Since becoming part of NetApp, we have increasingly been asked by customers how Spot’s optimization technology could be extended to their cloud storage resources to help them use storage more efficiently, reducing costs and eliminating waste.

Jupyter Notebook is a web-based interactive computational environment for creating notebook documents. It supports programming languages – such as Python, Scala, R – and is largely used for data engineering, data analysis, machine learning, and further interactive, exploratory computing. Think of notebooks like a developer console or terminal, but with an intuitive UI that allows for efficient iteration, debugging or exploration.

When Apache Spark introduced native support for Kubernetes it was a game changer for big data. Speed, scale and flexibility are now at the fingertips of data teams—-if they can master Kubernetes. It’s an uphill climb for even experienced DevOps teams. At Spot by NetApp, we’ve seen first-hand the challenges that companies are facing as they navigate the complexities of operating large-scale Kubernetes applications.