Monday, September 14, 2020

Deploying dockerized .net microservice to Kubernetes cluster using Azure DevOps YAML pipeline


In my previous blog https://www.leogether.com/2020/09/creating-kubernetes-cluster-with-azure.html

I created the Azure Container Registry and Kubernetes cluster using Terraform and Azure DevOps. I would encourage you to read my previous blog first before reading this.

In this blog, I will show you how to import a docker image into the Azure Container registry and deploy the application in the Kubernetes cluster using the Azure DevOps YAML pipeline. The complete architectural flow is as below:




I am using .net sample application that I had been using in my previous blogs:

 https://github.com/Pujago/studentregistration

My application code also has:

1. Docker file

2. Docker Compose file

3. 2 YAML files needed for Kubernetes:

    https://github.com/Pujago/studentregistration/tree/master/DeploymentK8s

    deployment.yml - It  is a YAML for kind deployment and service, for .net application

    mssql-deployment.yml - It  is a YAML for kind deployment and service, for sql server


Creating Azure DevOps project

Create a new project as below:

Go to the project and click on the Repos.

I have added my code in Azure DevOps Repos as below:


Creating service connections:

Create service connections for docker, Kubernetes, and Azure to communicate with DevOps as below:


Creating an Azure DevOps Pipeline:

Go to the project and click on the Pipelines, create a new pipeline "Deploy .net microservice in Kubernetes", follow the screen choices create a starter pipeline.

Replace the existing code with the code located in the file here:

The above YAML pipeline tasks are explained with comments in the file.

Once done, save and run the pipeline, you will see as below:



Once the pipeline runs successfully, Go to Azure Portal and select the Azure Container Registry. You will see the image is pushed to the container registry:


And also services are deployed to the Kubernetes cluster.

Now let's connect to the cluster. 

Using Azure CLI, run the following commands:

To connect: 
az login

To set the current context in Kube config:
az aks get-credentials --name eks_dev --resource-group kubernetes_dev

To see services running:
kubectl get svc


Use the external IP address to test your service in Postman:


Happy reading!

3 comments:

  1. I really like the way it is explained in such simple terms.. Superb. Thanks.

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