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    <title>InfoQ - DevOps</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ DevOps feed</description>
    <item>
      <title>Presentation: Context Is the New Code</title>
      <link>https://www.infoq.com/presentations/context-as-code-devops-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/presentations/context-as-code-devops-agents/en/mediumimage/patrick-medium-1789632704652.jpeg"/&gt;&lt;p&gt;Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding agents, maintain control over non-deterministic outputs, and build long-term organizational knowledge.&lt;/p&gt; &lt;i&gt;By Patrick Debois&lt;/i&gt;</description>
      <category>Software Development Lifecycle</category>
      <category>QCon London 2026</category>
      <category>Testing</category>
      <category>Monitoring</category>
      <category>Code Quality</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Performance Evaluation</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Wed, 30 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/context-as-code-devops-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Patrick Debois</dc:creator>
      <dc:date>2026-09-30T11:00:00Z</dc:date>
      <dc:identifier>/presentations/context-as-code-devops-agents/en</dc:identifier>
    </item>
    <item>
      <title>Kubernetes Teams Get a Safer Way to See Their Own GPU Metrics</title>
      <link>https://www.infoq.com/news/2026/09/kubernetes-gpu-metrics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/kubernetes-gpu-metrics/en/headerimage/generatedHeaderImage-1790149809545.jpg"/&gt;&lt;p&gt;Adobe engineers have described an open-source approach for giving teams self-service access to their own Prometheus metrics in multi-tenant Kubernetes environments, without exposing the shared metrics of other teams.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Adobe</category>
      <category>GPU</category>
      <category>Kubernetes</category>
      <category>Metrics</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/kubernetes-gpu-metrics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-09-29T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/kubernetes-gpu-metrics/en</dc:identifier>
    </item>
    <item>
      <title>Atlassian Rebuilds Metrics Pipeline Around OpenTelemetry at Massive Scale</title>
      <link>https://www.infoq.com/news/2026/09/atlassian-opentelemetry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/atlassian-opentelemetry/en/headerimage/generatedHeaderImage-1790363465015.jpg"/&gt;&lt;p&gt;Software company Atlassian has published an account of its migration from gostatsd to OpenTelemetry, replacing the internal workings of a metrics platform that receives data from about 100,000 hosts across 14 regions. The existing service had a 99.95% SLO, so the team had to change the platform without disrupting the metrics used by production alerts.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>OpenTelemetry</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 29 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/atlassian-opentelemetry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-09-29T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/atlassian-opentelemetry/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Worker Previews: Per-Branch Environments for Workers</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-worker-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/cloudflare-worker-agent/en/headerimage/generatedHeaderImage-1790586440950.jpg"/&gt;&lt;p&gt;Cloudflare has introduced Worker Previews. This feature allows each Git branch to have its own isolated, production-like environment for a Worker. Each environment has a stable URL. It also has its own configuration and unique state for each branch. Plus, there’s scoped observability.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>AI Coding</category>
      <category>AI coding agents</category>
      <category>Cloudflare</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 29 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-worker-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-09-29T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-worker-agent/en</dc:identifier>
    </item>
    <item>
      <title>Python Workers Reach GA on Cloudflare, with Questions About Cold Starts and Upstream Maintenance</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-python-workers-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Cloudflare has made Python Workers generally available, built on PEP 783 and on socket syscalls implemented over the Workers connect API. The announcement carries no performance figures. A urllib3 maintainer questioned who supports the upstream work afterwards, and Wasmer's founder asked for cold-start numbers, citing about 1.027 seconds from Cloudflare's own earlier post.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>WebAssembly</category>
      <category>Developer Experience</category>
      <category>Serverless</category>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Python</category>
      <category>Architecture</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 29 Sep 2026 06:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-python-workers-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-29T06:33:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-python-workers-ga/en</dc:identifier>
    </item>
    <item>
      <title>Artifactory Vulnerabilities under Active Exploitation Enable Authentication Bypass and Admin Access</title>
      <link>https://www.infoq.com/news/2026/09/artifactory-vulnerabilities/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/artifactory-vulnerabilities/en/headerimage/secretflow-privacy-preserving-1790621168767.jpg"/&gt;&lt;p&gt;Three Artifactory vulnerabilities under active exploitation enable authentication bypassing on Internet-accessible, self-hosted deployments, potentially allowing attackers to establish persistent administrator access in under five minutes. The exploits then enable dangerous activity, including credential and key theft, arbitrary code execution, persistence, and anti-forensics measures.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Security Vulnerabilities</category>
      <category>Software Supply Chain</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/artifactory-vulnerabilities/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-28T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/artifactory-vulnerabilities/en</dc:identifier>
    </item>
    <item>
      <title>Uber Separates Scaling Intent from Execution on Kubernetes Platform</title>
      <link>https://www.infoq.com/news/2026/09/uber-kubernetes-scaling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/uber-kubernetes-scaling/en/headerimage/generatedHeaderImage-1790360989750.jpg"/&gt;&lt;p&gt;Uber has published a detailed account of its new ServiceScale controller, which allows multiple orchestrators to safely manage the scaling of the same Kubernetes workloads. The blog post, written by senior software engineers Egor Grishechko and Srikar Paruchuru, describes how the company separated scaling intent from execution to support regional failover without carrying reserved idle capacity.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Scaling</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/uber-kubernetes-scaling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-09-28T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/uber-kubernetes-scaling/en</dc:identifier>
    </item>
    <item>
      <title>GKE Pod Snapshots Cut Model Load Times, and Move the Work to Snapshot Lifecycle Management</title>
      <link>https://www.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/en/headerimage/generatedHeaderImage-1790233005037.jpg"/&gt;&lt;p&gt;Google has published benchmarks for GKE Pod snapshots, reporting up to 89% lower startup latency and a 70B model loading in 37 seconds. The feature checkpoints CPU and GPU memory through gVisor into Cloud Storage. Practitioners have asked whether invalidation is the harder problem, since snapshots match on a spec hash, machine series, and kernel and driver versions.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Containers</category>
      <category>Performance</category>
      <category>Kubernetes</category>
      <category>Google Cloud</category>
      <category>Architecture</category>
      <category>Machine Learning</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 27 Sep 2026 06:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-27T06:46:00Z</dc:date>
      <dc:identifier>/news/2026/09/gke-pod-snapshots-benchmarks/en</dc:identifier>
    </item>
    <item>
      <title>Docker Cloud Sandboxes Provide a Consistent Sandbox Abstraction across Laptop and Cloud</title>
      <link>https://www.infoq.com/news/2026/09/docker-cloud-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/docker-cloud-sandboxes/en/headerimage/dreamer-4-mincraft-agent-1790438799314.jpeg"/&gt;&lt;p&gt;Docker Cloud Sandboxes provide secure, hosted execution environments for running AI coding agents on Docker-managed infrastructure. Built on hardware-enforced microVM isolation, the platform provides a consistent execution environment and unified CLI workflows for seamlessly moving workloads from local machines to the cloud.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>AI Security</category>
      <category>Containers</category>
      <category>Docker</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 26 Sep 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/docker-cloud-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-26T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/docker-cloud-sandboxes/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Details its Migration  to "WordPress Successor" EmDash</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-emdash-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/cloudflare-emdash-migration/en/headerimage/generatedHeaderImage-1788551109664.jpg"/&gt;&lt;p&gt;Cloudflare recently documented the migration of its main blog from WordPress to EmDash, the open source content management system developed internally. The new platform is designed to improve performance and caching, and it was tested to handle traffic of up to 7000 requests per second.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>WordPress</category>
      <category>Caching</category>
      <category>migration</category>
      <category>Cloudflare</category>
      <category>Portal/CMS</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 26 Sep 2026 09:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-emdash-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-09-26T09:38:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-emdash-migration/en</dc:identifier>
    </item>
    <item>
      <title>Grafana Turns Cypress Test Results into Persistent Observability Data</title>
      <link>https://www.infoq.com/news/2026/09/grafana-cypress-observability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/grafana-cypress-observability/en/headerimage/generatedHeaderImage-1789545205777.jpg"/&gt;&lt;p&gt;Grafana Labs has published a practical approach for monitoring Cypress test suites by converting test results into Prometheus metrics and sending them to Grafana Cloud.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Automated testing</category>
      <category>Grafana</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/grafana-cypress-observability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-09-25T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/grafana-cypress-observability/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Spritely: Infrastructure for the Future of the Internet</title>
      <link>https://www.infoq.com/presentations/spritely-decentralized-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spritely-decentralized-architecture/en/mediumimage/cd-medium-1789633126216.jpg"/&gt;&lt;p&gt;Christine Lemmer-Webber and David Thompson explain how Spritely's architecture solves core decentralization challenges. They share insights on capability-based access control with Goblins, actor-model communication via OCapN, and petname systems. Discover how Spritely leverages Scheme, WebAssembly (Hoot), and local-first CRDTs to build secure, peer-to-peer applications without central servers.&lt;/p&gt; &lt;i&gt;By Christine Lemmer-Webber, David Thompson&lt;/i&gt;</description>
      <category>WebAssembly</category>
      <category>P2P</category>
      <category>CRDT</category>
      <category>Local First</category>
      <category>QCon London 2026</category>
      <category>Actor Model</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Fri, 25 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spritely-decentralized-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Christine Lemmer-Webber, David Thompson</dc:creator>
      <dc:date>2026-09-25T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spritely-decentralized-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Un-Mused: How a Single Debug Setting Bypassed macOS Security in Meta’s AI Client</title>
      <link>https://www.infoq.com/news/2026/09/meta-muse-zeroday/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/meta-muse-zeroday/en/headerimage/generatedHeaderImage-1790224330638.jpg"/&gt;&lt;p&gt;Security researcher Patrick Wardle revealed an unpatched zero-day vulnerability in Meta's Muse desktop client for macOS. This flaw lets unprivileged software manipulate the assistant's extensive permissions, compromising input confidentiality and account security. Despite a hotfix from Meta, the vulnerability raises significant concerns about platform trust and security boundaries.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Large language models</category>
      <category>Zero Day Vulnerability</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 24 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/meta-muse-zeroday/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-24T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/meta-muse-zeroday/en</dc:identifier>
    </item>
    <item>
      <title>Beyond Kubernetes at Modal: How to Scale 1 Million Concurrent Sandboxes in Seconds</title>
      <link>https://www.infoq.com/news/2026/09/modal-scaling-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/modal-scaling-sandboxes/en/headerimage/agent-sandbox-kubernetes-1790170874561.jpeg"/&gt;&lt;p&gt;In a recent article, Colin Weld and Connor Adams, staff engineers at Modal, describe how they rebuilt their sandbox infrastructure from the ground up to support millions of concurrent sandboxes and tens of thousands of sandbox creations per second.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Agents</category>
      <category>Performance &amp; Scalability</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/modal-scaling-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-23T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/modal-scaling-sandboxes/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: APIs for Agents: Rethinking API Programs in the MCP Era</title>
      <link>https://www.infoq.com/presentations/mcp-calm-api-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</link>
      <description>&lt;img src="https://res.infoq.com/presentations/mcp-calm-api-architecture/en/mediumimage/jim-gough-andreea-niculcea-medium-1789021410351.jpg"/&gt;&lt;p&gt;Jim Gough and Andreea Niculcea explain how Morgan Stanley uses Architecture as Code with CALM to modernize its API program. They demonstrate integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communications, enforcing automated governance through deployment gates, and executing zero-downtime platform upgrades to safely scale enterprise AI and agentic workflows.&lt;/p&gt; &lt;i&gt;By Jim Gough, Andreea Niculcea&lt;/i&gt;</description>
      <category>Enterprise Architecture</category>
      <category>QCon London 2026</category>
      <category>Deployment</category>
      <category>Platform Engineering</category>
      <category>Compliance</category>
      <category>Agent2Agent</category>
      <category>API</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Governance</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 23 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mcp-calm-api-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=DevOps</guid>
      <dc:creator>Jim Gough, Andreea Niculcea</dc:creator>
      <dc:date>2026-09-23T11:00:00Z</dc:date>
      <dc:identifier>/presentations/mcp-calm-api-architecture/en</dc:identifier>
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