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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>DuckLake 1.0: Data Lake Format with SQL Catalog Metadata</title>
      <link>https://www.infoq.com/news/2026/05/ducklake-sql-catalog/?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/2026/05/ducklake-sql-catalog/en/headerimage/generatedHeaderImage-1776423164012.jpg"/&gt;&lt;p&gt;DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than across many files in object storage. The first implementation is available as a DuckDB extension and includes catalog-stored small updates, improved sorting and partitioning options, and compatibility with Iceberg-style data features.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Apache Iceberg</category>
      <category>Data Partitioning</category>
      <category>Data Lake</category>
      <category>duckdb</category>
      <category>SQL</category>
      <category>Data Storage</category>
      <category>Data Catalog</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 02 May 2026 06:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/ducklake-sql-catalog/?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>2026-05-02T06:48:00Z</dc:date>
      <dc:identifier>/news/2026/05/ducklake-sql-catalog/en</dc:identifier>
    </item>
    <item>
      <title>JobRunr Introduces ClawRunr, an Open-Source Java AI Agent</title>
      <link>https://www.infoq.com/news/2026/05/clawrunr/?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/2026/05/clawrunr/en/headerimage/generatedHeaderImage-1777644148544.jpg"/&gt;&lt;p&gt;JobRunr has introduced ClawRunr, an open-source Java AI agent for scheduled, recurring, and one-off background tasks. Formerly JavaClaw, it runs on users' hardware and combines conversational interaction with persistent task execution, MCP tools, browser automation, and web, Telegram, and Discord channels, while using JobRunr for scheduling, retries, and monitoring.&lt;/p&gt; &lt;i&gt;By Diogo Carleto&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Java</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 01 May 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/clawrunr/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Diogo Carleto</dc:creator>
      <dc:date>2026-05-01T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/clawrunr/en</dc:identifier>
    </item>
    <item>
      <title>Confluent Moves Schema IDs to Kafka Headers to Simplify Schema Governance</title>
      <link>https://www.infoq.com/news/2026/05/confluent-kafka-header-schema-id/?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/2026/05/confluent-kafka-header-schema-id/en/headerimage/generatedHeaderImage-1776736992912.jpg"/&gt;&lt;p&gt;Confluent introduces a new approach in Apache Kafka that moves schema IDs from message payloads to record headers, aiming to simplify schema governance and evolution. The update integrates with Schema Registry, improves compatibility across serialization formats, and reduces coupling between data and metadata in event-driven architectures.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Protocol Buffers</category>
      <category>Event Stream Processing</category>
      <category>Schema</category>
      <category>Avro</category>
      <category>Data Pipelines</category>
      <category>Data Analytics</category>
      <category>Apache Flink</category>
      <category>Streaming</category>
      <category>JSON</category>
      <category>Apache Kafka</category>
      <category>Machine Learning</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 01 May 2026 14:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/confluent-kafka-header-schema-id/?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>2026-05-01T14:06:00Z</dc:date>
      <dc:identifier>/news/2026/05/confluent-kafka-header-schema-id/en</dc:identifier>
    </item>
    <item>
      <title>Meta Deploys Unified AI Agents to Automate Performance Optimization at Hyperscale</title>
      <link>https://www.infoq.com/news/2026/05/meta-ai-agents-hyperscale/?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/2026/05/meta-ai-agents-hyperscale/en/headerimage/generatedHeaderImage-1777275523688.jpg"/&gt;&lt;p&gt;Meta has unveiled a new AI-driven capacity efficiency platform that uses unified AI agents to automatically detect and resolve performance issues across its global infrastructure, marking a significant step toward self-optimizing systems at hyperscale.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Scaling</category>
      <category>Agents</category>
      <category>Performance &amp; Scalability</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 01 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/meta-ai-agents-hyperscale/?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>2026-05-01T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/meta-ai-agents-hyperscale/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Next Generation of AI Products</title>
      <link>https://www.infoq.com/presentations/ai-products/?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/ai-products/en/mediumimage/hilary-mason-medium-1776947360498.jpeg"/&gt;&lt;p&gt;Hilary Mason shares her journey from academia to building AI products at scale.  She discusses the shift from discrete engineering to probabilistic mindsets, explaining why managing "human considerations" is the hardest part of the stack.  She explains the "existential crisis" for engineers, arguing that great architecture today is about context management, systems thinking, and good taste.&lt;/p&gt; &lt;i&gt;By Hilary Mason&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Innovation</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 01 May 2026 09:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-products/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Hilary Mason</dc:creator>
      <dc:date>2026-05-01T09:23:00Z</dc:date>
      <dc:identifier>/presentations/ai-products/en</dc:identifier>
    </item>
    <item>
      <title>Vitest 4.1: Test Tags, Native Node.js Execution and AI Agent Reporter</title>
      <link>https://www.infoq.com/news/2026/05/vitest-4-1-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/news/2026/05/vitest-4-1-ai-agents/en/headerimage/generatedHeaderImage-1777557935260.jpg"/&gt;&lt;p&gt;Vitest 4.1, developed by VoidZero, enhances JavaScript testing with features like test tags for filtering and configuring tests, an experimental mode to bypass Vite's module runner, and new lifecycle hooks. It supports Vite 8 from the start. Notably, it reports improvements in performance compared to Jest. The release addresses issues and provides guides for migration.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Node.js</category>
      <category>Test Automation</category>
      <category>Testing</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 01 May 2026 09:03:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/vitest-4-1-ai-agents/?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>2026-05-01T09:03:00Z</dc:date>
      <dc:identifier>/news/2026/05/vitest-4-1-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Securing Autonomous AI Agents on Kubernetes: Trust Boundaries, Secrets, and Observability for a New Category of Cloud Workload</title>
      <link>https://www.infoq.com/articles/securing-autonomous-ai-agents-kubernetes/?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/securing-autonomous-ai-agents-kubernetes/en/headerimage/securing-autonomous-ai-agents-kubernetes-header-1777378848477.jpg"/&gt;&lt;p&gt;Autonomous AI agents break Kubernetes security assumptions with dynamic dependencies, multi-domain credentials, and unpredictable resource use. This article covers production-tested patterns: Job-based isolation, Vault for scoped short-lived credentials, a four-phase trust model from shadow mode to autonomous operation, and observability for non-deterministic reasoning cycles.&lt;/p&gt; &lt;i&gt;By Nik Kale&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Agents</category>
      <category>Cloud</category>
      <category>Observability</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Fri, 01 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/securing-autonomous-ai-agents-kubernetes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Nik Kale</dc:creator>
      <dc:date>2026-05-01T09:00:00Z</dc:date>
      <dc:identifier>/articles/securing-autonomous-ai-agents-kubernetes/en</dc:identifier>
    </item>
    <item>
      <title>Broadcom Donates Velero to CNCF, Shifting Kubernetes Backup to Community Governance</title>
      <link>https://www.infoq.com/news/2026/05/broadcom-velero-cncf/?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/2026/05/broadcom-velero-cncf/en/headerimage/generatedHeaderImage-1777157417934.jpg"/&gt;&lt;p&gt;Broadcom has announced the contribution of Velero, its Kubernetes-native backup, restore and migration project, to the Cloud Native Computing Foundation (CNCF) as a Sandbox project. Velero It operates at the Kubernetes API layer, capturing cluster state through Custom Resource Definitions (CRDs) rather than through hypervisor or storage-layer snapshots.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Backup</category>
      <category>Kubernetes</category>
      <category>Cloud Native Computing Foundation</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 01 May 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/broadcom-velero-cncf/?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>2026-05-01T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/broadcom-velero-cncf/en</dc:identifier>
    </item>
    <item>
      <title>NVIDIA Launches Ising Open Models for Quantum Computing</title>
      <link>https://www.infoq.com/news/2026/04/nvidia-ising-quantum/?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/2026/04/nvidia-ising-quantum/en/headerimage/generatedHeaderImage-1777556888537.jpg"/&gt;&lt;p&gt;NVIDIA has announced a new family of open models called NVIDIA Ising, designed to address quantum processor calibration and quantum error correction. These are two of the main engineering challenges limiting the scalability of current quantum systems, where noise and instability in qubits reduce the reliability of computations.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Quantum Computing</category>
      <category>Hardware</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 20:44:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/nvidia-ising-quantum/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-04-30T20:44:00Z</dc:date>
      <dc:identifier>/news/2026/04/nvidia-ising-quantum/en</dc:identifier>
    </item>
    <item>
      <title>NestJS v12 Roadmap: Full ESM Migration, Standard Schema Validation and Modernised Toolchain</title>
      <link>https://www.infoq.com/news/2026/04/nestjs-12-roadmap-esm/?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/2026/04/nestjs-12-roadmap-esm/en/headerimage/generatedHeaderImage-1777478248947.jpg"/&gt;&lt;p&gt;NestJS has announced a draft pull request for its upcoming v12.0.0 release, scheduled for early Q3 2026. Key changes include a transition from CommonJS to ESM, native Standard Schema support in route decorators, and shifts in testing and linting tools. Vitest will replace Jest, and oxlint will replace ESLint, while Rspack will replace Webpack for bundling.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Node.js</category>
      <category>Validation</category>
      <category>Bundlor</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/nestjs-12-roadmap-esm/?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>2026-04-30T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/nestjs-12-roadmap-esm/en</dc:identifier>
    </item>
    <item>
      <title>Driving and Measuring the Impact of Platform Engineering</title>
      <link>https://www.infoq.com/news/2026/04/measure-platform-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/measure-platform-engineering/en/headerimage/measure-platform-engineering-header-1776687178658.jpg"/&gt;&lt;p&gt;Platform engineering has to be approached from a socio-technical perspective, and shaped by all stakeholders, not just developers, Sergiu Petean said in his talk Driving the Future of Insurance through Platform Engineering. Platform success depends on written principles that endure change while embracing change as the main design force, to enable teams to build, run, and release software.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Metrics</category>
      <category>InfoQ Dev Summit</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Stakeholder</category>
      <category>Platform Engineering</category>
      <category>Release Management</category>
      <category>Measurement</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 11:22:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/measure-platform-engineering/?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>2026-04-30T11:22:00Z</dc:date>
      <dc:identifier>/news/2026/04/measure-platform-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Announces Agent Memory, a Managed Persistent Memory Service for AI Agents</title>
      <link>https://www.infoq.com/news/2026/04/cloudflare-agent-memory-beta/?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/2026/04/cloudflare-agent-memory-beta/en/headerimage/generatedHeaderImage-1777209282399.jpg"/&gt;&lt;p&gt;Cloudflare announced Agent Memory in private beta, a managed service that extracts structured memories from AI agent conversations and retrieves them on demand using five-channel parallel retrieval with Reciprocal Rank Fusion. Shared memory profiles let teams of agents access common knowledge. Competitors include Mem0, Zep, LangMem, and Letta.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Memory</category>
      <category>Agents</category>
      <category>Cloudflare</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Cloud</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 10:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cloudflare-agent-memory-beta/?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>2026-04-30T10:10:00Z</dc:date>
      <dc:identifier>/news/2026/04/cloudflare-agent-memory-beta/en</dc:identifier>
    </item>
    <item>
      <title>Meta's Approach to Migrating their Systems to Post-Quantum Cryptography</title>
      <link>https://www.infoq.com/news/2026/04/meta-quantum-crypto-migration/?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/2026/04/meta-quantum-crypto-migration/en/headerimage/meta-post-quantum-migration-1777540275642.jpeg"/&gt;&lt;p&gt;Meta has already begun preparing for the threats posed by quantum computing and migrating its systems to post-quantum cryptography, a complex process that will take multiple years to complete. In a recent article, Meta researchers outline their strategy and share key lessons learned along the way.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Cryptography</category>
      <category>Quantum Computing</category>
      <category>Application Security</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/meta-quantum-crypto-migration/?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>2026-04-30T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/meta-quantum-crypto-migration/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Stripe’s Docdb: How Zero-Downtime Data Movement Powers Trillion-Dollar Payment Processing</title>
      <link>https://www.infoq.com/presentations/docdb-online-database/?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/docdb-online-database/en/mediumimage/jimmy-morzaria-medium-1776864724742.jpeg"/&gt;&lt;p&gt;Jimmy Morzaria discusses the evolution of Stripe’s database tier to support 5 million QPS with 5.5 nines of reliability. He explains the architecture of DocDB and shares how Stripe leverages a custom zero-downtime data movement platform to perform horizontal sharding, version upgrades, and multi-tenant migrations - all while maintaining the strict consistency required for global commerce.&lt;/p&gt; &lt;i&gt;By Jimmy Morzaria&lt;/i&gt;</description>
      <category>Database</category>
      <category>QCon San Francisco 2025</category>
      <category>migration</category>
      <category>MongoDB</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 30 Apr 2026 09:52:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/docdb-online-database/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Jimmy Morzaria</dc:creator>
      <dc:date>2026-04-30T09:52:00Z</dc:date>
      <dc:identifier>/presentations/docdb-online-database/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Redesigns Compaction to Reclaim Space from Underfilled Storage Volumes</title>
      <link>https://www.infoq.com/news/2026/04/dropbox-tiered-compaction/?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/2026/04/dropbox-tiered-compaction/en/headerimage/generatedHeaderImage-1776799745799.jpg"/&gt;&lt;p&gt;Dropbox recently explained how it improved storage efficiency in Magic Pocket, the company's internal immutable blob store for storing user files at scale, by redesigning compaction strategies to reclaim space from severely underfilled storage volumes. The system now periodically reorganizes valid data into new volumes, allowing old, partially used ones to be cleared and reused.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Distributed Data</category>
      <category>Data Storage</category>
      <category>Storage</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 09:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/dropbox-tiered-compaction/?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>2026-04-30T09:23:00Z</dc:date>
      <dc:identifier>/news/2026/04/dropbox-tiered-compaction/en</dc:identifier>
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