Deploy Docker image to Kubernetes Cluster | CI-CD for Azure Kubernetes Service

About Course

Learn how to configure CI/CD pipelines to automatically push a docker image to Kubernetes cluster abstracted by Azure Kubernetes Services (AKS).

Learn how to pull a docker image from a public container registry, deploy your application to the docker image then push the image to a private container registry to get ready to be picked up by the release pipeline.

What will be covered in this video:

• Create Kubernetes cluster using Azure cli
• Create an Azure Container Registry (ACR), AKS and Azure SQL server
• Provision the Azure DevOps Team Project with a sample .NET Core application
• Configure application and database deployment, using Continuous Deployment (CD) in the Azure DevOps using Azure Pipelines
• Initiate the build to automatically deploy the application to Docker image, push the image to private Azure registry.
• Automatically trigger release pipeline to pull the docker image and push it to Kubernetes cluster

Main steps:
• Get the latest version of Kubernetes cluster so we can deploy it to Azure Kubernetes cluster
• Setting up the environment: Here we will configure three Azure resources namely Azure container registry, AKS, and Azure SQL server.
• Configure Build and Release pipeline: we will manually map Azure resources such as AKS and Azure Container Registry to the build and release definitions
• Trigger a Build and deploy application: Trigger a build manually and upon completion, an automatic deployment of the application will be triggered.
• Access the Kubernetes web dashboard in Azure Kubernetes Service (AKS): A short note on web dashboard in Azure Kubernetes that assists basic management operations.

Key Advantages of Azure Kubernetes Services (AKS)

• Hosts your Kubernetes environment.
• Quick and easy to deploy
• Hosted control plane
• Manages containerized applications without container orchestration expertise.
• Eliminates burden of ongoing operations and maintenance by provisioning, upgrading, and scaling resources on demand while keeping the application online.
• Continuous build option that creates Docker images for faster deployments and reliability.
• Create resources and infrastructure inside the Azure Kubernetes cluster through Deployments and services manifest files.