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    <title>InfoQ - Kubernetes - News</title>
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    <description>InfoQ Kubernetes News feed</description>
    <item>
      <title>OpenTelemetry Makes Kubernetes Attributes Processor Stable as Observability Schema Matures</title>
      <link>https://www.infoq.com/news/2026/10/opentelemetry-kubernetes-observ/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/opentelemetry-kubernetes-observ/en/headerimage/generatedHeaderImage-1790835749063.jpg"/&gt;&lt;p&gt;OpenTelemetry has promoted its Kubernetes Attributes Processor to v1.0.0, marking a significant step in making Kubernetes telemetry more predictable and stable across observability pipelines.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>OpenTelemetry</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 06 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/opentelemetry-kubernetes-observ/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-10-06T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/opentelemetry-kubernetes-observ/en</dc:identifier>
    </item>
    <item>
      <title>Istio 1.31 Adds Agentgateway Waypoints and Moves Release Artifacts off Google Cloud</title>
      <link>https://www.infoq.com/news/2026/10/istio-1-31-agentgateway/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/istio-1-31-agentgateway/en/headerimage/header-1790887193946.jpeg"/&gt;&lt;p&gt;Istio 1.31 adds agentgateway waypoints in ambient mode, with a canary configuration fix included in 1.31.1. It also ends the publication of images and Helm charts to Google Cloud, requiring repository migration ahead of the 13 October outage test and signing-key updates for teams verifying images.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Cloud Native Computing Foundation</category>
      <category>Service Mesh</category>
      <category>Istio</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 03 Oct 2026 08:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/istio-1-31-agentgateway/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-10-03T08:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/istio-1-31-agentgateway/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=Kubernetes-news</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>Metrics</category>
      <category>Adobe</category>
      <category>Kubernetes</category>
      <category>GPU</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=Kubernetes-news</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>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=Kubernetes-news</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=Kubernetes-news</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=Kubernetes-news</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>Google Cloud</category>
      <category>Cloud</category>
      <category>Machine Learning</category>
      <category>Containers</category>
      <category>Performance</category>
      <category>Kubernetes</category>
      <category>Architecture</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=Kubernetes-news</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>
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