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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>SwiftUI Adds New Document Protocol, Improves Performance, and More</title>
      <link>https://www.infoq.com/news/2026/07/swiftui-wwdc26/?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/swiftui-wwdc26/en/headerimage/swiftui-wwdc26-1783007395426.jpeg"/&gt;&lt;p&gt;Announced at WWDC 2026, the latest SwiftUI release brings a new Document protocol for efficient disk access and snapshot-based updates, along with improved APIs for reordering items in lists, grids, and sections. In addition, it expands presentation features, such as swipe actions on any view, better AsyncImage caching, and lazy state initialization for Observable types to boost performance.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>GUI</category>
      <category>SwiftUI</category>
      <category>Apple</category>
      <category>iOS</category>
      <category>visionOS</category>
      <category>MacOS</category>
      <category>Swift</category>
      <category>watchOS</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 02 Jul 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/swiftui-wwdc26/?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>2026-07-02T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/swiftui-wwdc26/en</dc:identifier>
    </item>
    <item>
      <title>Shifting Platform Development from Projects to Products</title>
      <link>https://www.infoq.com/news/2026/07/platform-projects-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/news/2026/07/platform-projects-products/en/headerimage/platform-projects-products-header-1782131812023.jpg"/&gt;&lt;p&gt;A company shifted from project- to product-thinking after their platform outgrew single-team use. The limitations that they felt with their platform were one-off deliveries, lack of product vision, and weak feedback loops. They have moved toward a self-service, API-driven, multi-tenant infrastructure with clearer ownership and better abstractions.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Feedback</category>
      <category>Platforms</category>
      <category>Project Management</category>
      <category>Platform Engineering</category>
      <category>API</category>
      <category>Infrastructure</category>
      <category>Products</category>
      <category>Collaboration</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 02 Jul 2026 11:27:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/platform-projects-products/?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>2026-07-02T11:27:00Z</dc:date>
      <dc:identifier>/news/2026/07/platform-projects-products/en</dc:identifier>
    </item>
    <item>
      <title>Apple Extends Private Cloud Compute to Google Cloud for the First Time</title>
      <link>https://www.infoq.com/news/2026/07/apple-pcc-google-cloud/?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/apple-pcc-google-cloud/en/headerimage/generatedHeaderImage-1782391520410.jpg"/&gt;&lt;p&gt;Apple chose Google Cloud to run Private Cloud Compute outside its own data centers for the first time, using NVIDIA Blackwell GPUs, Intel TDX, and Google's Titan chip. Apple maintains an independent append-only hardware ledger and dual-vendor attestation roots. AWS and Azure are not part of the collaboration.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Data Privacy</category>
      <category>Apple</category>
      <category>Google Cloud Platform</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>Thu, 02 Jul 2026 10:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/apple-pcc-google-cloud/?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>2026-07-02T10:04:00Z</dc:date>
      <dc:identifier>/news/2026/07/apple-pcc-google-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Enhancing Reliability Using Service-Level Prioritized Load Shedding at Netflix</title>
      <link>https://www.infoq.com/presentations/service-level-prioritized-load-shedding/?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/service-level-prioritized-load-shedding/en/mediumimage/medium-1782221254342.jpg"/&gt;&lt;p&gt;The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized load shedding embedded in their Envoy sidecar proxy, allowing user-initiated requests to steal capacity from non-critical traffic. They share automated platform strategies for continuous chaos load testing, config generation, and retry storm mitigation.&lt;/p&gt; &lt;i&gt;By Anirudh Mendiratta, Benjamin Fedorka&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>Resilience</category>
      <category>QCon San Francisco 2025</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 02 Jul 2026 09:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/service-level-prioritized-load-shedding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Anirudh Mendiratta, Benjamin Fedorka</dc:creator>
      <dc:date>2026-07-02T09:20:00Z</dc:date>
      <dc:identifier>/presentations/service-level-prioritized-load-shedding/en</dc:identifier>
    </item>
    <item>
      <title>Instacart Scales Personalized Marketing via Configuration-Driven Multi-Tenant Platform</title>
      <link>https://www.infoq.com/news/2026/07/instacart-multi-tenant-marketing/?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;Instacart redesigned its personalized marketing system using a configuration-driven multi-tenant architecture on Storefront Pro. The system replaces retailer-specific implementations with a shared execution engine, enabling scalable personalization, faster configuration propagation in under a minute, and 99.9% delivery success across hundreds of retail banners through a unified campaign platform.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>SMS</category>
      <category>Marketing</category>
      <category>Event Driven Architecture</category>
      <category>Multi-tenancy</category>
      <category>Observability</category>
      <category>Configuration Management Tools</category>
      <category>Distributed Systems</category>
      <category>Multi-Tenant Data</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 01 Jul 2026 14:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/instacart-multi-tenant-marketing/?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>2026-07-01T14:05:00Z</dc:date>
      <dc:identifier>/news/2026/07/instacart-multi-tenant-marketing/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs</title>
      <link>https://www.infoq.com/presentations/graph-rag-llm/?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/graph-rag-llm/en/mediumimage/CassieShum-medium-1782291352027.jpeg"/&gt;&lt;p&gt;Cassie Shum discusses the architectural evolution of GraphRAG and why data foundations are critical for advanced AI workflows. She explains how traditional vector RAG falls short when addressing global context, multi-hop reasoning, and provenance. She shares enterprise strategies for building semantically structured knowledge graphs that shift raw orchestrating logic down to the data layer.&lt;/p&gt; &lt;i&gt;By Cassie Shum&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 01 Jul 2026 14:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/graph-rag-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Cassie Shum</dc:creator>
      <dc:date>2026-07-01T14:01:00Z</dc:date>
      <dc:identifier>/presentations/graph-rag-llm/en</dc:identifier>
    </item>
    <item>
      <title>HeroUI v3 Lands as a Ground-Up Rewrite for React and React Native, Built on Tailwind CSS v4</title>
      <link>https://www.infoq.com/news/2026/07/heroui-v3-rewrite/?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/heroui-v3-rewrite/en/headerimage/generatedHeaderImage-1782890990794.jpg"/&gt;&lt;p&gt;HeroUI v3 is a redesigned React component library, previously NextUI, offering over 75 components, including 21 new ones, and a new React Native library with 37 components. Built on React Aria and Tailwind CSS v4, it emphasizes accessibility and customization. The library has experienced many updates since its release, and migration from the previous version is necessary.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Web Components</category>
      <category>React</category>
      <category>React Native</category>
      <category>CSS</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 01 Jul 2026 12:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/heroui-v3-rewrite/?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>2026-07-01T12:16:00Z</dc:date>
      <dc:identifier>/news/2026/07/heroui-v3-rewrite/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Infrastructure Challenge Behind Production AI</title>
      <link>https://www.infoq.com/presentations/ai-infrastructure-scaling-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/ai-infrastructure-scaling-architecture/en/mediumimage/infoq-live-medium-1782888285223.jpg"/&gt;&lt;p&gt;The panelists explain the realities of running AI systems reliably at scale. While building models is solved, maintaining production databases under constant pressure is not. They discuss the emerging architectural decisions separating teams that scale gracefully from those facing catastrophic outages, and what engineering leaders must rethink today.&lt;/p&gt; &lt;i&gt;By Simerus Mahesh, Alex Infanzon, Meryem Arik, Luca Bianchi, Renato Losio&lt;/i&gt;</description>
      <category>MLOps</category>
      <category>Scalability</category>
      <category>Transcripts</category>
      <category>InfoQ Live - June 2026</category>
      <category>Virtual Panel</category>
      <category>Infrastructure</category>
      <category>InfoQ Live</category>
      <category>Virtual Events</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 01 Jul 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-infrastructure-scaling-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Simerus Mahesh, Alex Infanzon, Meryem Arik, Luca Bianchi, Renato Losio</dc:creator>
      <dc:date>2026-07-01T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-infrastructure-scaling-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Trustworthy Productivity: Securing AI-Accelerated Development</title>
      <link>https://www.infoq.com/presentations/ai-development/?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-development/en/mediumimage/SriramMadapusiVasudevan-medium-1782220895596.jpg"/&gt;&lt;p&gt;Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct loop across context, reasoning, and tool execution. He shares how to mitigate risks like memory poisoning and rogue tool execution using defense-in-depth strategies, LLM-as-a-judge critics, and MAESTRO threat modeling.&lt;/p&gt; &lt;i&gt;By Sriram Madapusi Vasudevan&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Developer Experience</category>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 30 Jun 2026 14:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sriram Madapusi Vasudevan</dc:creator>
      <dc:date>2026-06-30T14:35:00Z</dc:date>
      <dc:identifier>/presentations/ai-development/en</dc:identifier>
    </item>
    <item>
      <title>Elastic Open-Sources Atlas Agent Memory Based on Cognitive Science</title>
      <link>https://www.infoq.com/news/2026/06/elastic-atlas-agent-memory/?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/2026/06/elastic-atlas-agent-memory/en/headerimage/generatedHeaderImage-1782569563186.jpg"/&gt;&lt;p&gt;Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for agents. Atlas integrates with agents via MCP and maintains per-user isolation of memories. When evaluated on question-answering capability, it scored 0.89 Recall@10.&lt;/p&gt; &lt;i&gt;By Anthony Alford&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Model Context Protocol (MCP)</category>
      <category>ElasticSearch</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 30 Jun 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/elastic-atlas-agent-memory/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Anthony Alford</dc:creator>
      <dc:date>2026-06-30T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/elastic-atlas-agent-memory/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Brings AI-Powered Vulnerability Remediation to Azure DevOps with Copilot Autofix</title>
      <link>https://www.infoq.com/news/2026/06/azuredevops-copilot-autofix/?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/2026/06/azuredevops-copilot-autofix/en/headerimage/generatedHeaderImage-1782552787591.jpg"/&gt;&lt;p&gt;Microsoft has announced the limited public preview of Copilot Autofix for GitHub Advanced Security for Azure DevOps, extending AI-powered vulnerability remediation to teams using Azure Repos.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>github</category>
      <category>Artificial Intelligence</category>
      <category>Microsoft Azure</category>
      <category>copilot</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 30 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/azuredevops-copilot-autofix/?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>2026-06-30T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/azuredevops-copilot-autofix/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Lambda MicroVMs for Isolated Agent and User Code Execution</title>
      <link>https://www.infoq.com/news/2026/06/aws-lambda-microvms/?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/2026/06/aws-lambda-microvms/en/headerimage/generatedHeaderImage-1782380968528.jpg"/&gt;&lt;p&gt;AWS launched Lambda MicroVMs, a new serverless compute primitive that runs each user session or AI agent in its own Firecracker virtual machine with hardware-level isolation, snapshot-based rapid launch, and state preservation for up to eight hours. Reddit community analysis found the minimum setup costs $3.03/day, roughly 9x Fargate spot pricing.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AWS</category>
      <category>AWS Lambda</category>
      <category>Cloud Architecture</category>
      <category>Containers</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 30 Jun 2026 09:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-lambda-microvms/?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>2026-06-30T09:09:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-lambda-microvms/en</dc:identifier>
    </item>
    <item>
      <title>Article: Scaling Java-Based Real-Time Systems: The Hidden Tradeoffs of Event-Driven Design</title>
      <link>https://www.infoq.com/articles/tradeoffs-event-driven-design/?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/tradeoffs-event-driven-design/en/headerimage/tradeoffs-event-driven-design-header-1782458803116.jpg"/&gt;&lt;p&gt;Event-driven architecture promises scalability, but in Java-based real-time systems the tradeoffs only surface in production. Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, this article details where the design breaks down—state management, partition limits, deduplication, JVM tuning, cascading consumer failures—and the Redis-backed patterns that fixed each.&lt;/p&gt; &lt;i&gt;By Sagar Deepak Joshi&lt;/i&gt;</description>
      <category>Apache Kafka</category>
      <category>Java</category>
      <category>Spring Boot</category>
      <category>Redis</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Tue, 30 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/tradeoffs-event-driven-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sagar Deepak Joshi</dc:creator>
      <dc:date>2026-06-30T09:00:00Z</dc:date>
      <dc:identifier>/articles/tradeoffs-event-driven-design/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: Hardwood 1.0, Endive 1.0, Azul Payara, Quarkus, WildFly, LangChain4j, OSSI</title>
      <link>https://www.infoq.com/news/2026/06/java-news-roundup-jun22-2026/?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/2026/06/java-news-roundup-jun22-2026/en/headerimage/java-news-roundup-image-1782763644221.jpg"/&gt;&lt;p&gt;This week's Java roundup for June 22nd, 2026, features news highlighting: the GA releases of Hardwood 1.0 and Endive 1.0; the June 2026 edition of Azul Payara; point releases of Quarkus, LangChain4j; the first beta release of WildFly 41; and introducing Eliya JDK and the Open Source Sustainability Initiative (OSSI), the latter of which was founded by HeroDevs and Commonhaus Foundation.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>LangChain</category>
      <category>Hardwood</category>
      <category>Azul Payara</category>
      <category>JDK 27</category>
      <category>Quarkus</category>
      <category>Eliya JDK</category>
      <category>Java</category>
      <category>Open Source Sustainability Initiative</category>
      <category>JBoss WildFly</category>
      <category>JDK 28</category>
      <category>Endive</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 23:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/java-news-roundup-jun22-2026/?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>2026-06-29T23:30:00Z</dc:date>
      <dc:identifier>/news/2026/06/java-news-roundup-jun22-2026/en</dc:identifier>
    </item>
    <item>
      <title>Eliya 25 Brings a JVM-Level Diagnostic Profile to OpenJDK 25 LTS</title>
      <link>https://www.infoq.com/news/2026/06/eliya-jvm-diagnostic-profile/?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/2026/06/eliya-jvm-diagnostic-profile/en/headerimage/java-istock-image-01-1762720446658-1782700328980.jpg"/&gt;&lt;p&gt;Asymm Systems has released Eliya 25.0.3, an OpenJDK 25 LTS distribution aimed at improving production diagnostics in Java environments. It consolidates several HotSpot features into an opt-in Production profile. Eliya is designed for teams needing reliable diagnostic data, especially in regulated settings. Future enhancements are planned for Phase 2.&lt;/p&gt; &lt;i&gt;By A N M Bazlur Rahman&lt;/i&gt;</description>
      <category>JDK 25</category>
      <category>Open JDK</category>
      <category>Observability</category>
      <category>Java</category>
      <category>Monitoring</category>
      <category>JDK</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 29 Jun 2026 14:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/eliya-jvm-diagnostic-profile/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>A N M Bazlur Rahman</dc:creator>
      <dc:date>2026-06-29T14:50:00Z</dc:date>
      <dc:identifier>/news/2026/06/eliya-jvm-diagnostic-profile/en</dc:identifier>
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