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    <title>InfoQ - Development</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Development feed</description>
    <item>
      <title>How Cloudflare Solved a Congestion Bug in quiche</title>
      <link>https://www.infoq.com/news/2026/06/cloudflare-bug-quiche/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/cloudflare-bug-quiche/en/headerimage/generatedHeaderImage-1782410835538.jpg"/&gt;&lt;p&gt;Cloudflare has recently shared how they uncovered an issue in their Rust implementation of CUBIC, a congestion controller algorithm, which prevented it from recovering from a scenario of heavy packet loss at the start of a connection.&lt;/p&gt; &lt;i&gt;By Gianmarco Nalin&lt;/i&gt;</description>
      <category>QUIC Protocol</category>
      <category>Bugs and Hotfixes</category>
      <category>UDP</category>
      <category>Cloud</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/cloudflare-bug-quiche/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Gianmarco Nalin</dc:creator>
      <dc:date>2026-06-25T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/cloudflare-bug-quiche/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Rust at the Core - Accelerating Polyglot SDK Development</title>
      <link>https://www.infoq.com/presentations/rust-polyglot-sdk/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/presentations/rust-polyglot-sdk/en/mediumimage/spencer-judge-medium-1781688097548.jpeg"/&gt;&lt;p&gt;Spencer Judge discusses the architectural pattern of building a shared core in Rust with language-specific layers on top. Drawing from his work on Temporal's SDKs, he shares lessons on navigating FFI boundaries, bridging async concepts, and managing memory safely. He explains the limitations of native extensions and how emerging tech like WebAssembly can streamline cross-language architecture.&lt;/p&gt; &lt;i&gt;By Spencer Judge&lt;/i&gt;</description>
      <category>SDK</category>
      <category>Transcripts</category>
      <category>Rust</category>
      <category>QCon San Francisco 2025</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 25 Jun 2026 10:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rust-polyglot-sdk/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Spencer Judge</dc:creator>
      <dc:date>2026-06-25T10:23:00Z</dc:date>
      <dc:identifier>/presentations/rust-polyglot-sdk/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Ships Agent Skills for Zero Trust Deployment and Migration</title>
      <link>https://www.infoq.com/news/2026/06/cloudflare-one-stack-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/cloudflare-one-stack-agents/en/headerimage/generatedHeaderImage-1782201861296.jpg"/&gt;&lt;p&gt;Cloudflare released the Cloudflare One stack, an open-source library of agent skills for planning, deploying, and managing Zero Trust environments. The skills include automated migration logic for Zscaler and Palo Alto Networks, the same logic used in Cloudflare's Descaler program that has moved enterprise customers in hours rather than months.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Access Control</category>
      <category>Information Security</category>
      <category>Cloudflare</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, 25 Jun 2026 09:27:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/cloudflare-one-stack-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-25T09:27:00Z</dc:date>
      <dc:identifier>/news/2026/06/cloudflare-one-stack-agents/en</dc:identifier>
    </item>
    <item>
      <title>Slack Outlines Four-Phase Journey to a Multi-Cloud AI Serving Platform</title>
      <link>https://www.infoq.com/news/2026/06/slack-multicloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/slack-multicloud/en/headerimage/generatedHeaderImage-1782335922071.jpg"/&gt;&lt;p&gt;Slack has outlined how its AI serving infrastructure evolved through four distinct phases, moving from a self-managed Amazon SageMaker deployment to a multi-cloud architecture spanning AWS Bedrock and Google Cloud Vertex AI.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Distributed Systems</category>
      <category>Cloud Architecture</category>
      <category>Cloud</category>
      <category>Large language models</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 07:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/slack-multicloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-06-25T07:02:00Z</dc:date>
      <dc:identifier>/news/2026/06/slack-multicloud/en</dc:identifier>
    </item>
    <item>
      <title>Grab Builds Secure Agentic AI Workload Platform</title>
      <link>https://www.infoq.com/news/2026/06/grab-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software, model-driven agents exhibit unpredictable tool-use, code-writing, and prompt injection risks. Palana contains these threats at the infrastructure level using isolated namespaces, out-of-process control planes, and proxy-mediated, Vault-backed secrets.&lt;/p&gt; &lt;i&gt;By Patrick Farry&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Security</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 02:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/grab-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Patrick Farry</dc:creator>
      <dc:date>2026-06-25T02:08:00Z</dc:date>
      <dc:identifier>/news/2026/06/grab-ai-platform/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Lead: HTML Increasingly Better Than Markdown at Keeping Humans Engaged in Agentic Loops</title>
      <link>https://www.infoq.com/news/2026/06/anthropic-html-markdown-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/anthropic-html-markdown-agent/en/headerimage/generatedHeaderImage-1782335059166.jpg"/&gt;&lt;p&gt;Thariq Shihipar, engineering lead for the Claude Code team, recently published a blog post (Using Claude Code: The Unreasonable Effectiveness of HTML) arguing that HTML, with its richer visualizations, color, and interactivity, improves the productivity of human-agent communication in many settings, especially when compared to default Markdown outputs.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>HTML</category>
      <category>AI Coding</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 23:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/anthropic-html-markdown-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-06-24T23:06:00Z</dc:date>
      <dc:identifier>/news/2026/06/anthropic-html-markdown-agent/en</dc:identifier>
    </item>
    <item>
      <title>Google OpenRL is an Experimental Self-hosted API for LLM Post-Training Fine-Tuning</title>
      <link>https://www.infoq.com/news/2026/06/google-open-rl-fine-tuning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/google-open-rl-fine-tuning/en/headerimage/google-open-rl-fine-tuning-1782322457170.jpeg"/&gt;&lt;p&gt;Google's GKE Labs has introduced OpenRL, an open-source project that provides a self-hosted API for post-training and fine-tuning Large Language Models (LLMs) on standard Kubernetes clusters.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Google</category>
      <category>Model Fine Tuning</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/google-open-rl-fine-tuning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-06-24T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/google-open-rl-fine-tuning/en</dc:identifier>
    </item>
    <item>
      <title>AI Is Moving up the Software Lifecycle: from Code Review to PRD Governance</title>
      <link>https://www.infoq.com/news/2026/06/ai-prd-code-review-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs, and code review. Initiatives from Uber, DoorDash, and Cloudflare highlight a shift toward AI-driven governance layers that evaluate engineering artifacts before implementation while preserving human oversight across the development pipeline.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Documentation</category>
      <category>Requirements</category>
      <category>Software Development Lifecycle</category>
      <category>AI Coding</category>
      <category>AI Assisted Coding</category>
      <category>Agents</category>
      <category>Governance</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>Code Reviews</category>
      <category>Software Engineering</category>
      <category>Workflow / BPM</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 14:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/ai-prd-code-review-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-24T14:57:00Z</dc:date>
      <dc:identifier>/news/2026/06/ai-prd-code-review-governance/en</dc:identifier>
    </item>
    <item>
      <title>Article: Beyond CLEAN and MVP: Architecting an Offline-first Reactive Data Layer in Android</title>
      <link>https://www.infoq.com/articles/rdla-offline-first-reactive-android-data-layer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/articles/rdla-offline-first-reactive-android-data-layer/en/headerimage/rdla-offline-first-reactive-android-data-layer-header-1781776366032.jpg"/&gt;&lt;p&gt;With the Reactive Data Layer Architecture (RDLA), you establish a clear boundary between public data APIs and private, framework-specific data-source implementations. Your presentation layer operates in a purely reactive manner, observing data changes rather than procedurally querying them. RDLA also simplifies testing by encouraging you to program to interfaces and use clean seeding patterns.&lt;/p&gt; &lt;i&gt;By Mervyn Anthony&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Asynchronous Architecture</category>
      <category>MVP</category>
      <category>Reactive Programming</category>
      <category>Clean Architecture</category>
      <category>Android</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 24 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/rdla-offline-first-reactive-android-data-layer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Mervyn Anthony</dc:creator>
      <dc:date>2026-06-24T09:00:00Z</dc:date>
      <dc:identifier>/articles/rdla-offline-first-reactive-android-data-layer/en</dc:identifier>
    </item>
    <item>
      <title>Lucide Releases Version 1.0, Removing Brand Icons and Cutting Bundle Size for Millions of Projects</title>
      <link>https://www.infoq.com/news/2026/06/lucide-v1-icons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/lucide-v1-icons/en/headerimage/generatedHeaderImage-1782203932198.jpg"/&gt;&lt;p&gt;Lucide has released version 1.0 of its open-source icon toolkit, marking its first stable major release. The update features over 1,600 icons and removes trademarked brand icons due to legal and design concerns. Significant performance improvements have also been made, reducing package size and adding context providers for various frameworks. Users upgrading should be aware of breaking changes.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 13:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/lucide-v1-icons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-06-23T13:28:00Z</dc:date>
      <dc:identifier>/news/2026/06/lucide-v1-icons/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Blocks, an Open-Source TypeScript Framework Designed for AI Agents to Build Backends</title>
      <link>https://www.infoq.com/news/2026/06/aws-blocks-framework-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-blocks-framework-preview/en/headerimage/generatedHeaderImage-1782118076693.jpg"/&gt;&lt;p&gt;AWS released Blocks in public preview, an open-source TypeScript framework where each Block bundles application code, local mocks, and AWS infrastructure. Designed for AI agents to write correct backends from the start, it runs locally without an AWS account and deploys the same code to Lambda, DynamoDB, Aurora, and Bedrock with zero changes.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Infrastructure as Code</category>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>Open Source Project Releases</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 23 Jun 2026 09:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-blocks-framework-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-23T09:15:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-blocks-framework-preview/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service</title>
      <link>https://www.infoq.com/presentations/mobile-user-tracking-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/presentations/mobile-user-tracking-service/en/mediumimage/alina-krasavina-medium-1781688348523.jpg"/&gt;&lt;p&gt;Alina Krasavina explains how Delivery Hero successfully deprecated Google Analytics and migrated to an internal user tracking platform. She discusses how a simplistic, highly scalable architecture allowed them to handle 10 times more load while capturing 97% of tracking data.&lt;/p&gt; &lt;i&gt;By Alina Krasavina&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Data Analytics</category>
      <category>Transcripts</category>
      <category>Cross Platform</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 22 Jun 2026 15:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mobile-user-tracking-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Alina Krasavina</dc:creator>
      <dc:date>2026-06-22T15:07:00Z</dc:date>
      <dc:identifier>/presentations/mobile-user-tracking-service/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: Spring Tools, Helidon, Open Liberty, TomEE, JobRunr, Hibernate, Commonhaus</title>
      <link>https://www.infoq.com/news/2026/06/java-news-roundup-jun15-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/java-news-roundup-jun15-2026/en/headerimage/java-news-roundup-image-1782133635464.jpg"/&gt;&lt;p&gt;This week's Java roundup for June 15th, 2026, features news highlighting: point releases of Spring Tools, Helidon, JobRunr and Gradle; the June 2026 edition of Open Liberty; the first milestone release of Apache TomEE 11.0; the first beta release of Hibernate ORM 8.0; Quarkus emergency maintenance releases to address CVE-2026-50559; and four open-source projects join the Commonhaus Foundation.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Gradle</category>
      <category>JDK 27</category>
      <category>Commonhaus Foundation</category>
      <category>Quarkus</category>
      <category>Java</category>
      <category>JobRunr</category>
      <category>Spring Framework</category>
      <category>Helidon</category>
      <category>Open JDK</category>
      <category>Hibernate ORM</category>
      <category>Apache TomEE</category>
      <category>Open Liberty</category>
      <category>JDK 28</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 22 Jun 2026 13:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/java-news-roundup-jun15-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-06-22T13:15:00Z</dc:date>
      <dc:identifier>/news/2026/06/java-news-roundup-jun15-2026/en</dc:identifier>
    </item>
    <item>
      <title>Article: Understanding ML Model Poisoning: How It Happens and How to Detect It</title>
      <link>https://www.infoq.com/articles/understanding-ml-model-poisoning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/articles/understanding-ml-model-poisoning/en/headerimage/header-understanding-ml-model-poisoning-1781597719189.jpg"/&gt;&lt;p&gt;In this article, the author explores data poisoning as a threat to machine learning systems, covering techniques such as label flipping, backdoors, clean-label poisoning, and gradient manipulation. The article reviews real-world incidents, discusses the challenges of detecting poisoned data, and presents practical defenses, tools, and operational practices for securing ML training pipelines.&lt;/p&gt; &lt;i&gt;By Igor Maljkovic&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Adversarial Machine Learning</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 22 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/understanding-ml-model-poisoning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Igor Maljkovic</dc:creator>
      <dc:date>2026-06-22T11:00:00Z</dc:date>
      <dc:identifier>/articles/understanding-ml-model-poisoning/en</dc:identifier>
    </item>
    <item>
      <title>AWS Graviton5 Reaches General Availability with 192 Cores and Formally Verified VM Isolation</title>
      <link>https://www.infoq.com/news/2026/06/aws-graviton5-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-graviton5-ga/en/headerimage/generatedHeaderImage-1781703289721.jpg"/&gt;&lt;p&gt;AWS made Graviton5-powered EC2 M9g and M9gd instances generally available with 192 ARM cores, formally verified VM isolation via the Nitro Isolation Engine, and DDR5-8800 memory. ClickHouse reported 36% better performance with zero code changes. Meta committed tens of millions of cores. On-demand pricing is 9% above Graviton4, translating to roughly 15% better price-performance.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>AWS</category>
      <category>IaaS</category>
      <category>Containers</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, 22 Jun 2026 10:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-graviton5-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-22T10:05:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-graviton5-ga/en</dc:identifier>
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