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    <title>InfoQ - Infrastructure</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Infrastructure feed</description>
    <item>
      <title>Article: Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs</title>
      <link>https://www.infoq.com/articles/rightsizing-platform-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/articles/rightsizing-platform-engineering/en/smallimage/rightsizing-platform-engineering-thumbnail-1787296955801.jpg"/&gt;&lt;p&gt;Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster.&lt;/p&gt; &lt;i&gt;By John Keates&lt;/i&gt;</description>
      <category>Artifacts &amp; Tools</category>
      <category>Coding Standards</category>
      <category>Architecture</category>
      <category>Infrastructure</category>
      <category>Delivering Quality</category>
      <category>Developer Experience</category>
      <category>Platforms</category>
      <category>Stories &amp; Case Studies</category>
      <category>Platform Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>article</category>
      <pubDate>Mon, 24 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/rightsizing-platform-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>John Keates</dc:creator>
      <dc:date>2026-08-24T11:00:00Z</dc:date>
      <dc:identifier>/articles/rightsizing-platform-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale</title>
      <link>https://www.infoq.com/presentations/autonomous-ai-software-development-roblox/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/presentations/autonomous-ai-software-development-roblox/en/mediumimage/andrew-swerdlow-medium-1787218240356.jpg"/&gt;&lt;p&gt;Andrew Swerdlow shares how Roblox scales autonomous software development from prompt to production. He discusses building robust security sandboxes, extracting institutional knowledge via code review exemplars, updating engineering infrastructure, and redefining productivity metrics around feature velocity and long-running AI turns to achieve trusted, automated deployment at scale.&lt;/p&gt; &lt;i&gt;By Andrew Swerdlow&lt;/i&gt;</description>
      <category>Architecture</category>
      <category>QCon AI Boston 2026</category>
      <category>Productivity</category>
      <category>Metrics</category>
      <category>Code Reviews</category>
      <category>autonomous</category>
      <category>Developer Experience</category>
      <category>Orchestration</category>
      <category>Prompt Engineering</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Mon, 24 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/autonomous-ai-software-development-roblox/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Andrew Swerdlow</dc:creator>
      <dc:date>2026-08-24T11:00:00Z</dc:date>
      <dc:identifier>/presentations/autonomous-ai-software-development-roblox/en</dc:identifier>
    </item>
    <item>
      <title>OVHcloud Raises Prices as AI Memory Demand Reprices Non-AI Infrastructure</title>
      <link>https://www.infoq.com/news/2026/08/ovhcloud-memory-price-rise/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/ovhcloud-memory-price-rise/en/headerimage/generatedHeaderImage-1787136997592.jpg"/&gt;&lt;p&gt;OVHcloud will raise prices from September, with 2026-edition gaming servers up 87 percent and other recent servers 40 to 59 percent. Founder Octave Klaba says memory cost six times more in June than a year earlier, as RAM suppliers shifted capacity toward high-bandwidth memory for AI. AWS, buying years ahead, has repriced one reserved GPU product.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Storage</category>
      <category>Infrastructure</category>
      <category>AI Cost Optimisation</category>
      <category>Capacity Planning</category>
      <category>Cloud and 'Lock In'</category>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Hardware</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 23 Aug 2026 08:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/ovhcloud-memory-price-rise/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-23T08:43:00Z</dc:date>
      <dc:identifier>/news/2026/08/ovhcloud-memory-price-rise/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Why Fetch When You Can Sync? Building Local-First Apps on a Sync Engine Architecture</title>
      <link>https://www.infoq.com/presentations/local-first-sync-engine/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/presentations/local-first-sync-engine/en/mediumimage/James-Arthur-medium-1786620651340.jpeg"/&gt;&lt;p&gt;James Arthur shares why sync is the next frontier in frontend architecture. He explains how extending reactivity to the server with Electric and TanStack DB replaces imperative fetching with declarative data bindings. Learn how query-driven sync and local optimistic updates enable engineering leaders to build insanely fast, collaborative, and agentic applications using their existing stack.&lt;/p&gt; &lt;i&gt;By James Arthur&lt;/i&gt;</description>
      <category>Infrastructure</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Sync Framework</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Thu, 20 Aug 2026 13:19:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/local-first-sync-engine/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>James Arthur</dc:creator>
      <dc:date>2026-08-20T13:19:00Z</dc:date>
      <dc:identifier>/presentations/local-first-sync-engine/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Understanding Progressive Collapse: How To Avoid A Cascading Failure</title>
      <link>https://www.infoq.com/presentations/progressive-collapse-system-resilience/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/presentations/progressive-collapse-system-resilience/en/mediumimage/sam-newman-medium-1785845419904.jpg"/&gt;&lt;p&gt;Sam Newman discusses the concept of progressive collapse in civil engineering and how it applies to distributed systems. Using real-world examples - from the 1968 Ronan Point tower failure to AWS outages - he shares crucial resilience engineering strategies for software leaders. Learn how to strengthen components, isolate failures, and reduce interconnections to prevent catastrophic cascades.&lt;/p&gt; &lt;i&gt;By Sam Newman&lt;/i&gt;</description>
      <category>Distributed Systems</category>
      <category>QCon London 2026</category>
      <category>Microservices</category>
      <category>Resilience</category>
      <category>Cloud Architecture</category>
      <category>Failure</category>
      <category>Fault Tolerance</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Wed, 19 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/progressive-collapse-system-resilience/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Sam Newman</dc:creator>
      <dc:date>2026-08-19T11:00:00Z</dc:date>
      <dc:identifier>/presentations/progressive-collapse-system-resilience/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Fab To Token - The State Of The Market</title>
      <link>https://www.infoq.com/presentations/ai-hardware-tokenomics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-hardware-tokenomics/en/mediumimage/jordan-nanos-medium-1786538855211.jpg"/&gt;&lt;p&gt;Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing from SemiAnalysis research, he shares insights on benchmark performance, GPU scaling, and tokenomics from chip fab to model inference.&lt;/p&gt; &lt;i&gt;By Jordan Nanos&lt;/i&gt;</description>
      <category>Infrastructure</category>
      <category>GPU</category>
      <category>Large language models</category>
      <category>Hardware</category>
      <category>Benchmark</category>
      <category>Model Inference</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>AI Security</category>
      <category>Data Analytics</category>
      <category>Performance</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 18 Aug 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-hardware-tokenomics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure</guid>
      <dc:creator>Jordan Nanos</dc:creator>
      <dc:date>2026-08-18T16:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-hardware-tokenomics/en</dc:identifier>
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