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Repository to deploy a JupyterHub on AWS with Terraform and hubploy. Templated from yuvipanda/hubploy-template.

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Hackweek-Template

About

This repo serves as a template for all the resources you need to deploy a Pangeo-style JupyterHub. The focus of this template is for hackweek hubs, which should be easy to spin up or tear down and have most of the settings that short-term users will want and need.

This project is heavily inspired from Yuvi Panda's TESS Prototype Deployment repo and directly utilizes his open-source Hubploy Template.

The two primary tools that are used for this deployment are Terraform and Hubploy.

  • Terraform is used to store the cloud infrastructure as code and make deploying the Kubernetes cluster easy.
  • Hubploy is used to deploy the JupyterHub software onto the cluster and enables continuous integration (CI) through GitHub Actions.

Note: This repo spins up infrastructure on AWS. If you want it on another cloud provider, it is advised that you become familiar with Hubploy, Hubploy-Template, and Terraform and build a new template yourself. In the future, this repo may expand to include deployments on other cloud providers.

Installation

Prerequisites

You'll need the following tools installed:

  • Terraform
    • If you are on MacOS, you can install it with brew install terraform
  • kubectl
    • If you are on MacOS, you can install it with brew install kubectl
  • awscli
  • Helm
  • A Docker Environment
  • The Hackweek Template
    • Get the template repo locally by forking the repo to your own workspace / organization and then cloning.

Cloud Infrastructure with Terraform

Get terraform-deploy Submodule

This module builds off of terraform-deploy for the infrastructure management . You can find that repo here ; we are currently using the hackweek-template-infrastructure branch.

It is recommended to fork the terraform-deploy repo and host it wherever your fork of this repo is. You can then change .gitmodules to have the new location of the submodule.

Get the submodule into the cloud-infrastructure folder by running

git submodule init

This will bring in the infrastructure repo at a specific commit. You can work with it as a normal git repo by running

cd cloud-infrastructure
git checkout master

Configure Permissions

Before running any Terraform commands, you need to be authenticated to the awscli. The cloud-infrastructure/aws-creds/ directory has all the permissions needed for Terraform to run. You can choose to generate a user or role to insure minimum permission levels. Both of these options are present in iam.tf. If you choose to use one of these, uncomment the relevent lines and run terraform init, then terraform apply. You can then configure the credentials as needed with aws configure.

Fill in Variable Names

The terraform deployment needs several variable names set before it can start. You can copy the file cloud-infrastructure/aws/your-cluster.tfvars.template into a file named <your-cluster>.tfvars, and modify the placeholders there as appropriate. If you want extra users to be mapped to the Kubernetes masters, add entries to map_users (it is a list of maps).

Create Infrastructure

In the cloud-infrastructure/aws/ directory, run terraform init to download the required Terraform plugins.

Then, run terraform apply -var-file=<path/to/your-cluster.tfvars>, look through the resources Terraform plans to spin up, and then type yes.

The cluster creation process occasionally errors out. Re-running the previous command again will usually succeed. The infrastructure can take 15-20 minutes to create, so feel free to open another Terminal and continue with most of the next section while you wait.

When the infrastructure is created, run aws eks update-kubeconfig --region=<your-region> --name=<your-cluster> with values from your-cluster.tfvars to allow kubectl to access the cluster.

JupyterHub Deployment with Hubploy

Install Hubploy

python3 -m venv .
source bin/activate
python3 -m pip install -r requirements.txt

Rename the Hub

Each directory inside deployments/ represents an installation of JupyterHub. The default is called hackweek-hub in this repo, you are recommended to change it to be more specific. You need to git commit the change as well:

git mv deployments/hackweek-hub deployments/<your-hub-name>
git commit

Fill in the Config Details

You need to find all things marked TODO and fill them in. In particular,

  • hubploy.yaml needs information about where your docker registry & kubernetes cluster is, and paths to access keys as well.
  • secrets/prod.yaml and secrets/staging.yaml require secure random keys you can generate and fill in.

Build and Push the Hub's Image

  • Make sure tha appropriate docker credential helper is installed, so hubploy can push to the registry you need.

  • Make sure you are in your repo's root directory, so hubploy can find the directory structure it expects.

  • Build and push the image to the registry

hubploy build <hub-name> --push --check-registry

This should check if the user image for your hub needs to be rebuilt, and if so, it’ll build and push it.

Deploy the Staging Hub

Note: This step will fail unless your infrastructure is built and you have run the aws eks update-kubeconfig command above.

Each hub will always have two versions - a staging hub that isn’t used by actual users, and a production hub that is. These two should be kept as similar as possible, so you can fearlessly test stuff on the staging hub without feaer that it is going to crash & burn when deployed to production.

To deploy to the staging hub,

hubploy deploy <hub-name> hub staging

This could take a few minutes, but eventually return successfully. You can then find the public IP of your hub with:

kubectl -n <hub-name>-staging get svc proxy-public

If you access that, you should be able to get in with any username & password. It might take a minute to be able to be accessible.

The defaults provision each user their own EBS / Persistent Disk, so this can get expensive quickly :) Watch out!

Customize Your Hub

You can now customize your hub in two major ways:

  • Customize the hub image. repo2docker is used to build the image, so you can put any of the supported configuration files under deployments/<hub-image>/image. You must make a git commit after modifying this for hubploy build <hub-name> --push --check-registry to work, since it uses the commit hash as the image tag.

  • Customize hub configuration with various YAML files.

hub/values.yaml is common to all hubs that exist in this repo (multiple hubs can live under deployments/).

deployments/<hub-name>/config/common.yaml is where most of the config specific to each hub should go. Examples include memory / cpu limits, home directory definitions, etc

deployments/<hub-name>/config/staging.yaml and deployments/<hub-name>/config/prod.yaml are files specific to the staging & prod versions of the hub. These should be as minimal as possible. Ideally, only DNS entries, IP addresses, should be here.

deployments/<hub-name>/secrets/staging.yaml and deployments/<hub-name>/secrets/prod.yaml should contain information that mustn't be public. This would be proxy / hub secret tokens, any authentication tokens you have, etc. These files must be protected by something like git-crypt or sops. THIS REPO TEMPLATE DOES NOT HAVE THIS PROTECTION SET UP YET

You can customize the staging hub, deploy it with hubploy deploy <hub-name> hub staging, and iterate until you like how it behaves.

Deploy to Prod

You can then do a production deployment with: hubploy deploy <hub-name> hub prod, and test it out!

Setup Git-Crypt for Secrets

git-crypt is used to keep encrypted secrets in the git repository.

  • Install git-crypt. You can get it from brew or your package manager.
  • In your repo, initialize it: git crypt init
  • The .gitattributes file has the configuration of files it will encrypt.
  • Make a copy of the encryption key. This will be used to decrypt the secrets. You will need to share it with your CD provider (CircleCI, GitHub Actions) and anyone else who will be using the repo for the same hub as you. git crypt export-key key puts the key in a file called 'key'.

GitHub Workflows

  • Get a base64 copy of your key: cat key | base64
  • Put it as a secret named GIT_CRYPT_KEY in GitHub Secrets.
  • Make sure you change hackweek-hub to your deployment's name in the workflows under .github/workflows/.
  • Push to the staging branch and check out GitHub Actions to see if the action completes.
  • If the staging action succeeds, make a PR from staging to prod and merge the PR. This should also trigger an action; make sure the action completes.

Note: Always make a PR from staging to prod. Never push directly to prod. We want to keep the staging and prod branches as close to each other as possible, and this is the only long-term guaranteed way to do that.

Uninstallation

Hopefully you had a good hackweek! Now you can remove the hub and cloud infrastructure so you stop paying for them.

Remove the Hub

You will need the helm release's name and namespace. These are procedurally generated, usually both in the format <your-hub>-hub-<branch>. For example, with a deployment/ named hackweek-hub on my staging branch, the helm release and namespace are both named hackweek-hub-staging.

Uninstalling the hub from the cluster is done with

helm delete <release-name> -n <namespace-name>

For my example, this would be

helm delete hackweek-hub-staging -n hackweek-hub-staging

Release the Cloud Infrastructure

Before releasing, make sure that the result of kubectl get svc -A shows no entries with an EXTERNAL-IP.

If this is the case, you can run

terraform destroy -var-file=<path/to/your-cluster.tfvars>

Note: This also takes 15-20 minutes and may error out as it tries to destroy a couple Kubernetes resources. Try re-running the command again.

Delete the GitHub Repo

You may now delete the GitHub Repo you set up or forked, and you are done!

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