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    <title>InfoQ - Architecture</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Architecture feed</description>
    <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>
    </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=Architecture</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=Architecture</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>
    <item>
      <title>Cloudflare K2 Builds Event Streams on R2 Object Storage, at a Second of Produce Latency</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-k2-serverless-streams/?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-k2-serverless-streams/en/headerimage/generatedHeaderImage-1791040228747.jpg"/&gt;&lt;p&gt;Cloudflare has launched K2 in public beta, a serverless event streaming service implementing a durable log on R2 object storage. Cloudflare states produce latency of about one second at p99; a tester reported end-to-end p99 of 7.5 seconds, which a commenter answering for the team said was higher than expected. Consume charges match produce charges per GB.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Cloudflare</category>
      <category>Storage</category>
      <category>Event Driven Architecture</category>
      <category>Streaming</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 09 Oct 2026 05:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-k2-serverless-streams/?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>2026-10-09T05:06:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-k2-serverless-streams/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform</title>
      <link>https://www.infoq.com/presentations/spotify-multi-agent-ai-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/presentations/spotify-multi-agent-ai-architecture/en/mediumimage/pratik-rasam-medium-1790847111671.jpeg"/&gt;&lt;p&gt;Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural patterns, domain ownership models, deterministic guardrails, and tracing-based evaluation strategies, detailing hard-learned lessons on drawing agent boundaries, optimizing tool schemas, and managing costs while avoiding monolithic agent pitfalls.&lt;/p&gt; &lt;i&gt;By Pratik Rasam&lt;/i&gt;</description>
      <category>Performance Evaluation</category>
      <category>Agents</category>
      <category>Prompt Engineering</category>
      <category>Patterns</category>
      <category>Transcripts</category>
      <category>AI Architecture</category>
      <category>Generative AI</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, 08 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Pratik Rasam</dc:creator>
      <dc:date>2026-10-08T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spotify-multi-agent-ai-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Grab Redesigns Counter Service Storage for 50% Lower P99 Latency</title>
      <link>https://www.infoq.com/news/2026/10/grab-counter-aerospike-migration/?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/grab-counter-aerospike-migration/en/headerimage/generatedHeaderImage-1790465865171.jpg"/&gt;&lt;p&gt;Grab migrated its high-volume Counter Service from a wide column database to Aerospike using storage abstraction, shadow traffic, data parity validation, and gradual traffic migration. The redesigned data model consolidated time buckets into map-based records. Grab reports about 50% lower production p99 read latency, 1 TB versus 3 TB of disk usage, and 45% to 50% lower cost per node.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Rust</category>
      <category>migration</category>
      <category>Domain Modeling</category>
      <category>Architecture</category>
      <category>Maps</category>
      <category>NoSQL</category>
      <category>Wide Column Database</category>
      <category>Cassandra</category>
      <category>Validation</category>
      <category>Storage</category>
      <category>Low Latency</category>
      <category>Data</category>
      <category>Distributed Systems</category>
      <category>Columnar Databases</category>
      <category>Database</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 07 Oct 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/grab-counter-aerospike-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-07T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/grab-counter-aerospike-migration/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Reinvention of the Dev Team</title>
      <link>https://www.infoq.com/presentations/agentic-dev-teams/?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-dev-teams/en/mediumimage/medium-1790242915891.jpeg"/&gt;&lt;p&gt;Hannah Foxwell shares how the surge of agentic coding forces engineering leaders to rethink team dynamics. She discusses three key anchors for navigating AI-driven velocity: building software worth building, prioritizing automated safety over speed, and preserving the human element through generalist "broken comb" skillsets and sustainable on-call practices.&lt;/p&gt; &lt;i&gt;By Hannah Foxwell&lt;/i&gt;</description>
      <category>Site Reliability Engineering</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>QCon London 2026</category>
      <category>Artificial Intelligence</category>
      <category>Product Management</category>
      <category>Developer Experience</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 07 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/agentic-dev-teams/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Hannah Foxwell</dc:creator>
      <dc:date>2026-10-07T11:00:00Z</dc:date>
      <dc:identifier>/presentations/agentic-dev-teams/en</dc:identifier>
    </item>
    <item>
      <title>Article: Building a Session-Ordered Kafka Pipeline in Go</title>
      <link>https://www.infoq.com/articles/apache-kafka-golang-session-ordered-pipeline/?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/apache-kafka-golang-session-ordered-pipeline/en/headerimage/apache-kafka-golang-session-ordered-pipeline-header-1790945957360.jpg"/&gt;&lt;p&gt;The article describes a custom implementation that provides a session-level ordering on top of Apache Kafka partitions, supporting strict message ordering across 1000s of independent channels. The solution required application-level routing, consistent hashing, retries, and contiguous watermark commits. Engineers conducted operational hardening supported by extensive performance testing.&lt;/p&gt; &lt;i&gt;By Joshua Oluikpe&lt;/i&gt;</description>
      <category>Apache Kafka</category>
      <category>Event Stream Processing</category>
      <category>Event Driven Architecture</category>
      <category>Redis</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Wed, 07 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/apache-kafka-golang-session-ordered-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Joshua Oluikpe</dc:creator>
      <dc:date>2026-10-07T09:00:00Z</dc:date>
      <dc:identifier>/articles/apache-kafka-golang-session-ordered-pipeline/en</dc:identifier>
    </item>
    <item>
      <title>Spanner Omni Reaches GA, Replacing Google's Atomic Clocks and File System with Software</title>
      <link>https://www.infoq.com/news/2026/10/spanner-omni-deploy-anywhere-ga/?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/spanner-omni-deploy-anywhere-ga/en/headerimage/generatedHeaderImage-1791038786495.jpg"/&gt;&lt;p&gt;Google has made Spanner Omni generally available, running its distributed SQL database on-premises, across clouds or on a laptop. Doing so meant replacing Colossus with a Colossus-like abstraction layer and TrueTime with software-based time synchronization. There is no availability SLA, and practitioners are pricing the move in tail latency and operational toil.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Agents</category>
      <category>Google Cloud</category>
      <category>Architecture</category>
      <category>Hybrid Cloud</category>
      <category>Database</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 07 Oct 2026 04:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/spanner-omni-deploy-anywhere-ga/?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>2026-10-07T04:43:00Z</dc:date>
      <dc:identifier>/news/2026/10/spanner-omni-deploy-anywhere-ga/en</dc:identifier>
    </item>
    <item>
      <title>QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale</title>
      <link>https://www.infoq.com/news/2026/10/qconlondon-2027-track/?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/qconlondon-2027-track/en/headerimage/qcon-london-2027-track-focus-1790854597434.jpg"/&gt;&lt;p&gt;A preview of the 15-track QCon London 2027 program, covering agent evaluation and guardrails, AI-era architecture, distributed-system debugging, modern data platforms, high-performance engineering, and Staff+ leadership.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>QCon London 2027</category>
      <category>Software Engineering</category>
      <category>Architecture</category>
      <category>AI Architecture</category>
      <category>QCon Software Development Conference</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 06 Oct 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/qconlondon-2027-track/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-10-06T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/qconlondon-2027-track/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Platform Engineering Playbook for Production LLMs</title>
      <link>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?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/platform-engineering-playbook-production-llms/en/headerimage/platform-engineering-playbook-production-llms-header-1790763235683.jpg"/&gt;&lt;p&gt;In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry &amp; versioning, schema enforcement and token cost attribution by request.&lt;/p&gt; &lt;i&gt;By Aditya Mulik&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 05 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Aditya Mulik</dc:creator>
      <dc:date>2026-10-05T11:00:00Z</dc:date>
      <dc:identifier>/articles/platform-engineering-playbook-production-llms/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Fixes Cross-Tenant Data Exposure in Containers</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-cross-tenant-exposure/?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-cross-tenant-exposure/en/headerimage/generatedHeaderImage-1790844732167.jpg"/&gt;&lt;p&gt;Cloudflare has disclosed a cross-tenant data exposure vulnerability in Containers and Sandboxes, caused by thin-provisioned storage pools configured to skip zeroing reused blocks. Researchers recovered directory structures, database pages and complete SQLite databases across four continents. Cloudflare remediated it and found no evidence of exploitation.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Containers</category>
      <category>Cloudflare</category>
      <category>Storage</category>
      <category>Multi-tenancy</category>
      <category>Security</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 05 Oct 2026 08:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-cross-tenant-exposure/?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>2026-10-05T08:48:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-cross-tenant-exposure/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Building GenAI Platform at DoorDash</title>
      <link>https://www.infoq.com/presentations/doordash-genai-platform-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/presentations/doordash-genai-platform-architecture/en/mediumimage/SiddharthKodwaniSwaroopChitlur-medium-1790246592519.jpg"/&gt;&lt;p&gt;Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal users.&lt;/p&gt; &lt;i&gt;By Siddharth Kodwani, Swaroop Chitlur&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Machine Learning</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>Architecture</category>
      <category>Infrastructure</category>
      <category>Generative AI</category>
      <category>QCon AI Boston 2026</category>
      <category>Developer Experience</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Sat, 03 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/doordash-genai-platform-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture</guid>
      <dc:creator>Siddharth Kodwani, Swaroop Chitlur</dc:creator>
      <dc:date>2026-10-03T11:00:00Z</dc:date>
      <dc:identifier>/presentations/doordash-genai-platform-architecture/en</dc:identifier>
    </item>
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