HPC, Big Data & Data Science

Zero‑Touch HPC Nodes: NetBox, Tofu and Packer for a Self‑Configuring SLURM Cluster

<p>Over the last five years, we ran an HPC system for life sciences on top of OpenStack, with a deployment pipeline built from Ansible, manual steps (see <a href="https://archive.fosdem.org/2020/schedule/event/hpc_openstack/">FOSDEM 2020 talk</a>). It worked—but it wasn’t something we could easily rebuild from scratch or apply consistently to other parts of our infrastructure.</p> <p>As we designed our new HPC system (coming online in early 2026), we set ourselves a goal: treat the cluster as something we can declare and then recreate, not pet and nurture. The result is a “zero‑touch” style pipeline where a new node can go from “just racked” to “in SLURM and running jobs” with no manual intervention.</p> <p>In this talk, we walk through the end‑to‑end workflow:</p> <ul> <li>NetBox as DCIM and source of truth: racking a server and adding it to NetBox is the trigger; MACs, serials and IPs are automatically imported from vendor tools and IPAM/DNS into our automation.</li> <li>Using Tofu/Terragrunt (instead of Openstack's Heat orchestration service) to provision OpenStack/Ironic, SLURM infrastructure and network fabric across three environments (dev plus two interchangeable prod clusters for blue/green rollouts).</li> <li>Image‑based deployment with Packer and Ansible: we split roles into “install” and “configure”. Packages and heavy setup are baked into images, while an ansible-init service runs locally on first boot to apply configuration and join the cluster.</li> <li>Making nodes self‑sufficient, including fetching the secrets they need via short‑lived credentials and a minimal external dependency chain.</li> </ul> <p>Come and see how we built a reproducible HPC/Big-Data cluster on open‑source tooling, reusing as much of the stack as possible for the rest of our infrastructure.</p>

Additional information

Live Stream https://live.fosdem.org/watch/h1308
Type devroom
Language English

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