With a strong reliance on research software projects in both industry and for scientific simulations, research software sustainability is increasingly becoming a major point of contention. A necessary but nonsufficient aspect of software sustainability is Continuous Integration and Benchmarking (CI/CB/Cx). In this talk, we will showcase the Cx practices of the Ginkgo numerical linear algebra framework, which was designed with unit testing, good software design techniques as well as Cx practices as centerpieces. Because of HPC software constraints, access to HPC clusters for both CI and CB are essential to ensure correctness. We will show our configurable solution for running Cx on HPC clusters implemented thanks to a custom GitLab runner, and relying on the enroot container technology and SLURM. The talk has been held as part of the HiRSE Seminar Series.