Developers and data scientists are always trying to optimize their infrastructure’s usage and accelerate deployments of their applications. In this respect, NetApp DataOps Toolkit is an excellent resource for quickly deploying and managing JupyterLab Notebook workspaces in conjunction with Astra Control Center that provides organizations the ability to cloud burst their on prem Kubernetes applications to the cloud with ease.
Astra Control Center software provides application-aware data management of Kubernetes clusters in your on-premises environment. Astra Control enables data protection, disaster recovery, and migration for your Kubernetes workloads by leveraging NetApp’s industry-leading data management technology for snapshots, backups, replication, and cloning.
The Problem and The Solution
Let’s assume that you are a data scientist working for a retail corporation. You deployed JupyterLab notebook workspaces on your on-premises infrastructure during normal regular working hours. Your on prem-resources are enough to handle the computational demands for now, but as the holidays are approaching you are seeing sudden spikes in peak usage, and you now require additional processing power.
In this scenario, Astra Control Center provides the perfect solution in the form of cloud bursting. You can easily offload your Jupyterlab notebook workspaces from on-prem Kubernetes cluster to the cloud in AWS.
Jupyterlab Workspace Management and Cloud Bursting
You can follow along the video below to learn how easy it is to deploy and manage Jupyterlab workspaces with NetApp DataOps Tookit and how Astra Control Center can be leveraged to use cloud bursting.
If you have completed the steps in the video, congratulations! You have now successfully cloned the JupyterLab workspace from your on prem Kubernetes cluster to your Kubernetes cluster in AWS backed by Cloud Volumes ONTAP storage.
