Qumulo Resources on GitHub

Qumulo creates products that to let users manage their unstructured file data for high-performance workloads at exabyte scale. This page is your starting point for Qumulo resources on GitHub.

Qumulo Documentation Portal

To provide the most up-to-date documentation on Qumulo products, we created a Documentation Portal on GitHub, where you can read, ask questions, and make suggestions for our documentation.

Qumulo REST API Introduction

Qumulo's data storage solutions use a REST API that you can use to:

Automate Tasks: Create shares, quotas, or snapshots
Streamline Your Workflows: Use scripted automation
Dive Deep into Analytics: Understand how you use your storage

To get started, see Introduction to the Qumulo API, where you can learn about the API architecture and try out the following tools:

python bindings: The main method of interacting with the Qumulo API programmatically.
qq CLI tool: This wrapper that provides a streamlined command-line interface for the API.
curl commands: These examples explain the raw REST elements that back the API.

Deploying Qumulo in the Cloud

Use the Qumulo Cloud Deployment Samples to get started with creating a Qumulo cluster in the cloud by using your favorite orchestration technology.

Qumulo Github Repositories

Our GitHub repositories are organized into categories with code examples that demonstrate a variety of uses of the Qumulo API.

API-Driven Applications

Daily Storage Reports Web App: A Flask-based application that creates reports for store, present, and alert on capacity and IOPS usage by path, over time.
API metrics to CSV, ElasticSearch, Influx, and Splunk: A script that monitors workload data, including paths, clients, IOPS, and throughput.

Power Tools

Disk Usage (du): Use Qumulo's aggregates to see the usage of a full file tree in real time.
Parallel Copy: Use capacity aggregates to divide a large data copy job to run with rsync.
Capacity by User: Use the file samples API to provide quick estimates of storage usage by user, and to estimate costs.

Python Jupyter Notebooks

You can explore the Qumulo API using the Qumulo API Jupyter Notebooks data science tool.