<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Conferences</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Conferences feed</description>
    <item>
      <title>Presentation: Exploding GPUs and the AI Infrastructure Challenge</title>
      <link>https://www.infoq.com/presentations/ai-security-kubernetes-gpu-threats/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-security-kubernetes-gpu-threats/en/mediumimage/andrew-martin-medium-1790846331295.jpeg"/&gt;&lt;p&gt;Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.&lt;/p&gt; &lt;i&gt;By Andrew Martin&lt;/i&gt;</description>
      <category>Containers</category>
      <category>Agents</category>
      <category>Cloud-Native</category>
      <category>Kubernetes</category>
      <category>Transcripts</category>
      <category>Infrastructure</category>
      <category>QCon London 2026</category>
      <category>AI Security</category>
      <category>GPU</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Fri, 16 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-security-kubernetes-gpu-threats/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Andrew Martin</dc:creator>
      <dc:date>2026-10-16T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-security-kubernetes-gpu-threats/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=Conferences</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>Authentication</category>
      <category>Provisioning</category>
      <category>Enterprise</category>
      <category>Mobile Privacy</category>
      <category>Interop</category>
      <category>Identity Management</category>
      <category>Digital Identity</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=Conferences</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>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=Conferences</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=Conferences</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=Conferences</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=Conferences</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=Conferences</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=Conferences</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>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=Conferences</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=Conferences</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>Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale</title>
      <link>https://www.infoq.com/presentations/netflix-observability-aiops-ontology-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/netflix-observability-aiops-ontology-scale/en/mediumimage/medium-1790845339712.jpg"/&gt;&lt;p&gt;Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitoring with an AI-driven operational ontology and agentic workflows using Claude and graph databases. They explain how unifying MELT telemetry into queryable knowledge graphs enables automated triaging, root-cause analysis, and self-healing systems.&lt;/p&gt; &lt;i&gt;By Prasanna Vijayanathan, Renzo Sanchez-Silva&lt;/i&gt;</description>
      <category>AIOps</category>
      <category>Site Reliability Engineering</category>
      <category>Observability</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>QCon London 2026</category>
      <category>Ontology</category>
      <category>Telemetry</category>
      <category>Scaling</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Fri, 09 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/netflix-observability-aiops-ontology-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Prasanna Vijayanathan, Renzo Sanchez-Silva</dc:creator>
      <dc:date>2026-10-09T11:00:00Z</dc:date>
      <dc:identifier>/presentations/netflix-observability-aiops-ontology-scale/en</dc:identifier>
    </item>
  </channel>
</rss>
