I'll aim to provide a series of articles on provisioning and building this out for your organisation. This article is about getting up and running quickly.
Metabase is a business intelligence tool for your organisation that plugs in various data-sources so you can explore data and build dashboards. I'll aim to provide a series of articles on provisioning and building this out for your organisation. This article is about getting up and running quickly.
There are multiple ways to get Metabase up and running on Google Cloud.
You can install it locally on your Mac as well as popular cloud platforms. It's available as a JAR file and also as a Docker container.
I went via the Docker container route and Google Cloud Platform.
Make sure you have GCloud developer tools setup. You can do this via the instructions here.
After that, you'll need to login to your Google account and also configure Docker to work with your credentials. In my case I generated a new service account in GCP to access Google BigQuery (my chosen reporting database). I then downloaded the corresponding service account JSON file.
gcloud auth login
gcloud auth configure-docker
Metabase docker images are on Dockerhub here.
However, I wanted these in Google Cloud Registry for performance and reliability reasons.
You can pull the Docker image using the following:
docker pull metabase/metabase:latest
Tag the docker image with the following:
docker tag metabase/metabase:latest eu.gcr.io/krustysfunhouse/metabase
Deploy the Docker image to Google Cloud Registry with the following
docker push eu.gcr.io/krustysfunhouse/metabase:latest
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