Infrastructure, Kubernetes and Cloud Native Some ideas of things to cover: * Deployment tools * Monitoring (of applications and infrastructure) * Policy enforcement / OPA? * Usage tracking / accounting * Workload scheduling? Need to schedule along data? * Typical workloads… batch, interactive jobs? Any custom tooling? * Any workloads not fitting Kubernetes? Other tooling being used?

Machine Learning Some ideas of things to cover: * Use Cases and Algorithms Used * Typical workflow from quick analysis to distributed / large scale training to serving * Tools and Infrastructure Luigi? https://github.com/spotify/luigi Kubeflow? * GPUs? TPUs?

Public Cloud Some ideas of things to cover: * Experiences and challenges running on public cloud * Reasons to move out of on-premises, any thoughts 3 years passed? * High Level Services vs Your Own * Managed Kubernetes? Relying on high level ML services from GCP? * Single cloud provider (GCP)? Considering multi cloud?

Data and Databases Some ideas of things to cover: * Data Needs and Tools Used * Data distribution / bookkeeping around regions Any optimizations for cost reduction * Databases Do you have NoSQL databases? If so, what are the use-cases? How are they deployed/maintained? Do you have use-cases for relational databases / NewSQL?

Computing Seminar

Backup Session, Open Discussion