| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 07032 | |
| Number of page(s) | 5 | |
| Section | T7 - Clouds, virtualisation & containers | |
| DOI | https://doi.org/10.1051/epjconf/201921407032 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921407032
CVMFS: Stratum 0 in Kubernetes
Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison,
222 W Washington Ave, Suite 500,
Madison WI 53703,
USA
* Corresponding author: david.schultz@icecube.wisc.edu
Published online: 17 September 2019
IceCube is a cubic kilometer neutrino detector located at the south pole. CVMFS is a key component to IceCube’s Distributed High Throughput Computing analytics workflow for sharing 500GB of software across datacenters worldwide. Building the IceCube software suite across multiple platforms and deploying it into CVMFS has until recently been a manual, time consuming task that doesn’t fit well within an agile continuous delivery framework. Within the last 2 years a plethora of tooling around microservices has created an opportunity to upgrade the IceCube software build and deploy pipeline. We present a framework using Kubernetes to deploy Buildbot. The Buildbot pipeline is a set of pods (docker containers) in the Kubernetes cluster that builds the IceCube software across multiple platforms, tests the new software for critical errors, syncs the software to a containerized CVMFS server, and finally executes a publish. The time from code commit to CVMFS publish has been greatly reduced and has enabled the capability of publishing nightly builds to CVMFS.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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