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Local Kubernetes installation


This page is in active development, content may be inaccurate and incomplete.

conda-store Kubernetes architecture diagram

The following will describe a local Kubernetes installation via minikube. The files required are in examples/kubernetes

minikube start --cpus 2 --memory 4096 --driver=docker

Now we deploy the conda-store components. Note that conda-store is compatible with any general s3 like provider and any general database via SQLAlchemy. Currently the docker image is build with support for PostgreSQL and SQLite. Consult the SQLAlchemy documentation on supporting your given database and then creating a custom docker image with your required database. Not all database engines were added to save on image size. Additionally You may not need to use MinIO and PostgreSQL deployments and use existing infrastructure. In the case of AWS this may mean using Amazon RDS and s3. Consult your cloud provider for compatible services. In general if it is supported by SQLAlchemy and there is a s3 compatible object store conda-store will work. kustomize is being used for the deployment which is part to the Kubernetes project itself.

kubectl apply -k examples/kubernetes

Make sure to change all the usernames and passwords for the deployment.

If your installation worked you should be able to port forward the conda-store web server.

kubectl port-forward service/conda-store-server 8080:8080

Then visit via your web browser http://localhost:8080

For additional configuration options see the reference guide

A good test that conda-store is functioning properly is to apply the jupyterlab-conda-store pod as a quick test. It will cause conda-store to build an environment with JupyterLab and NumPy. This pod is not needed for running conda-store.

kubectl apply -f examples/kubernetes/test/jupyterlab-conda-store.yaml

If you instead mount a ReadWriteMany volume to the container conda-store-worker like nfs or Amazon EFS. You can mount the environments built via conda-store and use environments this way. Note that NFS can be significantly slower when it comes to creating environments (see explanation about performance).