This guide installs Feast on Azure using our reference Terraform configuration.
This Terraform configuration creates the following resources:
Kubernetes cluster on Azure AKS
Kafka managed by HDInsight
Postgres database for Feast metadata, running as a pod on AKS
Redis cluster, using Azure Cache for Redis
spark-on-k8s-operator to run Spark
Staging Azure blob storage container to store temporary data
Create an Azure account and configure credentials locally
Install Terraform (tested with 0.13.5)
Install Helm (tested with v3.4.2)
.tfvars file under
feast/infra/terraform/azure. Name the file. In our example, we use
my_feast.tfvars. You can see the full list of configuration variables in
variables.tf. At a minimum, you need to set
my_feast.tfvarsname_prefix = "feast"resource_group = "Feast" # pre-existing resource group
After completing the configuration, initialize Terraform and apply:
$ cd feast/infra/terraform/azure$ terraform init$ terraform apply -var-file=my_feast.tfvars
After all pods are running, connect to the Jupyter Notebook Server running in the cluster.
To connect to the remote Feast server you just created, forward a port from the remote k8s cluster to your local machine.
kubectl port-forward $(kubectl get pod -o custom-columns=:metadata.name | grep jupyter) 8888:8888
Forwarding from 127.0.0.1:8888 -> 8888Forwarding from [::1]:8888 -> 8888
You can now connect to the bundled Jupyter Notebook Server at
localhost:8888 and follow the example Jupyter notebook.