<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Orchestration |</title><link>https://georgheiler.com/tags/data-orchestration/</link><atom:link href="https://georgheiler.com/tags/data-orchestration/index.xml" rel="self" type="application/rss+xml"/><description>Data-Orchestration</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 16 Jul 2026 14:35:00 +0000</lastBuildDate><image><url>https://georgheiler.com/media/icon_hu_2b4e40339850646.png</url><title>Data-Orchestration</title><link>https://georgheiler.com/tags/data-orchestration/</link></image><item><title>Dagster-slurm: Bringing Modern Data Orchestration to Slurm-Managed</title><link>https://georgheiler.com/event/dagster-slurm-bringing-modern-data-orchestration-to-slurm-managed/</link><pubDate>Thu, 16 Jul 2026 14:35:00 +0000</pubDate><guid>https://georgheiler.com/event/dagster-slurm-bringing-modern-data-orchestration-to-slurm-managed/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;dagster-slurm is an open-source Python integration that allows data scientists and research software engineers to run Dagster pipeline assets on both a laptop and Slurm-managed HPC supercomputers without making any code changes. It automatically handles SSH transport, environment packaging via pixi-pack, and Slurm job submission, while streaming logs and scheduler metrics back to the Dagster UI in real time.&lt;/p&gt;
&lt;p&gt;The talk covers the full workflow, from local development to staging and production deployment on a real HPC cluster, using a live demo with a self-contained Docker Compose environment. It has been validated on VSC-5 in Austria and CINECA Leonardo in Italy.&lt;/p&gt;
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