<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Containers on The Augmented Scholar</title><link>https://augmentedscholars.com/tags/containers/</link><description>Recent content in Containers on The Augmented Scholar</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 16:33:26 +0400</lastBuildDate><atom:link href="https://augmentedscholars.com/tags/containers/index.xml" rel="self" type="application/rss+xml"/><item><title>Docker — Containers for Reproducibility</title><link>https://augmentedscholars.com/tools/docker/</link><pubDate>Fri, 17 Jul 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/tools/docker/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Docker freezes your environment — OS libraries, Python version, every dependency — into an image that runs identically on any machine. For computational research, a Dockerfile published beside your paper is the difference between &amp;lsquo;should reproduce&amp;rsquo; and &amp;lsquo;reproduces&amp;rsquo;.&lt;/p&gt;</description></item><item><title>Apptainer — Containers That Clusters Allow</title><link>https://augmentedscholars.com/tools/apptainer/</link><pubDate>Fri, 17 Jul 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/tools/apptainer/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Apptainer solves Docker&amp;rsquo;s fatal flaw on shared systems: it runs without root, so cluster admins actually allow it. Images are single .sif files you can copy to any HPC system, and it converts Docker images directly — build anywhere, run on the cluster.&lt;/p&gt;</description></item><item><title>Nextflow — Pipelines Built for Scale</title><link>https://augmentedscholars.com/tools/nextflow/</link><pubDate>Fri, 17 Jul 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/tools/nextflow/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Nextflow expresses pipelines as dataflow between processes, each optionally running in its own container, with executors for SLURM, Kubernetes, and every major cloud. Its ace is nf-core: community-curated production pipelines (RNA-seq, variant calling, and 100+ more) you can run rather than rewrite.&lt;/p&gt;</description></item></channel></rss>