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      <title>Alek&#x27;s Blog - autoscaling</title>
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      <description>Production notes on Kubernetes, OpenShift, and OVHcloud: observability, log archiving, service mesh, LLM inference, and digital sovereignty.</description>
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          <title>LLM Inference on OVH MKS: Prometheus, Grafana, and KEDA</title>
          <pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-06-02-llm-inference-on-ovh-observability/</link>
          <guid>https://blog.none.at/blog/2026/2026-06-02-llm-inference-on-ovh-observability/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-06-02-llm-inference-on-ovh-observability/">&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;blog.none.at&#x2F;blog&#x2F;2026&#x2F;2026-06-02-llm-inference-on-ovh-introduction&#x2F;&quot;&gt;Part 1&lt;&#x2F;a&gt; covered the architecture and use cases.
&lt;a href=&quot;https:&#x2F;&#x2F;blog.none.at&#x2F;blog&#x2F;2026&#x2F;2026-06-02-llm-inference-on-ovh-deployment&#x2F;&quot;&gt;Part 2&lt;&#x2F;a&gt; walked through Terraform and Ansible.
&lt;a href=&quot;https:&#x2F;&#x2F;blog.none.at&#x2F;blog&#x2F;2026&#x2F;2026-06-02-llm-inference-on-ovh-serving&#x2F;&quot;&gt;Part 3&lt;&#x2F;a&gt; covered models and the OpenAI API.
This part adds observability (Prometheus + Grafana) and scale-to-zero autoscaling via KEDA.&lt;&#x2F;p&gt;</description>
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