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Google Cloud Platform

Run NimbleBox Workloads on your Google Cloud Platform

Google Cloud Platform

Run NimbleBox Workloads on your Google Cloud Platform

How it works

NimbleBox comes with several cloud integrations to enable you to use your own cloud account with a simple and intuitive interface. The Cloud Integration Setup guide explains how to connect to your GCP account and use GCP resources within the NimbleBox platform.

GCP Cloud Integration on NimbleBox provides a powerful and convenient way for you to take advantage of the many features of GCP and Kubernetes. Whether you need to create instances, run batch processing jobs, or deploy scalable applications, NimbleBox has you covered.

After completing the Integration setup successfully, go to the feature you want to use (such as Build, Jobs, Deploy) and choose your cloud integration from the drop-down menu on the top-left.

Google Cloud Platform


Build on GCP

GCP Integration on NimbleBox allows you to create and manage GCP instances directly from the NimbleBox dashboard. This feature allows users to easily spin up new virtual machines on GCP and run applications on them such as VS Code, ML Flow, Jupyter Lab, Jupyter notebooks with just a few clicks.

Jobs on GCP

This Integration also allows you to create jobs on Google Kubernetes Engine (GKE) that spin up Kubernetes containers for batch processing on CPU or GPU machines. This makes it simple for you to run tasks on a regular or scheduled interval, or to do large automated, scalable batch processing tasks on GCP. Jobs can be configured to include custom retry logic in the event of a failure.

Deploy on GCP

Finally, this Integration allows you to create Kubernetes deployments on Google Kubernetes Engine (GKE) with managed traffic routing. This enables you to easily deploy and manage applications on GCP using the powerful and flexible features of Kubernetes such as auto-scaling, ensuring that applications are always available and responsive to user requests.