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    <title>InfoQ - Architecture</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Architecture feed</description>
    <item>
      <title>Article: From Microservices to Agents: the Next Evolution of Distributed Systems</title>
      <link>https://www.infoq.com/articles/distributed-systems-microservices-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/articles/distributed-systems-microservices-agentic-ai/en/headerimage/header-1792138504151.jpg"/&gt;&lt;p&gt;The article examines the transition from microservices to agentic AI architecture in distributed systems. Microservices allow for functional decomposition, while agentic systems focus on decision decomposition. This shift introduces new complexities in observability, reliability, and system design, highlighting the need for updated architectural patterns and practices.&lt;/p&gt; &lt;i&gt;By Mallika Rao&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>Microservices</category>
      <category>Distributed Systems</category>
      <category>Agentic AI Architecture Series</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 19 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/distributed-systems-microservices-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Mallika Rao</dc:creator>
      <dc:date>2026-10-19T11:00:00Z</dc:date>
      <dc:identifier>/articles/distributed-systems-microservices-agentic-ai/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: The Future of Web Apps: Will AI Agents Generate UIs on the Fly?</title>
      <link>https://www.infoq.com/podcasts/future-web-apps/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/future-web-apps/en/smallimage/infoq-podcast-500-1792056357235.jpg"/&gt;&lt;p&gt;Rachel Lee Nabors, former React core team member, dives into the architecture and philosophy behind local-first applications, exploring how small language models (SLMs) running directly on-device can deliver privacy-focused, low-latency, and cost-effective alternatives to cloud-hosted LLM wrappers.&lt;/p&gt; &lt;i&gt;By Rachel Lee Nabors&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Software Engineering</category>
      <category>Web App Developer</category>
      <category>UI Testing</category>
      <category>Local First</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Mon, 19 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/future-web-apps/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Rachel Lee Nabors</dc:creator>
      <dc:date>2026-10-19T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/future-web-apps/en</dc:identifier>
    </item>
    <item>
      <title>Mini book: Evolutionary Architecture in Practice</title>
      <link>https://www.infoq.com/minibooks/evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/minibooks/evolutionary-architecture/en/smallimage/thumb-1791282847807.jpg"/&gt;&lt;p&gt;Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design metric, cross-cloud guardrails for regional autonomy, and aligning technical boundaries with Conway’s Law. Move beyond static diagrams to continuous feedback systems that keep change safe and intentional.&lt;/p&gt; &lt;i&gt;By InfoQ&lt;/i&gt;</description>
      <category>Evolutionary Architecture</category>
      <category>Agentic AI Architecture</category>
      <category>Domain Driven Design</category>
      <category>InfoQ Certification Program</category>
      <category>Distributed Systems</category>
      <category>Platform Engineering</category>
      <category>Architecture ICSAET</category>
      <category>Leadership</category>
      <category>Artificial Intelligence</category>
      <category>Sociotechnical Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>minibook</category>
      <pubDate>Fri, 16 Oct 2026 11:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/minibooks/evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>InfoQ</dc:creator>
      <dc:date>2026-10-16T11:30:00Z</dc:date>
      <dc:identifier>/minibooks/evolutionary-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Article: Cryptographic Foundation of Mobile ID Systems: an ISO/IEC 18013-5 Enterprise Architecture Blueprint</title>
      <link>https://www.infoq.com/articles/enterprise-mobile-id-mdl-blueprint/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/articles/enterprise-mobile-id-mdl-blueprint/en/headerimage/enterprise-mobile-id-mdl-blueprint-header-1791967143918.jpg"/&gt;&lt;p&gt;This article provides a framework for asking the right architectural questions before an enterprise commits to an mDL provider or library. It shows which components can be abstracted safely, which trust boundaries must remain visible to the enterprise, what cryptographic and interoperability properties should be verified, and how requirements change across real-world use cases.&lt;/p&gt; &lt;i&gt;By Praveen Kumar Gopalakrishnan&lt;/i&gt;</description>
      <category>Regulation</category>
      <category>Mobile</category>
      <category>Standardization</category>
      <category>Provisioning</category>
      <category>Authentication</category>
      <category>Enterprise</category>
      <category>Mobile Privacy</category>
      <category>Interop</category>
      <category>Digital Identity</category>
      <category>Identity Management</category>
      <category>Access Control</category>
      <category>Government</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Fri, 16 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/enterprise-mobile-id-mdl-blueprint/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Praveen Kumar Gopalakrishnan</dc:creator>
      <dc:date>2026-10-16T09:00:00Z</dc:date>
      <dc:identifier>/articles/enterprise-mobile-id-mdl-blueprint/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Commits Maia to Multi-Gigawatt Inference, and its Efficiency Metric Draws Questions</title>
      <link>https://www.infoq.com/news/2026/10/azure-maia-300/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/azure-maia-300/en/headerimage/generatedHeaderImage-1791943943820.jpg"/&gt;&lt;p&gt;Microsoft will scale its Maia accelerator family to multi-gigawatt deployments from 2027, making it the primary inference system for its own products. Maia 300 collapses scale-up and scale-out onto one Ethernet fabric and moves KV state between prefill and decode workers without leaving it. Practitioners have questioned the tokens-per-watt claim that leads the announcement.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Hardware</category>
      <category>Cloud</category>
      <category>Performance</category>
      <category>Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 06:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/azure-maia-300/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-16T06:02:00Z</dc:date>
      <dc:identifier>/news/2026/10/azure-maia-300/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: What 25 Trillion Tokens Reveal about How Developers Actually Adopt AI Agents</title>
      <link>https://www.infoq.com/presentations/agentic-ai-developer-trust-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/presentations/agentic-ai-developer-trust-adoption/en/mediumimage/brendan-oleary-medium-1791452159106.jpeg"/&gt;&lt;p&gt;Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi-model routing, and feedback loops to help engineering leaders successfully scale agentic workflows.&lt;/p&gt; &lt;i&gt;By Brendan O’Leary&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Code Reviews</category>
      <category>Agents</category>
      <category>AI Coding</category>
      <category>Adoption</category>
      <category>Context Engineering</category>
      <category>Transcripts</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 15 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/agentic-ai-developer-trust-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Brendan O’Leary</dc:creator>
      <dc:date>2026-10-15T11:00:00Z</dc:date>
      <dc:identifier>/presentations/agentic-ai-developer-trust-adoption/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: How to Find Resilience Bugs in Systems that Don't Exist</title>
      <link>https://www.infoq.com/presentations/formal-methods-principles/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/presentations/formal-methods-principles/en/mediumimage/hillel-wayne-medium-1790846078119.jpeg"/&gt;&lt;p&gt;Hillel Wayne discusses how formal methods principles - such as property strength, state-space verification, and environment assumptions - help software engineers uncover critical architectural bugs early. He shares practical mental models like "adversarial non-determinism" to reason about concurrency, edge cases, and distributed system failures without needing complex mathematical tools.&lt;/p&gt; &lt;i&gt;By Hillel Wayne&lt;/i&gt;</description>
      <category>Concurrency</category>
      <category>Transcripts</category>
      <category>Reliability</category>
      <category>Distributed Systems</category>
      <category>QCon London 2026</category>
      <category>Verification</category>
      <category>Debugging</category>
      <category>Resilience</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 14 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/formal-methods-principles/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Hillel Wayne</dc:creator>
      <dc:date>2026-10-14T11:00:00Z</dc:date>
      <dc:identifier>/presentations/formal-methods-principles/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: How Eve Online Leverages Head Based Sampling to Observe "Fun"</title>
      <link>https://www.infoq.com/presentations/eve-observability-head-sampling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/presentations/eve-observability-head-sampling/en/mediumimage/nicholas-herring-medium-1791444748399.jpg"/&gt;&lt;p&gt;Nicholas Herring shares how EVE Online tackles distributed tracing and observability across a 20-year-old MMO architecture. He discusses leveraging head-based, dynamic exponential moving average (EMA), and deterministic sampling techniques to maintain high system fidelity, control telemetry costs, and avoid performance degradation under high-throughput real-time game simulations.&lt;/p&gt; &lt;i&gt;By Nicholas Herring&lt;/i&gt;</description>
      <category>Observability</category>
      <category>Real Time</category>
      <category>Distributed Systems</category>
      <category>Transcripts</category>
      <category>Distributed Tracing</category>
      <category>QCon London 2026</category>
      <category>Telemetry</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 13 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/eve-observability-head-sampling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Nicholas Herring</dc:creator>
      <dc:date>2026-10-13T11:00:00Z</dc:date>
      <dc:identifier>/presentations/eve-observability-head-sampling/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: What Does it Really Mean to Program with AI: a Conversation with Joy Ebertz</title>
      <link>https://www.infoq.com/podcasts/what-really-mean-program-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/what-really-mean-program-ai/en/smallimage/infoq-podcast-500-1791359941231.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Joy Ebertz about how the use of artificial intelligence is changing the way architects and developers do their jobs. Focusing on the long term success of the business is one of the most neglected tasks of an architect. This task becomes particularly important as the nature of artificial intelligence changes the landscape of software development.&lt;/p&gt; &lt;i&gt;By Joy Ebertz&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Modular Monolith</category>
      <category>Microservices</category>
      <category>Architecture</category>
      <category>Requirements</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 12 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/what-really-mean-program-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Joy Ebertz</dc:creator>
      <dc:date>2026-10-12T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/what-really-mean-program-ai/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: You Can't Trust Your AI Bill. And Neither Can I</title>
      <link>https://www.infoq.com/presentations/ai-cloud-cost-economics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-cloud-cost-economics/en/mediumimage/erik-peterson-medium-1791451373591.jpg"/&gt;&lt;p&gt;Erik Peterson discusses why AI spend is eclipsing cloud bills, triggering a major software engineering cost crisis. He explains tokenmaxxing, unit economics, forced developer promotions, and why fully autonomous AI will write, deploy, and govern code by 2028.&lt;/p&gt; &lt;i&gt;By Erik Peterson&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>FinOps</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>Productivity</category>
      <category>Cloud Computing</category>
      <category>Generative AI</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Mon, 12 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-cloud-cost-economics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Erik Peterson</dc:creator>
      <dc:date>2026-10-12T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-cloud-cost-economics/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Traces Turns the Proxy Layer into OpenTelemetry Spans, with New Volume-Based Pricing</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-traces-open-beta/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/cloudflare-traces-open-beta/en/headerimage/generatedHeaderImage-1791443919168.jpg"/&gt;&lt;p&gt;Cloudflare has put Traces into open beta, extending automatic tracing from Workers to security rules, transformations, cache, routing and origin handling as OpenTelemetry spans. Traces accept and forward W3C traceparent headers, and Trace Rules allow targeted sampling. Pricing moves to ingestion and retention volume from December 1.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Observability</category>
      <category>Architecture</category>
      <category>OpenTelemetry</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 10 Oct 2026 07:12:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-traces-open-beta/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-10T07:12:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-traces-open-beta/en</dc:identifier>
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