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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <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=global</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>Development</category>
      <category>Architecture &amp; Design</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=global</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=global</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>Hibernate ORM</category>
      <category>JDK 28</category>
      <category>Open Liberty</category>
      <category>Apache TomEE</category>
      <category>Spring Framework</category>
      <category>Open JDK</category>
      <category>Helidon</category>
      <category>Commonhaus Foundation</category>
      <category>Quarkus</category>
      <category>Java</category>
      <category>JobRunr</category>
      <category>Development</category>
      <category>Architecture &amp; Design</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=global</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=global</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>Adversarial Machine Learning</category>
      <category>AI Security</category>
      <category>Development</category>
      <category>Architecture &amp; Design</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=global</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>Podcast: How eBPF Empowers Developers to Observe Inside the Linux Kernel in a Safe and Unintrusive Way</title>
      <link>https://www.infoq.com/podcasts/empowers-developers-inside-linux-kernel/?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/empowers-developers-inside-linux-kernel/en/smallimage/the-infoq-podcast-logo-thumbnail-1781614035659.jpg"/&gt;&lt;p&gt;Dan Fineran explores how eBPF has evolved far beyond its roots in packet filtering into a robust, safe way to extend the Linux kernel. He explains how the eBPF "verifier", the security guardrail, enables implementation of deep observability and networking without the risks of traditional kernel modules or the slow upstreaming process.&lt;/p&gt; &lt;i&gt;By Dan Fineran&lt;/i&gt;</description>
      <category>eBPF</category>
      <category>Linux</category>
      <category>The InfoQ Podcast</category>
      <category>Security</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>podcast</category>
      <pubDate>Mon, 22 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/empowers-developers-inside-linux-kernel/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Dan Fineran</dc:creator>
      <dc:date>2026-06-22T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/empowers-developers-inside-linux-kernel/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=global</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</category>
      <category>Cloud Architecture</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</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=global</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>
    </item>
    <item>
      <title>Anthropic Reports Claude Now Handles 95% of Internal Analytics Queries</title>
      <link>https://www.infoq.com/news/2026/06/anthropic-claude-analytics/?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/anthropic-claude-analytics/en/headerimage/generatedHeaderImage-1781542483302.jpg"/&gt;&lt;p&gt;Anthropic recently reported that Claude now handles around 95% of its internal analytics requests, letting employees query business data independently instead of relying on data teams. The company attributes this result less to advances in models and more to data governance, semantic definitions, and operational discipline.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Business Analytics</category>
      <category>Claude</category>
      <category>Data Analytics</category>
      <category>Data Lake</category>
      <category>Anthropic</category>
      <category>Data Governance</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 21 Jun 2026 16:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/anthropic-claude-analytics/?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>2026-06-21T16:47:00Z</dc:date>
      <dc:identifier>/news/2026/06/anthropic-claude-analytics/en</dc:identifier>
    </item>
    <item>
      <title>Inside Atlassian’s Forge Billing Architecture for Distributed Usage Tracking at Scale</title>
      <link>https://www.infoq.com/news/2026/06/forge-billing-usage-platform/?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/forge-billing-usage-platform/en/headerimage/generatedHeaderImage-1780198060365.jpg"/&gt;&lt;p&gt;Atlassian details the Forge billing platform built for usage-based pricing across its cloud ecosystem. It processes large-scale usage events with correct attribution, deduplication, and aggregation using a streaming pipeline, idempotent processing, and layered storage to enable accurate billing, near real-time visibility, and reliable reconciliation across distributed services.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Event Stream Processing</category>
      <category>Atlassian</category>
      <category>Jira</category>
      <category>Multi-tenancy</category>
      <category>Apache Kafka</category>
      <category>Event Driven Architecture</category>
      <category>Streaming</category>
      <category>Observability</category>
      <category>FinOps</category>
      <category>SaaS</category>
      <category>Distributed Systems</category>
      <category>Cloud Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 14:21:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/forge-billing-usage-platform/?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>2026-06-20T14:21:00Z</dc:date>
      <dc:identifier>/news/2026/06/forge-billing-usage-platform/en</dc:identifier>
    </item>
    <item>
      <title>Apple Launches Core AI for Apple-Silicon Optimized On-Device Generative AI</title>
      <link>https://www.infoq.com/news/2026/06/apple-core-ai-wwdc/?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/apple-core-ai-wwdc/en/headerimage/jetbrains-rustrover-ide-1781953134950.jpeg"/&gt;&lt;p&gt;At WWDC 26, Apple announced the Core AI framework, the official successor to Core ML. It is designed to allow developers to run large language models and generative AI entirely on-device, supporting both custom-converted PyTorch models and pre-optimized open-source models.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>iOS</category>
      <category>Mobile</category>
      <category>Artificial Intelligence</category>
      <category>visionOS</category>
      <category>Python</category>
      <category>Apple</category>
      <category>MacOS</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/apple-core-ai-wwdc/?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>2026-06-20T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/apple-core-ai-wwdc/en</dc:identifier>
    </item>
    <item>
      <title>AWS Adds Multi-Region Replication to Amazon Cognito Identity Service</title>
      <link>https://www.infoq.com/news/2026/06/cognito-replication-aws/?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/cognito-replication-aws/en/headerimage/generatedHeaderImage-1780821804660.jpg"/&gt;&lt;p&gt;AWS recently introduced Amazon Cognito multi-region replication, which automatically replicates user identities and user pool configurations from a primary region to a secondary one. This enables applications to continue authenticating users from a replica region during outages, without requiring custom replication and failover mechanisms.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Authentication</category>
      <category>Cloud Security</category>
      <category>Identity Management</category>
      <category>AWS</category>
      <category>multi-region</category>
      <category>Availability</category>
      <category>Cloud</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 20 Jun 2026 07:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/cognito-replication-aws/?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>2026-06-20T07:40:00Z</dc:date>
      <dc:identifier>/news/2026/06/cognito-replication-aws/en</dc:identifier>
    </item>
    <item>
      <title>Behind the Scenes:  Block 450 JVM Repositories into Monorepo to Reduce Dependency Drift</title>
      <link>https://www.infoq.com/news/2026/06/block-450-jvm-monorepo-migration/?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;Block, Inc. describes migrating ~450 JVM repositories into a monorepo across Cash App and Square engineering to reduce dependency drift and coordination overhead. The system supports ~8,800 weekly builds with ~10 min p90 CI time. The approach improves cross-service changes, build visibility, and developer experience through dependency graph–based builds, selective CI, and custom IDE tooling.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>IntelliJ IDEA</category>
      <category>JVM</category>
      <category>Platform Engineering</category>
      <category>Large Projects</category>
      <category>Continuous Integration</category>
      <category>plugins</category>
      <category>Java</category>
      <category>Distributed Systems</category>
      <category>Continuous Deployment</category>
      <category>Build systems</category>
      <category>IDE</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 14:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/block-450-jvm-monorepo-migration/?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>2026-06-19T14:47:00Z</dc:date>
      <dc:identifier>/news/2026/06/block-450-jvm-monorepo-migration/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: AI Agents to Make Sense of Data at OpenAI</title>
      <link>https://www.infoq.com/presentations/data-aware-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/presentations/data-aware-ai-agents/en/mediumimage/bonnie-xu-medium-1781164411672.jpg"/&gt;&lt;p&gt;OpenAI’s Bonnie Xu discusses Kepler, an internal AI data analyst agent built to query 600+ petabytes of data. She explains how they overcome context window limits using MCP, automated code crawling, and RAG. Xu also shares how their team leverages scoped semantic memory for self-learning and utilizes AST-based LLM grading to build a robust, regression-free evaluation pipeline.&lt;/p&gt; &lt;i&gt;By Bonnie Xu&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 19 Jun 2026 12:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/data-aware-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bonnie Xu</dc:creator>
      <dc:date>2026-06-19T12:02:00Z</dc:date>
      <dc:identifier>/presentations/data-aware-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>CircleCI Introduces Chunk Sidecars to Bring CI Validation Directly into AI Coding Workflows</title>
      <link>https://www.infoq.com/news/2026/06/circleci-chunk-sidecars/?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/circleci-chunk-sidecars/en/headerimage/generatedHeaderImage-1781604235680.jpg"/&gt;&lt;p&gt;CircleCI has launched Chunk Sidecars, a new capability designed to bring CI-style validation directly into an AI coding agent's inner development loop.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Continuous Integration</category>
      <category>Sidecar</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/circleci-chunk-sidecars/?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>2026-06-19T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/circleci-chunk-sidecars/en</dc:identifier>
    </item>
    <item>
      <title>TSRX: a Framework-Agnostic Alternative to JSX</title>
      <link>https://www.infoq.com/news/2026/06/tsrx-alternative-jsx/?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/tsrx-alternative-jsx/en/headerimage/generatedHeaderImage-1781801475835.jpg"/&gt;&lt;p&gt;TSRX is a TypeScript language extension developed by Dominic Gannaway, designed to build declarative user interfaces in a framework-agnostic manner. It compiles single .tsrx files to various runtime targets and supports scoped styles and declarative error handling. TSRX is currently in alpha and is open source under the MIT license.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>React</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 11:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/tsrx-alternative-jsx/?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>2026-06-19T11:49:00Z</dc:date>
      <dc:identifier>/news/2026/06/tsrx-alternative-jsx/en</dc:identifier>
    </item>
    <item>
      <title>Article: Designing Continuous Authorization for Sensitive Cloud Systems</title>
      <link>https://www.infoq.com/articles/continuous-authorization-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/articles/continuous-authorization-cloud/en/headerimage/continuous-authorization-cloud-header-1781599988842.jpg"/&gt;&lt;p&gt;Most cloud systems make one authorization decision at login. Everything after runs on trust established at authentication time. For systems handling regulated data, that gap is where breaches happen. This article presents a continuous authorization architecture covering risk-tiered evaluation, behavioral baselines, privacy-preserving audit trails, and a phased and incremental rollout.&lt;/p&gt; &lt;i&gt;By Venkata Nedunoori&lt;/i&gt;</description>
      <category>Authorization</category>
      <category>Zero Trust</category>
      <category>Data Privacy</category>
      <category>Cloud Security</category>
      <category>Identity Management</category>
      <category>GDPR</category>
      <category>Cloud</category>
      <category>Compliance</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>article</category>
      <pubDate>Fri, 19 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/continuous-authorization-cloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Venkata Nedunoori</dc:creator>
      <dc:date>2026-06-19T09:00:00Z</dc:date>
      <dc:identifier>/articles/continuous-authorization-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Azure Functions Ships Serverless Agents Runtime at Build 2026</title>
      <link>https://www.infoq.com/news/2026/06/azure-functions-serverless-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/2026/06/azure-functions-serverless-agent/en/headerimage/generatedHeaderImage-1781769901887.jpg"/&gt;&lt;p&gt;Azure Functions shipped a serverless agents runtime in public preview at Build 2026. Agents are defined in .agent.md markdown files with YAML triggers, MCP server access, 1,400+ connectors, and sandboxed execution. The Functions team confirmed to InfoQ that the runtime adds no cold start overhead and no billing premium beyond standard Flex Consumption.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Microsoft Azure</category>
      <category>Cloud</category>
      <category>FaaS</category>
      <category>Azure Functions</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 19 Jun 2026 08:57:00 GMT</pubDate>
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      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-19T08:57:00Z</dc:date>
      <dc:identifier>/news/2026/06/azure-functions-serverless-agent/en</dc:identifier>
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