<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>HPA on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/hpa/</link><description>Recent content in HPA on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Thu, 08 Jun 2023 00:00:00 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/hpa/atom.xml" rel="self" type="application/rss+xml"/><item><title>How to Set HPA for Kubernetes Applications and the Related Parameters</title><link>https://www.chenshaowen.com/en/blog/how-to-set-hpa-for-kubernetes-app.html</link><pubDate>Thu, 08 Jun 2023 00:00:00 +0000</pubDate><atom:modified>Thu, 08 Jun 2023 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/how-to-set-hpa-for-kubernetes-app.html</guid><description>1. Business Background Once an enterprise reaches a certain scale, relying entirely on public cloud infrastructure makes IT costs very high.
The cost of purchasing physical machines can be amortized over the next 3 to 5 years, and afterwards the machines are not scrapped; instead they continue to serve beyond their planned lifespan.</description><dc:creator>微信公众号</dc:creator><category>Kubernetes</category><category>HPA</category><category>Pod</category><category>Elastic Scaling</category><category>Operations</category><category>Hybrid Cloud</category><category>Learning</category></item><item><title>Autoscaling Kubernetes Applications with KEDA</title><link>https://www.chenshaowen.com/en/blog/autoscale-kubernetes-applications-with-keda.html</link><pubDate>Thu, 18 May 2023 00:00:00 +0000</pubDate><atom:modified>Thu, 18 May 2023 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/autoscale-kubernetes-applications-with-keda.html</guid><description>1. HPA VS KEDA HPA also provides:
Elasticity based on custom metrics Scale to Zero Compared with KEDA, these are no longer disadvantages.
The real difference is that HPA can only scale using monitoring data, whereas KEDA can scale using many more data sources — queue messages, databases, Redis, and so on, including monitoring data as well.</description><dc:creator>微信公众号</dc:creator><category>Kubernetes</category><category>KEDA</category><category>Autoscaling</category><category>Elastic Scaling</category><category>Operations</category><category>Learning</category><category>HPA</category><category>Event-Driven</category></item></channel></rss>