<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Docker on Technical Notes</title><link>http://luispa.com/en/tags/docker/</link><description>Recent content in Docker on Technical Notes</description><generator>Hugo -- 0.148.0</generator><language>en-US</language><lastBuildDate>Sun, 22 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://luispa.com/en/tags/docker/index.xml" rel="self" type="application/rss+xml"/><item><title>Limiting Hugging Face Bandwidth</title><link>http://luispa.com/en/posts/2026-02-22-limitar-hf/</link><pubDate>Sun, 22 Feb 2026 00:00:00 +0000</pubDate><guid>http://luispa.com/en/posts/2026-02-22-limitar-hf/</guid><description>&lt;img src="http://luispa.com/img/posts/logo-shaping.svg" alt="Bandwidth Limiting Logo" width="150px" height="150px" style="float:left; padding-right:25px" />
&lt;p>Downloading LLM models locally is something you do occasionally, but when you pull a massive 122B parameter model like &lt;code>Sehyo/Qwen3.5-122B-A10B-NVFP4&lt;/code>, the download hogs the entire connection and leaves the rest of the household without internet. The Hugging Face CLI (&lt;code>huggingface-cli&lt;/code> or &lt;code>hf&lt;/code>) doesn&amp;rsquo;t have a &lt;code>--limit-rate&lt;/code> flag, so you need to find alternatives. In this post I explain two ways to limit bandwidth on Linux using Docker (my preferred method) or Wondershaper at the host level.&lt;/p>
&lt;br clear="left"/></description></item><item><title>Kubernetes 101</title><link>http://luispa.com/en/posts/2025-10-26-k8s-101/</link><pubDate>Sun, 26 Oct 2025 00:00:00 +0000</pubDate><guid>http://luispa.com/en/posts/2025-10-26-k8s-101/</guid><description>&lt;img src="http://luispa.com/img/posts/logo-k8s.svg" alt="kubernetes logo" width="150px" height="150px" style="float:left; padding-right:25px" />
&lt;p>&lt;a href="https://kubernetes.io/">Kubernetes&lt;/a> (K8s) is an open-source platform for automating the deployment, scaling, and management of containerized applications. It was built to work with Docker and depending on who you talk to, they&amp;rsquo;ll either say it&amp;rsquo;s hell or a piece of cake. The truth? If you&amp;rsquo;ve struggled with infrastructure (servers, networks), logged many hours with Linux, Docker and containers, it might not be that hellish and it&amp;rsquo;ll depend on how many hours you put in.&lt;/p>
&lt;p>Like most of my posts, this is based on documenting my Home Lab, with hours of testing, things that stop working when you least expect it. But the good thing is you learn a ton and, if you&amp;rsquo;re a bit of a geek, you even have fun. Here&amp;rsquo;s my experience, with tricks, mistakes and everything I wish I&amp;rsquo;d known before starting.&lt;/p>
&lt;br clear="left"/></description></item><item><title>Connecting HASS with Node-RED</title><link>http://luispa.com/en/posts/2022-10-02-nodered-hass/</link><pubDate>Sun, 02 Oct 2022 00:00:00 +0000</pubDate><guid>http://luispa.com/en/posts/2022-10-02-nodered-hass/</guid><description>&lt;img src="http://luispa.com/img/posts/logo-nodered-hass.svg" alt="Node-RED logo" width="150px" style="float:left; padding-right:25px" />
&lt;p>I explain how I connected Node-RED with my Home Assistant (HASS), considering that they run on separate servers. They are deployed on different virtual machines, to allow independent maintenance and improve their performance.&lt;/p>
&lt;p>For your reference, I created another post &lt;a href="http://luispa.com/en/posts/2022-10-01-nodered-docker/">here&lt;/a> where I describe the Node-RED installation using Alpine and Docker underneath, running as a virtual machine on my KVM server.&lt;/p>
&lt;br clear="left"/></description></item><item><title>Node-RED on Docker</title><link>http://luispa.com/en/posts/2022-10-01-nodered-docker/</link><pubDate>Sat, 01 Oct 2022 00:00:00 +0000</pubDate><guid>http://luispa.com/en/posts/2022-10-01-nodered-docker/</guid><description>&lt;img src="http://luispa.com/img/posts/logo-nodered.svg" alt="Node-RED logo" width="150px" style="float:left; padding-right:25px" />
&lt;p>Node-RED is a programming tool that allows you to connect hardware devices, APIs, and cloud services through creative workflows. Everything is done from the browser, and it supports dozens of built-in and third-party nodes.&lt;/p>
&lt;p>Here I&amp;rsquo;ll explain the installation process, on a virtual machine with Alpine and Docker underneath. If you&amp;rsquo;re interested, I have another post describing how I &lt;a href="http://luispa.com/en/posts/2022-10-02-nodered-hass/">integrate it with my &lt;em>Home Assistant&lt;/em>&lt;/a>.&lt;/p>
&lt;br clear="left"/></description></item><item><title>Alpine for Running Containers</title><link>http://luispa.com/en/posts/2022-03-20-alpine-docker/</link><pubDate>Sun, 20 Mar 2022 00:00:00 +0000</pubDate><guid>http://luispa.com/en/posts/2022-03-20-alpine-docker/</guid><description>&lt;img src="http://luispa.com/img/posts/logo-docker-a.svg" alt="Docker logo" width="150px" style="float:left; padding-right:25px" />
&lt;p>In this post I describe how to install Alpine Linux in a virtual machine on my QEMU/KVM server and how to install Docker on it. I needed, for proof-of-concept and home services, the ability to run containers on a Docker host that takes up &amp;ldquo;very little&amp;rdquo; space. Can you install a Docker Host on top of a Virtual Machine? The answer is a resounding yes — in fact, it&amp;rsquo;s an excellent place to do so, especially in lab environments, home setups, and small deployments.&lt;/p>
&lt;br clear="left"/></description></item><item><title>My First Steps with Docker</title><link>http://luispa.com/en/posts/2014-11-01-inicio-docker/</link><pubDate>Sat, 01 Nov 2014 00:00:00 +0000</pubDate><guid>http://luispa.com/en/posts/2014-11-01-inicio-docker/</guid><description>&lt;img src="http://luispa.com/img/posts/logo-microservices1.svg" alt="microservices logo" width="150px" height="150px" style="float:left; padding-right:25px" />
&lt;p>From what I understood, it&amp;rsquo;s a tool that allows you to package &amp;ldquo;Linux applications and all their dependencies&amp;rdquo; into a self-contained virtual container (something like sandboxes). That doesn&amp;rsquo;t tell us much, but what if I tell you that you can run your Linux applications (thanks to the Docker daemon) always in the same way on any platform? (for example Windows or macOS by using a super lightweight virtual machine, VirtualBox-style). Now that&amp;rsquo;s cool.&lt;/p>
&lt;br clear="left"/></description></item></channel></rss>