<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kubernetes on Onoe's Portfolio</title><link>https://www.onoe.dev/en/tags/kubernetes/</link><description>Recent content in Kubernetes on Onoe's Portfolio</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 31 Mar 2025 23:00:00 +0900</lastBuildDate><atom:link href="https://www.onoe.dev/en/tags/kubernetes/index.xml" rel="self" type="application/rss+xml"/><item><title>Running RDMA in Containers on Kubernetes and Benchmarking Performance</title><link>https://www.onoe.dev/en/blog/rdma-container/</link><pubDate>Mon, 31 Mar 2025 23:00:00 +0900</pubDate><guid>https://www.onoe.dev/en/blog/rdma-container/</guid><description>&lt;p&gt;I got RDMA working in containers on Kubernetes using SR-IOV, so I&amp;rsquo;m documenting the process including the issues I ran into.
I also benchmarked the performance of RDMA vs TCP/IP.&lt;/p&gt;</description></item><item><title>Building a Home VM Infrastructure with KubeVirt</title><link>https://www.onoe.dev/en/blog/kubevirt/</link><pubDate>Sat, 15 Jun 2024 17:00:00 +0900</pubDate><guid>https://www.onoe.dev/en/blog/kubevirt/</guid><description>&lt;p&gt;&lt;a href="https://kubevirt.io/"&gt;KubeVirt&lt;/a&gt; is a tool for managing VM infrastructure. With KubeVirt, you can manage VMs on Kubernetes in the same way as containers. I tried KubeVirt to easily spin up VMs at home, so I&amp;rsquo;ll share the method and my impressions.&lt;/p&gt;</description></item><item><title>Paper Reviews: Container Overlay Networks</title><link>https://www.onoe.dev/en/blog/paper-reading-3/</link><pubDate>Wed, 31 May 2023 22:11:46 +0900</pubDate><guid>https://www.onoe.dev/en/blog/paper-reading-3/</guid><description>&lt;p&gt;The streak was broken over Golden Week. Things settled down in the latter half of May, so I&amp;rsquo;m resuming.
Related to lower-layer tracing, I&amp;rsquo;ll introduce papers on container overlay networks using eBPF.&lt;/p&gt;</description></item><item><title>Paper Reviews: Distributed Tracing &amp; Borg</title><link>https://www.onoe.dev/en/blog/paper-reading-1/</link><pubDate>Sat, 29 Apr 2023 17:14:46 +0900</pubDate><guid>https://www.onoe.dev/en/blog/paper-reading-1/</guid><description>&lt;p&gt;Inspired by &lt;a href="https://joisino.hatenablog.com/"&gt;https://joisino.hatenablog.com/&lt;/a&gt;, I decided to try reading papers every day as much as possible.
To help maintain the habit, I&amp;rsquo;m publishing excerpts from my paper notes along with my thoughts.
To start, I&amp;rsquo;ll introduce some well-known papers in the distributed tracing field, which is related to my own research, along with papers from the recently held NSDI'23, and the Borg paper from Google, which Kubernetes is based on.&lt;/p&gt;</description></item><item><title>Review: 'Kubernetes Complete Guide, 2nd Edition' (Kubernetes完全ガイド 第2版)</title><link>https://www.onoe.dev/en/blog/review-k8s-perfect-guide/</link><pubDate>Sat, 04 Feb 2023 10:29:35 +0900</pubDate><guid>https://www.onoe.dev/en/blog/review-k8s-perfect-guide/</guid><description>&lt;p&gt;I received this book about a year ago, but I finally made time to read it, so here is my review. Since it is a reference-style book, I picked and chose only the topics I was less familiar with.&lt;/p&gt;</description></item></channel></rss>