<hr />
<p>number: ‘21’
layout: ‘adi_humanintelligence’
title: ‘Optimizing Kubernetes with Machine Learning’
date: ‘20250226’
host: Alessandro Franceschi
youtube: ‘e0qK8s0nvNc’
guest:</p>
<ul>
  <li>Yasmin Rajabi
tags:</li>
  <li>kubernetes</li>
  <li>DevOps</li>
  <li>MachineLearning</li>
  <li>CloudNative</li>
  <li>AI</li>
  <li>InfrastructureAutomation</li>
  <li>StormForge</li>
  <li>CloudOptimization</li>
  <li>TechTalk</li>
  <li>AIOps</li>
  <li>KubeCon</li>
  <li>Containerization</li>
  <li>FinOps</li>
  <li>TechInnovation
summary: “The evolution of Kubernetes optimization, automation, and the integration of machine learning in enhancing infrastructure efficiency.”
quotes:</li>
  <li>“The journey of automation should build user confidence and provide guardrails for safe deployment.”</li>
  <li>“Every workload is treated as a snowflake, ensuring tailored recommendations for optimal resource usage.”</li>
  <li>“Fifty to eighty percent resource savings are achievable through effective optimization, targeting the prevalent over-provisioning issue.”</li>
  <li>“The ultimate goal of software is to make lives easier, allowing individuals to spend more time with their families.”
```
In this episode of Abnormal DevOps Iterations, we sit down with Yasmin Rajabi, the COO of StormForge, a company specializing in Kubernetes optimization.</li>
</ul>

<p>Yasmin shares her journey from Puppet to StormForge, discussing how her team uses machine learning to automate and optimize Kubernetes configurations.
She dives into the challenges of Kubernetes resource management, the importance of automation, and how StormForge helps organizations reduce waste and improve efficiency. Yasmin also shares her thoughts on the future of Kubernetes, AI-driven infrastructure, and the evolving role of DevOps in the enterprise.</p>

<p>Whether you’re a Kubernetes expert or just getting started, this conversation offers valuable insights into the world of cloud-native technologies and the future of infrastructure automation.</p>