Rajendra Gupta
Diagram of replicated servers as multiple containers in a Kubernetes cluster.

Deploy a SQL Server container using Azure Kubernetes Services (AKS)

August 31, 2022 by

This article deploys a SQL Server container using Azure Kubernetes Services (AKS).

Introduction to Kubernetes

Kubernetes is a portable, open-source, extensible platform for managing and orchestrating containers. It abstracts complex container management tasks. You might run hundreds of container applications and databases in the environment, and Kubernetes provides a reliable and highly scalable control panel to manage these containers. The Kubernetes is popularly known as k8s, where the number 8 defines the number of characters between k and s of the word K[ubernete]s. It is a popular concept in cloud-based application development.

Diagram of replicated servers as multiple containers in a Kubernetes cluster.

Kubernetes offers the following benefits.

Kubernetes benefit

  • The Kubernetes provides self-healing of containers. For example, it restarts contains on its failure.
  • It can dynamically scale up or down containers.
  • You can apply automatic rolling updates and rollback for container instances.
  • It can store and manage sensitive information such as passwords.

Kubernetes components

At a high level, the Kubernetes forms a cluster of servers, i.e., Nodes. The master node maintains the desired cluster state while the worker nodes run the container for application and services.

Computer Cluster

The Kubernetes cluster is responsible for controlling and scheduling the tasks. The cluster contains Nodes and Control Panels.

  • Nodes: Nodes are the systems that execute the tasks.
  • Control Plane: It runs the scheduling software.

Computer cluster


It is a command-line tool for interacting with the Kubernetes clusters. You can create, stop, delete, auto-scale resources, describe active resources using the kubectl. We will use the kubectl in this article for resource deployment.

Kubernetes pods

Kubernetes Pods are the smallest unit in Kubernetes architecture, and it represents a single container instance in Kubernetes. To run the applications in Kubernetes, you package the container into the pods. The pod templates are defined using YAML files.

Kubernetes pods

Deploying SQL Container in Azure Kubernetes Services (AKS)

This article uses Azure Kubernetes Service (AKS) to deploy and manage the Kubernetes cluster. It is a fully managed service that offers serverless Kubernetes with integrated CI/CD solutions, enterprise-grade security, and governance.

You can navigate to https://azure.microsoft.com/en-in/services/kubernetes-service/#overview and try Azure Kubernetes Service (AKS).

Azure Kubernetes Services (AKS)

To deploy a Kubernetes cluster, launch the Azure portal and search for Kubernetes Services. Deploy a Kubernetes cluster

Click on create a new cluster in the Azure Kubernetes Services (AKS) that requires a few configurations input to proceed.

  • Basics:

The basic page requires Azure subscription, resource group, Kubernetes cluster name, Region, preset configuration.

The preset configuration allows you to customize the Kubernetes cluster configuration based on your requirement. It has the following preset configurations.

  • Standard: It provides a standard configuration that is suitable for most applications
  • Dev\Test: It is suitable for development, testing, or learning Kubernetes. For this article, we use Dev\test preset configuration.
  • Cost-optimized: Its focus is to reduce deployment costs on the production workloads.
  • Batch processing: It is suitable for compute-intensive, machine learning, graphics-intensive workloads.
  • Hardened access: It is suitable for large enterprises that require complete control of security and stability.

Basic page configuration

We can configure the node size, scale method (manual or auto scale), and node counts in the primary node pool.

Primary Node pool

The node size depends on vCPU, RAM, Data disks, and costs. You can click on the change size and choose your optimum VM size.

Select a VM size

We use Standard B2s with 2 vCPU and 4 GIB memory with the Autoscale method for this article.

Node configurations

We will proceed with default configurations for the remaining options in Azure Kubernetes Services (AKS) cluster- Node pools, Authentication, Integrations, Tags.

Node Pools:

Node Pools


Cluster authentication


Cluster networking


Container Integrations

Review + Create

Review configuration

Deploy your Kubernetes cluster and view the dashboard as shown below.

Cluster dashboard

Click on Nodes. It displays node pools, individual node names, and their status.

Node count and Pool Node Pools

Use Azure CLI to connect with Azure Kubernetes Services (AKS)

The Azure portal gives the following instructions for connecting to the Kubernetes cluster using command-line Azure CLI or Cloud Shell. Azure CLI commands

In this article, we will use Azure CLI to connect with the Kubernetes cluster. You can navigate to https://docs.microsoft.com/en-us/cli/azure/install-azure-cli-windows?tabs=azure-cli and install the latest Azure CLI on Windows, Linux, or macOS.

Download latest Azure CLI

After the Azure CLI installation, launch command-prompt and authenticate to Azure using your credentials.

az login command opens a browser window for you to enter your Azure credentials. After authentication, you get the following page.

az account set –subscription <subscriptionguid>
az login

az login command

  • Configure kubectl

As stated earlier, we use the kubectl command to connect with the Kubernetes cluster. We run the az aks get-credentials command to configure kubectl.

The az aks get-credentials require an input of the resource group and Kubernetes cluster that we deployed earlier.

az aks get-credentials –resource-group myResourceGroup –name myAKSCluster

Configure kubectl

  • Get Kubernetes cluster information

We can run the command – kubectl get nodes – to get a list of cluster nodes, status, uptime, and version.

Kubernetes cluster information

  • Store the SA password for SQL deployment

In this step, use the kubectl create generic mssql and store the SQL Server administrator password. In this example, I used a generic password; however, you should use a complex password. The below command creates a secret named mssql in Kubernetes, and it stores the value for SA_PASSWORD.

kubectl create secret generic mssql –from-literal=SA_PASSWORD=”India@1234”

SA password for SQL deployment

Use the kubectl describe secret command to validate the secret mssql.

validate the secret

Create a persistent storage

The next step requires configuring a persistent storage volume. This persistent volume is independent storage where Kubernetes stores SQL Server databases, and Kubernetes pods will access this storage later.

To create persistent storage, we need to create a YAML file. You can use notepad, Visual Studio Code, or any preferred editor to create the file.

The following script declares a storage class, provisioner, account type, and persistent volume name.

  • Type: Storage class
  • Name: Azure-disk
  • Provisioner: azure-disk
  • Storage account type: Standard LRS

Save this file in YAML extension such as pvc.yml. To create the persistent storage volume and bound to persistent volume in the Kubernetes cluster, run the following script.

kubectl apply -f c:\Azure\pvc.yml

Validate the persistent storage volume using the descript command below. Here, mssql-data is the name of the persisted volume.

describe pvc mssql-data

Its output says – Successfully provisioned volume.

Create a persistent storage

You can also validate the storage in the Kubernetes cluster storage section. As shown below, the volume named mssql-data is bound to the Kubernetes cluster.

View storage in cluster

  • Create a Kubernetes deployment object

This step creates a Kubernetes deployment object to create the container that hosts the SQL Server instance. The deployment object creates a replica set and pod.

  • It creates a manifest (a YAML file) to describe the deployment configurations.
  • It uses the mssql-server-linux docker image for SQL Server installation.
  • It retrieves the SA password from the mssql secret created earlier using kubectl.
  • Specify the SQL Server edition using the MSSQL_PID. Currently, we set it as Developer. You can choose the values such as Express, Standard, Enterprise ( for production license)
  • The deployment uses the persistentVolumeClaim – mssql-data as defined earlier.
  • The script defines port 1433 for SQL Server connections.

Kubernetes deployment object

Copy the following script in a preferred editor and save it in a format such as sql.yml

To create the deployment, use the kubectl apply command and specify the path of this YML file.

kubectl apply -f C:\Azure\sql.yml

As shown below, it creates the deployment and service mssql-deployment as defined in the script.

Apply cluster configuration

The SQL Server instance runs in the container, and it is connected to persistent storage. Run the command – kubectl get pod to get pod name, status, and age.

The cluster pulls the SQL Server docker image from the docker hub during the pod creation and performs the configuration. Once the image is pulled, the subsequent deployments are quicker as it does not need to download the image again.

As shown below, the pod status changes to Running from ContainerCreating.

pod status changes

The kubectl get services to return the Kubernetes cluster IP and external IP address. You need an external IP address for connecting to the SQL Service. As shown below, internally port 1433 is mapped with the 31146.

Get external IP

Connect to SQL Server using SQLCMD

You can use SQLCMD, SSMS, or Azure Data Studio to connect with an external IP address and verify that Microsoft SQL Server 2019 CU13.

Connect to SQL Server using SQLCMD

Verify Pod Failure and Recovery in Azure Kubernetes Services (AKS)

The Kubernetes automatically detects any failure and restart or deploy the Pod. It is connected to persisted storage, so you do not lose any data.

Let’s create a new database [demodb], table, and insert a record to test the failure and recovery.

Verify Pod Failure

Now, run the kubectl get pods command to get pods name, status. Its status is ready and running, as shown below.

Check Pod status

Let’s delete the pod using the kubectl delete command. The command requires a pod name as an input.

delete the pod

Azure Kubernetes Services (AKS) cluster automatically creates the pod and connects with persistent storage to recover SQL Server instance. You can use kubectl get pods to verify that a new pod is deployed in Kubernetes storage.

Verify pod is available again

The external IP address of pods gets a new external IP address. As shown below, the new external IP address is

Note down current external IP

Let’s connect to the SQL instance and verify that you can access the record inserted in the previous pod. As shown below, the database [demodb] and record “Kubernetes” are available.

View records

HA solution on Kubernetes running in Azure Kubernetes Services

As explored in this article, Kubernetes acts as a cluster orchestrator. Suppose you have a mssql-server container in a pod. The replica set ensures that if a node fails, the pod is recovered automatically.

SQL Server container on Azure Kubernetes Services (AKS)

The following diagram shows mssql-server container failed. The Kubernetes maintains the correct healthy replica sets and maintains a new container with a similar configuration. The mssql-server connects with the same persistent storage and connects to mssql-server.

SQL Server pod fail on Kubernetes cluster

Similarly, the below diagram shows that the node running the mssql-server container failed. The Kubernetes starts a new pod on a different node and connects the mssql-server container with persistent storage.

SQL Server pod recover on Kubernetes cluster

Image reference: Microsoft


This article deploys a Kubernetes cluster using the Azure Kubernetes Services (AKS) and configures a SQL Server Linux docker image. We used the kubectl command to configure Kubernetes, creating and managing POD. The Kubernetes automatically recovers pods with persistent storage. You can follow this article for K8s cluster deployment with SQL Server.

Rajendra Gupta
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