Deploy with Helm to Azure AKS ​

Paramify can be deployed using Helm into an existing Kubernetes cluster, such as AWS EKS, Azure AKS, or self-managed.

The following instructions are an example of how to create and deploy into an Azure AKS cluster leveraging Workload Identity (attached to a ServiceAccount) for permissions to read/write from Azure Storage. Other than the specific Terraform the overall process is generally applicable for any Helm-based install of Paramify into Kubernetes.

Prerequisites ​

• Azure CLI and authenticated user with sufficient permissions to create resources
• terraform CLI installed (if using the example .tf files)
• kubectl CLI installed
• A Paramify license (user and credential for Helm registry login)
• (Recommended) An available subdomain planned to access the application (e.g., paramify.company.com)
• (Recommended) Credentials for an SMTP server to send email
• (Recommended) Access to configure Okta, Microsoft Login, or Google Cloud Console for SSO

1. Create Infrastructure ​

Paramify will use the following infrastructure in Azure:

• AKS Kubernetes cluster
• PostgreSQL database (this example uses an embedded DB container, so refer to Embedded Postgres Backup for info on backups, but optionally you could use a managed solution like Azure Database for PostgreSQL, etc.)
• Azure Storage account and container for images and generated documentation
• Load balancer to access to the Paramify application

To simplify creation of the infrastructure you can use the example Terraform files to create everything in an isolated resource group.

Follow these steps to create the infrastructure:

1. Update and apply the terraform example (or similar):

   • In an empty directory, save the example files and edit variables.tf to set the variables for your environment.

   TIP

   If an AKS cluster already exists you may be able to skip the azure-paramify-infra-prereq.tf file.

   • Init and check the configuration:
   bash

   terraform init
   terraform plan

   terraform init
   terraform plan

   • Apply the configuration to create AWS resources:
   bash

   terraform apply

   terraform apply

   NOTE

   This will usually take a few minutes.

   • Copy the convenience output values (or run terraform output) that look something like:

   azure_blob_endpoint = "https://paramify-mycompany.blob.core.windows.net/"
   azure_container = "paramify-container"
   azure_storage = "paramify-mycompany"
   client_id = "00000000-0000-0000-0000-000000000000"
   kubernetes_cluster_name = "paramify-aks"
   resource_group_name = "paramify-rg"

   azure_blob_endpoint = "https://paramify-mycompany.blob.core.windows.net/"
   azure_container = "paramify-container"
   azure_storage = "paramify-mycompany"
   client_id = "00000000-0000-0000-0000-000000000000"
   kubernetes_cluster_name = "paramify-aks"
   resource_group_name = "paramify-rg"

2. Authenticate your kubectl config by running the aks-creds.sh script

2. Helm Install ​

Follow these steps to install the application using Helm:

1. Edit values-azure.yaml and edit the configuration according to your environment, including SMTP and DB credentials.

   WARNING

   Be sure to update ADMIN_EMAIL to match the first user that will login, who can then add other users.

2. Authenticate to the Paramify Helm registry using your license (which can be obtained from Paramify):

   bash

   helm registry login registry.paramify.com --username user@company.com --password <license_id>

   helm registry login registry.paramify.com --username user@company.com --password <license_id>

3. Review the Helm templates and then install:

   • If desired, use the helm template command to preview the resulting templates that will be applied.
   bash

   helm template paramify oci://registry.paramify.com/paramify/paramify --namespace paramify --values ./values-azure.yaml

   helm template paramify oci://registry.paramify.com/paramify/paramify --namespace paramify --values ./values-azure.yaml

   • Then actually install the templates into your cluster:
   bash

   helm install paramify oci://registry.paramify.com/paramify/paramify --namespace paramify --values ./values-azure.yaml

   helm install paramify oci://registry.paramify.com/paramify/paramify --namespace paramify --values ./values-azure.yaml

4. If you used the default LoadBalancer option you should do the following to identify the IP to connect to:

   bash

   kubectl get service paramify -n paramify

   kubectl get service paramify -n paramify

   • The results will look something like:
   bash

   NAME                     TYPE           CLUSTER-IP     EXTERNAL-IP   PORT(S)         AGE
   service/paramify         LoadBalancer   10.0.43.163    10.224.0.6    443:31758/TCP   31s

   NAME                     TYPE           CLUSTER-IP     EXTERNAL-IP   PORT(S)         AGE
   service/paramify         LoadBalancer   10.0.43.163    10.224.0.6    443:31758/TCP   31s

   • Copy the EXTERNAL-IP and paste that into your browser to https://<EXTERNAL-IP>.

   TIP

   You can add a custom DNS domain name pointing at that EXTERNAL-IP to get a more user friendly endpoint. It's then recommended to generate an associated SSL cert to use. Otherwise you may see an error in the browser about the SSL cert, which you'll have to accept to access the app.

Now you should be ready to access Paramify at the load balancer IP or optionally your desired domain (e.g., https://paramify.company.com) and login using one of your configured methods. Enjoy!