cluster stability while maintaining transparency.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Cassandra</category>
      <category>Partitioning</category>
      <category>Scalability</category>
      <category>Clusters</category>
      <category>Routing</category>
      <category>Low Latency</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>Metadata</category>
      <category>Time Series Data</category>
      <category>Data Partitioning</category>
      <category>Database</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 06 Jul 2026 14:24:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/netflix-cassandra-partition/?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>2026-07-06T14:24:00Z</dc:date>
      <dc:identifier>/news/2026/07/netflix-cassandra-partition/en</dc:identifier>
    </item>
    <item>
      <title>InfoQ Opens AI Security &amp; Privacy Engineering Cohort for Regulated Industries</title>
      <link>https://www.infoq.com/news/2026/07/online-cohort-ai-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/online-cohort-ai-security/en/headerimage/online-ai-security-cohort-1783334952666.jpg"/&gt;&lt;p&gt;InfoQ has opened enrollment for a five-week AI Security &amp; Privacy Engineering cohort for senior engineers and architects in regulated industries, focused on applying security, privacy, threat modeling, observability, and governance practices to production AI systems.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>AI Security</category>
      <category>Privacy</category>
      <category>InfoQ Certification Program</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 06 Jul 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/online-cohort-ai-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-07-06T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/online-cohort-ai-security/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Spite-Driven Engineering: A New Blueprint for Cloud Security in the AI Native Era</title>
      <link>https://www.infoq.com/podcasts/new-blueprint-cloud-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/new-blueprint-cloud-security/en/smallimage/the-infoq-podcast-logo-thumbnail-1782468606100.jpg"/&gt;&lt;p&gt;In this episode, Alex Zenla (CTO/Co-founder, Edera) challenges the "laissez-faire" attitude toward modern infrastructure. She promotes "spite-driven development", building software to solve genuine technical pain points rather than passively accepting flawed abstractions, as a philosophy of improving the world of software.&lt;/p&gt; &lt;i&gt;By Alex Zenla&lt;/i&gt;</description>
      <category>Infrastructure as Code</category>
      <category>The InfoQ Podcast</category>
      <category>Security</category>
      <category>Cloud-Native</category>
      <category>Linux</category>
      <category>DevOps</category>
      <category>podcast</category>
      <pubDate>Mon, 06 Jul 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/new-blueprint-cloud-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alex Zenla</dc:creator>
      <dc:date>2026-07-06T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/new-blueprint-cloud-security/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Practical Robustness: Going Beyond Memory Safety in Rust</title>
      <link>https://www.infoq.com/presentations/rust-autonomous-mobile-robots/?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/rust-autonomous-mobile-robots/en/mediumimage/andy-brinkmeyer-medium-1782817486635.jpeg"/&gt;&lt;p&gt;Andy Brinkmeyer shares how engineering leaders and architects can use Rust to build failure-proof systems. Moving beyond memory safety, he explains how ownership, enums, and the typestate pattern embed complex runtime protocols into compile-time checks. Learn to eliminate entire classes of bugs, manage real-world resources safely, and maximize codebase robustness effortlessly.&lt;/p&gt; &lt;i&gt;By Andy Brinkmeyer&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Rust</category>
      <category>Reliability</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 06 Jul 2026 09:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rust-autonomous-mobile-robots/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Andy Brinkmeyer</dc:creator>
      <dc:date>2026-07-06T09:01:00Z</dc:date>
      <dc:identifier>/presentations/rust-autonomous-mobile-robots/en</dc:identifier>
    </item>
    <item>
      <title>AI Model Context Protocol Adds Centralised Auth for Enterprise</title>
      <link>https://www.infoq.com/news/2026/07/mcp-ema-enterprise-auth/?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/2026/07/mcp-ema-enterprise-auth/en/headerimage/generatedHeaderImage-1783110653080.jpg"/&gt;&lt;p&gt;The Model Context Protocol team has promoted its Enterprise-Managed Authorisation extension to stable status, adding a centralised way for organisations to control access to MCP servers through their identity provider. The project states the aim is to replace per-server consent prompts with a zero-touch flow in which users sign in once and then access approved servers without further setup.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Authentication</category>
      <category>Enterprise</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 06 Jul 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/mcp-ema-enterprise-auth/?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>2026-07-06T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/mcp-ema-enterprise-auth/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare and AWS Embed x402 Agent Payments at the Edge</title>
      <link>https://www.infoq.com/news/2026/07/cloudflare-aws-x402-micropayment/?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/2026/07/cloudflare-aws-x402-micropayment/en/headerimage/generatedHeaderImage-1782998184480.jpg"/&gt;&lt;p&gt;Cloudflare and AWS both implemented x402 stablecoin micropayments at their edge networks within two weeks. The open protocol under the Linux Foundation revives HTTP 402 for agent-to-service payments with sub-cent transaction costs. Coinbase reports 169 million transactions in year one. Enterprise tax and invoicing gaps remain unresolved.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Cloudflare</category>
      <category>Cloud Architecture</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 06 Jul 2026 06:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cloudflare-aws-x402-micropayment/?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>2026-07-06T06:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/cloudflare-aws-x402-micropayment/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Amazon S3 Annotations</title>
      <link>https://www.infoq.com/news/2026/07/aws-s3-annotations/?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/2026/07/aws-s3-annotations/en/headerimage/generatedHeaderImage-1782327927331.jpg"/&gt;&lt;p&gt;AWS recently announced Amazon S3 Annotations, a feature that lets teams attach rich, searchable context such as summaries, classifications, compliance data, or AI-generated insights directly to S3 objects. Annotations can be updated independently of the object and queried across datasets, reducing the need for separate metadata systems.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Data Management</category>
      <category>S3</category>
      <category>Cloud Computing</category>
      <category>Apache Iceberg</category>
      <category>AWS</category>
      <category>Metadata</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 05 Jul 2026 08:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/aws-s3-annotations/?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>2026-07-05T08:55:00Z</dc:date>
      <dc:identifier>/news/2026/07/aws-s3-annotations/en</dc:identifier>
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