This section discusses Stardog’s support for Kubernetes.
Support for k8s is provided as Helm charts, which makes it easy to deploy and test in k8s. Helm charts describe the services and applications to run in k8s and how they should be deployed, providing a single means for repeatable application deployment.
The Helm charts are open source and available on GitHub.
To customize the Stardog image in k8s, we recommend extending the base Stardog image and pushing your custom image into a container registry, either a local or on-prem registry, or a cloud-based one, such as DockerHub, Elastic Container Registry (ECR), Google Container Registry (GCR), or Azure Container Registry (ACR).
As an example, to configure an image with extra client drivers, create a
FROM stardog/stardog:latest RUN mkdir -p /var/opt/drivers/ COPY ./elasticsearch-rest-client-7.4.0.jar /var/opt/drivers/ ENV STARDOG_EXT=/var/opt/drivers/
This defines a simple Docker image, based on Stardog’s official image hosted on DockerHub, which adds the Elastic Search client and sets the
STARDOG_EXT environment variable. When this image is run, the
ENTRYPOINT for the
stardog/stardog:latest image will be used to start Stardog but with the additions included in the custom Dockerfile.
After creating the Dockerfile, you need to build, tag, and push it into your registry (authenticating as required). Below we build the image and push it to ECR with a custom tag:
docker build . -t customstardog:0.0.1 $(aws ecr get-login --region us-west-1 --no-include-email) docker push customstardog:0.0.1
Once your image is available, you can set the
image.* parameters for Helm to deploy the Stardog cluster into k8s with your custom image.