This quick start guide outlines how to create a superset + stackql dashboard on your laptop using docker desktop, helm, and kubernetes. We certainly do not want to go into depth on superset, a third-party application, so this guide is terse.

For more background on using StackQL with GitHub Actions see StackQL GitHub Actions Tutorial

We provide a set of useful actions that allow you use StackQL with GitHub Actions Workflow. These actions are available in the GitHub Marketplace.

This exercise will show you how to run a real-time query across your AWS and Google cloud environments. You may do this for inventory analysis, security analysis, or any other reason you can think of. We will use stackql to query the state of your cloud resources across your AWS and Google environments. You can also use stackql to provision, de-provision or manage resources across different cloud and SaaS providers.

StackQL is an intelligent API client which uses SQL as a front-end language with support for multi-cloud and SaaS provider environments, you can find more information at github.com/stackql/stackql

StackQL can provide valuable insights into your cloud and SaaS estates, whether for security posture management, cross-cloud entitlements reporting, cost optimization, or asset/inventory management.

As an interactive analysis tool, Jupyter notebooks can leverage StackQL to provide sources for cloud and SaaS provider data.