Into The Depths of Kubernetes: Multi-Tenancy Part 2

<p>This article was originally published on <a href="https://learnkube.com/kubernetes-metrics-cadvisor-kubelet-cri" rel="noopener noreferrer">LearnKube</a></p> <p><em>TL;DR: This

<p>The CNCF flagged it three days ago. Most teams haven't processed what it actually means.</p> <p>Kubernetes lacks built-in mechanisms to enforce application-level or semantic

<p><strong>Memory is easy. CPU humbled me.</strong></p> <p>With memory, the rule is brutal but clear — cross the limit, the pod gets OOMKilled. Done.</p> <p>CPU? CPU is sneaky.

<h2> The Real Cost of One-Size-Fits-All Resource Allocation </h2> <p>You're running a machine learning training job in Kubernetes. Your main container needs exclusive CPU cores,

<p>So, like when you type:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>kubectl apply <span class="nt">-f</span> pod.yaml </code></pre>

<p>At 19:42 UTC on March 14, 2024, our video streaming service serving 4.2 million concurrent viewers lost 92% of traffic in 11 minutes, triggered by a single Kubernetes 1.32 node

<p>Your pods keep getting killed. Not crashing — killed. One moment they're running fine, the next they're gone and Kubernetes is spinning up replacements. You check the logs and

<p>If you have already explored <a href="https://bibekkakati.com/blog/docker-explained-containers-and-architecture" rel="noopener noreferrer">Docker</a>, you know how convenient