~/lightning

Lightning Talk: Does Cloud Elasticity Pay off for HPC Workloads?

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Ortec Finance moves HPC from on‑prem to managed OpenShift on AWS/Azure and assembles an open‑source stack that actually works: KEDA and Knative for bursty HTTP-to-job plumbing, Prometheus + Argo CD + ActiveMQ for ops, and templated job definitions. Queue-backed task runners reboot failed work and scale to zero. Empirical results: 1500 CPUs in ~20 minutes, Azure spot runs for ~20 minutes cost ~€6, while individual node provisioning averages ~4 minutes.

AI-written summary · about

  1. 0:00Introduction
  2. 1:24Our journey so far
  3. 2:48Whats under the hood
  4. 4:15How it works
  5. 5:58How in a managed context
  6. 6:53Conclusion
  7. 8:39Where to learn more
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