This section explains the main functionality of Cloud Native Qumulo on GCP (CNQ), shows the reference architecture, and lists the known limits. In addition, it provides an overview of deployment, post-deployment actions, and deployment optimization.

What is Cloud Native Qumulo on GCP?

CNQ on GCP is a self-managed Virtual Private Cloud (VPC) deployment that provisions Google Compute Engine (GCE) instances and uses Google Cloud Platform (GCP) infrastructure for a Qumulo file system, which allows the disaggregation of persistent storage from compute resources. You can deploy CNQ on GCP by using Terraform or Deployment Manager templates.

CNQ on GCP provides the same multi-protocol support, interfaces, and functionality as Qumulo on premises.

Reference Architecture

Cloud Native Qumulo on GCP Architecture Diagram

Overview of Deploying CNQ on GCP

This section outlines the process of configuring and deploying CNQ on GCP.

  1. Create persistent storage by using Google Cloud Storage (GCS) buckets.

  2. Deploy cluster compute and cache resources by using GCE instances and HyperDisk volumes.

  3. Perform post-deployment actions.

  4. Optimize your deployment.

CNQ on GCP Limit

This section lists the CNQ on GCP limits.

24-Node Clusters (Terraform): Although the Cloud Native Qumulo architecture can scale to a high number of nodes, Terraform deployments of CNQ on GCP are limited to a maximum of 24 nodes.

For more information, contact the Qumulo Care team.