Autoscaling in Kubernetes: A Summary of Marcin Wielgus' Talk

content/en/blog/_posts/2017-11-00-Autoscaling-In-Kubernetes.md

e6a5562393e731dc6f0d23086172402e3e2201e5693f3cab0000000300000481

---
title: "Autoscaling in Kubernetes"
date: 2017-11-17
slug: autoscaling-in-kubernetes
url: /blog/2017/11/Autoscaling-In-Kubernetes
---

Kubernetes allows developers to automatically adjust cluster sizes and the number of
pod replicas based on current traffic and load. These adjustments reduce the amount of
unused nodes, saving money and resources. In this talk, Marcin Wielgus of Google walks
you through the current state of pod and node autoscaling in Kubernetes: how it works,
and how to use it, including best practices for deployments in production applications.

{{< youtube id="m3Ma3G14dJ0" title=" Autoscaling in Kubernetes [I] - Marcin Wielgus, Google" >}}  

Enjoyed this talk? Join us for more exciting sessions on scaling and automating your
Kubernetes clusters at KubeCon in Austin on December 6-8.
<del><a href="https://www.eventbrite.com/e/kubecon-cloudnativecon-north-america-registration-37824050754">Register now</a>.</del>

Be sure to check out [Automating and Testing Production Ready Kubernetes Clusters in the Public Cloud](http://sched.co/CU64) by Ron Lipke, Senior Developer, Platform as a Service, Gannet/USA Today Network.

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Title: Autoscaling in Kubernetes: A Summary of Marcin Wielgus' Talk

Summary

This blog post summarizes a talk by Marcin Wielgus of Google on autoscaling in Kubernetes. Kubernetes allows for automatic adjustment of cluster sizes and pod replicas based on traffic and load, which can save resources. The talk covers how autoscaling works, how to use it, and best practices for production deployments. The post also promotes KubeCon and another talk on automating and testing Kubernetes clusters.