StackQL Jupyter Demo

Query cloud inventory and perform analysis and visualisations using Jupyter, Python and StackQL.

Table of contents

• Prerequisites
• Setting up authentication
• Instructions to pull and run image from Dockerhub
• Instructions to build and run locally

Prerequisites

• Docker
• Doocker Compose (optional)

Setting up authentication

You will need to setup credentials for the providers required by...

• adding the appropriate service account key(s) to the keys/ directory
• populating the necessary environment variables on your host machine, examples are shown here:

Setting Environment Variables (bash)

export AWS_ACCESS_KEY_ID=YOURACCESSKEYID
export AWS_SECRET_ACCESS_KEY=YOURSECRETACCESSKEY
export STACKQL_GITHUB_USERNAME=yourusername
export STACKQL_GITHUB_PASSWORD=ghp_yourtoken
export OKTA_API_TOKEN=YOUROKTAAPIKEY
export NETLIFY_AUTH_TOKEN=YOURNETLIFYTOKEN
export SUMOLOGIC_ACCESSID=YOURSUMOACCESSID
export SUMOLOGIC_ACCESSKEY=YOURSUMOACCESSKEY
export GOOGLE_CREDENTIALS=$(cat creds/my-key.json)

Setting Environment Variables (powershell)

$Env:AWS_ACCESS_KEY_ID = "YOURACCESSKEYID"
$Env:AWS_SECRET_ACCESS_KEY = "YOURSECRETACCESSKEY"
$Env:STACKQL_GITHUB_USERNAME = "yourusername"
$Env:STACKQL_GITHUB_PASSWORD = "ghp_yourtoken"
$Env:OKTA_API_TOKEN = "YOUROKTAAPIKEY"
$Env:NETLIFY_AUTH_TOKEN = "YOURNETLIFYTOKEN"
$Env:SUMOLOGIC_ACCESSID = "YOURSUMOACCESSID"
$Env:SUMOLOGIC_ACCESSKEY = "YOURSUMOACCESSKEY"
$env:GOOGLE_CREDENTIALS = Get-Content -Raw -Path creds\my-key.json

Instructions to pull and run image from Dockerhub

The stackql-jupyter-demo image is available on Dockerhub (hub.docker.com/r/stackql/stackql-jupyter-demo). To run it in detatched mode, execute the following command:

you can omit credentials for providers you don't need

using bash...

docker pull stackql/stackql-jupyter-demo
CID=`docker run -d -p 8888:8888 \
-e AWS_ACCESS_KEY_ID \
-e AWS_SECRET_ACCESS_KEY \
-e STACKQL_GITHUB_USERNAME \
-e STACKQL_GITHUB_PASSWORD \
-e OKTA_API_TOKEN \
-e NETLIFY_AUTH_TOKEN \
-e SUMOLOGIC_ACCESSID \
-e SUMOLOGIC_ACCESSKEY \
-e GOOGLE_CREDENTIALS \
stackql/stackql-jupyter-demo \
/bin/sh -c "/scripts/entrypoint.sh"`
# optional - copy service account keys to container
docker cp keys/stackql-security-reviewer.json  $CID:/jupyter/.keys/google-sa-key.json

using powershell...

docker pull stackql/stackql-jupyter-demo
$CID=$(docker run -d -p 8888:8888 `
-e AWS_ACCESS_KEY_ID `
-e AWS_SECRET_ACCESS_KEY `
-e STACKQL_GITHUB_USERNAME `
-e STACKQL_GITHUB_PASSWORD `
-e OKTA_API_TOKEN `
-e NETLIFY_AUTH_TOKEN `
-e SUMOLOGIC_ACCESSID `
-e SUMOLOGIC_ACCESSKEY `
-e GOOGLE_CREDENTIALS `
stackql/stackql-jupyter-demo `
/bin/sh -c "/scripts/entrypoint.sh")
# optional - copy service account keys to container
$target=$CID + ":/jupyter/.keys/google-sa-key.json" 
docker cp keys/stackql-security-reviewer.json  $target

To stop and remove the container when you're finished, run...

docker stop $(docker ps -l -q --filter status=running --filter ancestor=stackql/stackql-jupyter-demo)
docker rm $(docker ps --filter status=exited --filter ancestor=stackql/stackql-jupyter-demo -q)

Instructions to build and run locally

Follow these instructions to build and run the container locally using docker compose, this could be adapted to use docker run as well if you prefer.

1. Clone the repo

Clone this repo git clone https://github.com/stackql/stackql-jupyter-demo

2. Build and run the container

Build and run the image using the docker-compose.yml file:

docker-compose build --no-cache
docker compose up --build

Add authentication if running this on a server which is accessible to others, see https://jupyter-notebook.readthedocs.io/en/stable/security.html

3. Use your notebook

Navigate to http://localhost:8888 and run your StackQL commands! Use the sample notebook files included in the Jupyter workspace in the image.

4. Stop and remove the container

Stop and remove the container when finished by: Pressing cntl + c in the terminal window where the container is running and then running:

docker compose down

5. Remove the image (optional)

To remove the image locally run:

docker rmi stackql-jupyter-demo-jupyter:latest