This blog post is co-authored by MicrosoftWjakub smittvan CircleCI
Containerization increases the portability, scalability, and consistency of software delivery, enabling development teams to efficiently deploy complex workloads in the cloud. Modernizing legacy applications through containerization has become a critical process for enterprises seeking greater flexibility and responsiveness to adapt to market changes and customer demands.
To reduce the complexity of managing containerized applications at scale, teams can use a robust continuous integration and delivery (CI/CD) platform like CircleCI to build, test, and deploy managed orchestration platforms like Azure Kubernetes Service (AKS). CircleCI is a collaborative CI/CD platform serving over 2 million developers with over 90 million jobs per month. WITHWindows native supportFor cloud or self-hosted jobs and easy-to-use integrations with AKS, Azure Container Registry (ACR), and thousands of other third-party tools and services, CircleCI provides a fast, flexible, and scalable platform for building containerized Windows applications.
In this tutorial, you'll learn how to set up a CI/CI pipeline to build and deploy an ASP.NET application with Docker to an Azure Kubernetes Service cluster. It uses CircleCI bullets, pre-packaged pieces of YAML configuration, to easily integrate your pipeline with AKS. This solution enables efficient development, validation, and delivery of containerized Windows applications without manual intervention, eliminating development bottlenecks for faster, more reliable software delivery.
CircleCI isAthe leading platform for continuous integration and the delivery of large-scale software innovation. With intelligent automation and delivery tools, CircleCI is used by the world's best engineering teams to dramatically reduce time from idea to execution. Accelerate software delivery with advanced computing options and easy integrations while maintaining deep visibility and control over secure and compliant processes.
Whether you start with our generous free plan or take advantage of the more advanced features of our scalable plan, CircleCI is designed to grow with you as your business needs evolve. With 24/7 premium support, you'll have access to personalized onboarding assistance, regular optimization reviews, and on-demand customer support to ensure your value flows without interruption.Add best-in-class CI/CD CircleCIin the toolchain to streamline development, increase productivity, and drive better business results for your organization.
- Knowledge of Docker and Docker Desktop installed on a local computer. You can follow the docker tutorial forramenzMac operating system.
- Alight bluean account with an active subscription
- Basic knowledge of building apps using the ASP.NET Core framework
- light blueCLIinstalled on your workstation
- Alight blueBill
set the environment
To demonstrate the concepts in this article, use abasic .NET application- a weather API that gives you a naive forecast for the week. WearlocoTo clone the sample app into your development environment:
clone git https://github.com/CIRCLECI-GWP/docker-dotnet-app-aks
Go to the cloned folder:
Authentication with Azure
You must be authenticated to run commands through the Azure CLI. Do this with the following command:
and log in
This will open a new window in your browser. Enter your email address and password to complete the authentication process. Once the authentication process is complete, the subscription details are printed on the terminal. Pay special attention to the "id" key, as it is used when creating the service principal.
If you haven't already done so, create a new service principal with the following command:
az ad sp create-for-rbac --nombre
--scopes /subscriptions/ --role owner
In the command `
Container Registry Configuration
Create a new resource group with the following command:
group az create --name AzureRG --location eastus
Then create a new container registry with the following command:
az acr create --resource-group AzureRG --name dotnetaksdemo --sku Básico
Attention:The record name must be unique. If you get a message like "dotnetaksdemo.azurecr.io record's DNS name is already in use", choose a different and unique name. You can also use the so-calledRecords-APIto check the available names. However, in the rest of the article, the registry name is referred to as "dotnetaksdemo".
After successfully configuring the registry, you can create the Docker image and upload it to the registry.
Build the docker image
The sample app contains a Dockerfile that contains instructions that Docker will use to build and maintain the API. Specify the DNS name of the record when creating the application:
docker build -t dotnetaksdemo.azurecr.io/dotnetapi-aks-app:latest .
Attention:Replace "dotnetaksdemo.azurecr.io" and "dotnetapi-aks-app" with the names of your choice for the registration URL and login server information.
You can run the docker image locally with the following command.
docker run -d -p 5001:80 dotnetaksdemo.azurecr.io/dotnetapi-aks-app
The application runs on port 5001.
Push the Docker image to Azure Container Registry
Once the build process is complete, you can push the image to your container's registry. To do this, you must first authenticate with the container registry. Do this with the following command:
eco $AZURE_SP_PASSWORD | logowanie dokera dotnetaksdemo.azurecr.io -u $AZURE_SP --password-stdin
Attention:Replace `$AZURE_SP_PASSWORD` and `$AZURE_SP` with the service principal `password` and `appId` respectively.
Enter the container registry with the following command:
push docker dotnetaksdemo.azurecr.io/dotnetapi-aks-app
To confirm if the image has been deployed, you can run the following command:
az acr repository list - name dotnetaksdemo - output table
You will see this output:
Create an Azure Kubernetes Service cluster
To create an AKS cluster, the Azure CLI must be connected to yoursblue bead.
To start a new AKS cluster named "DotnetCluster" with a 2-node cluster in resource group "AzureRG" using the Azure CLI, run the following command:
az aks create --resource-group AzureRG --name DotnetCluster \ --node-count 2 --enable-addons http_application_routing \ --generate-ssh-keys --service-principal
\ --client-secret \ --attach-acr dotnetaksdemo
Attention:Update the `
The above command provides service principal details and associates the previously created Azure Container Registry with the AKS cluster.
Configure Kubernetes manifests
The next step is to configure the Kubernetes manifests for your deployment. In the root of his project, he creates a new folder called "manifests". This folder contains all the Kubernetes YAML configuration.
he goes firstBowlsetting. In the `manifests` folder, create a new file called `deployment.yaml` and add it:
apiVersion: apps/v1kind: Deploymentmetadata: name: dotnetapi namespace: dotnetapi labels: application: dotnetapispec: repliki: 3 selektor: matchLabels: application: dotnetapi template: metadata: labels: application: dotnetapi spec: nodeSelector: "beta.kubernetes. io/ os": kontenery systemu Windows: - nazwa: dotnetapi-aks-app image: porty dotnetapi-aks-app: - nazwa: http containerPort: 80
Then addnamespacesetting. Create a file called `namespace.yaml` and add it:
apiVersion: v1kind: Naamruimtemetadata: name: dotnetapi tags: name: dotnetapi
Then addUsesetting. Create a new file called "service.yaml" and add it:
apiVersion: v1kind: Servicemetadata: name: dotnetapi namespace: dotnetapi tags: application: dotnetapispec: type: LoadBalancer ports: - port: 80 targetPort: 80 selector: application: dotnetapi
Finally, add the configuration forpersonalize. Create a new file called `kustomization.yaml` and add it:
apiVersion: kustomize.config.k8s.io/v1beta1kind: Kustomizationresources: -ployment.yaml - service.yaml - namespace.yamlnamespace: dotnetapiimages: - name: dotnetapi-aks-app newName:
The final piece of the puzzle is the CircleCI pipeline, which automates and streamlines the entire update deployment process. In the root of the project, create a new folder called `.circleci` and add a new file called `config.yml`. Add the following to the newly created file:
version: 2.1 orbs: azure-aks: firstname.lastname@example.org kubernetes: email@example.com jobs: build-docker-image: docker: - image: cimg/base: 2023.05 steps: - pay - setup_remote_docker : docker_layer_caching: true - run: name: Build and push docker image command: | docker build -t dotnetaksdemo.azurecr.io/dotnetapi-aks-app:$CIRCLE_SHA1 . echo $AZURE_SP_PASSWORD | docker login dotnetaksdemo.azurecr.io -u $AZURE_SP --password-stdin docker push dotnetaksdemo.azurecr.io/dotnetapi-aks-app:$CIRCLE_SHA1 aks-deploy: docker: -image: cimg/base:2023.05 parameters: cluster- name: description: | AKS Cluster Type Name: Resource Group String: Description: | The resource group the cluster is in: sequence of steps: - check out - run: name: pull Updated repository code: | git pull origin $CIRCLE_BRANCH -azure-aks/update-kubeconfig-with-credentials: cluster-name: << parameters.cluster-name >> install-kubectl: true perform-login: true resource-group: << parameters. resource group >> - kubernetes/create-or-update-resource: resource-file-path: manifests/$APP_NAME.yaml resource-name:kustomization/$APP_NAME bump-docker-tag-kustomize: docker: - image: cimg /base: 2023.05 steps: - run: name: Installkustomize command: | URL=https://github.com/kubernetes-sigs/kustomize/releases/download/kustomize/v4.5.2/kustomize_v4.5.2_linux_amd64.tar.gz curl -L $URL | tar zx [ -w /usr/local/bin ] && SUDO="" || SUDO=sudo $SUDO chmod +x ./kustomize $SUDO mv ./kustomize /usr/local/bin - checkout - run: name: Bump Docker Tag. command: | cd manifests customize image set $APP_NAME=$ACR_LOGIN_SERVER/$APP_NAME:$CIRCLE_SHA1 customize build. > $APPLICATION_NAME.yaml - add_ssh_keys: fingerprints: - "$SSH_FINGERPRINT" - execute: name: Commit & Push to GitHub command: | git config user.email "$GITHUB_EMAIL" git config user.name "CircleCI User" git checkout $CIRCLE_BRANCH git add manifests/$APP_NAME.yaml git add manifests/kustomization.yaml git commit -am "Bumps docker tag [skip ci]" git push origin $CIRCLE_BRANCHworkflows: Deploy-App-on-AKS: jobs: -build-docker-image -bump-docker-tag-kustomize: required: -build-docker-image -aks-deploy: cluster-name: $CLUSTER_NAME resource group: $RESOURCE_GROUP requires: - bump-docker-tag-kustomize
This is the configuration file for the CircleCI pipeline. A pipeline consists of workflows, which are collections of tasks made up of individual steps or executable commands. This configuration file specifies three tasks:
- `build-docker-image` creates an updated Docker image with the code checked out from the appropriate GitHub repository and pushes that code to the Azure Container Registry.
- `bump-docker-tag-kustomize` updates the Docker image tag and the necessary Kubernetes configuration.
- "aks-deploy" deploys changes to an Azure Kubernetes Service (AKS) cluster.
Note the use of the orbs key at the top of the config file. Orbs are reusable code snippets that help automate repetitive processes, speed up project setup, and make it easier to integrate third-party tools from CircleCI technology partners and community members into your CI/CD pipeline. In this case, you'll use two bullet points to simplify AKS and Kubernetes tasks:
The azure-aks bullet provides simplified commands for operations such as authenticating with AKS, updating 'kubeconfig', deploying resources, and more. Kubernetes Orb simplifies tasks like creating or updating Kubernetes resources, validating configuration files, managing secrets and configuration mappings, and interacting with a Kubernetes cluster using kubectl. Read more about crutches inCircleCI Documentation.
Also note the use of `docker_layer_caching: true`. This will enable CircleCI's Docker layer caching feature, which saves and caches the Docker image layers created in your jobs for reuse in future builds. Docker's layer caching can save a significant amount of build time by ensuring that only layers that have changed are rebuilt the next time the pipeline runs.
To run this project in your CircleCI account, you must upload your code to a repository in your GitHub account. Create a new repository and run the following commands. Don't forget to replace `REPOSITORY_URL` with the URL of your newly created repository:
git remoto set-url origen
git add .git commit -m "Pot CI/CD Configuration" git push origin main
Configuring a project in CircleCI
Then connect the Github repository to your CircleCI account. go to youPanel CircleCIand select the Projects tab in the left pane. ClickTo set up the projectcorresponding to the GitHub repository that contains the code.
The next step is to select the `config.yml` file. You can useThe fastestoption because you have included the configuration in your repository. Enter the name of the branch (in our case, 'main') and click onTo set up the project.
On the first run, the process fails because the user key was not set and all the environment variables needed by CircleCI to run the pipeline successfully were not added.
Select to set a user passwordClaves SSHin the left pane of the Project Settings page. In the User Key section, clickAuthorize with GitHub. CircleCI uses your user key to make changes to your GitHub account on behalf of the repository owner during the workflow.
Select to set environment variablesEnvironment Variablesin the left pane of the Project Settings page. ChooseAdd an environment variableand enter the environment variable and the value you want to assign to it.
These are the environment variables required for this project:
- `APP_NAME` is the name of the container image (`dotnetapi-aks-app`).
- `AZURE_SP` is the Azure service principal username.
- "AZURE_SP_PASSWORD" is the Azure service principal password.
- "AZURE_SP_TENANT" is the tenant identifier for the Azure service principal.
- "CLUSTER_NAME" is the name of the AKS cluster ("DotnetCluster").
- "RESOURCE_GROUP" is the name of the AKS resource group ("AzureRG").
- `SSH_FINGERPRINT` is the SSH fingerprint of the user's key that is used to push the updated Docker tag to GitHub.
Note: To find `SSH_FINGERPRINT`, go to Project Settings and selectClaves SSHfrom the sidebar. Scroll down to the User Key section and copy the key. This key will not be displayed until you click the buttonAuthorize with GitHubcommand.
These variables allow you to restart the workflow. However, instead of starting over, you can start from where the workflow failed.
This time, the whole process runs smoothly and the build status is "Successful":
Now, whenever you change your application's code, CircleCI will automatically create a new container image and push it to the Azure Container Registry, update the tags in the Kubernetes manifests, and deploy the new version of your application to your AKS cluster. Automating the development and deployment process increases team speed by eliminating time-consuming manual installation and eliminating the risk of costly configuration errors.
Access your applications in AKS
After deploying the application, you can now interact with the application hosted on the AKS cluster. To do this, you need the external IP address of the AKS cluster:
az aks get-credentials --resource-group AzureRG --name DotnetClusterkubectl get all --namespace dotnetapi
To access their API go to `http://
Next steps and conclusions
Adding continuous integration and delivery to your application development process can significantly reduce the complexity and burden of managing containerized applications. In this tutorial, you'll learn how to create a fast and secure CI/CD pipeline with CircleCI to automatically build and deploy a containerized Windows application to Azure Kubernetes Service. You can then extend the functionality of your pipeline by adding automated tests and DevSecOps tools likeapplication and image scansto increase the safety and reliability of container loads.
Learn more about how to speed up the Windows development lifecycle with continuous integration and delivery.contact CircleCIfor a personalized demo today.
AKS requires Windows Server containers to be based on images of Windows Server 2019 or greater. The Kubernetes manifest file must also define a node selector to tell your AKS cluster to run your ASP.NET sample application's pod on a node that can run Windows Server containers.How do Windows containers work? ›
Windows containers allow users to package applications with their dependencies and leverage operating system-level virtualization to provide fast, fully isolated environments on a single system. Learn how to use Windows containers with our quick start guides, deployment guides, and samples.How do you transition to continuous deployment? ›
- Make it a gradual transition. ...
- Aim for Continuous Delivery first, then move towards Continuous Deployment. ...
- Start with simple, low-risk code changes. ...
- Step 1: Set up your pipeline. ...
- Step 2: Tests. ...
- Step 3: Set up centralized logging or error management. ...
- Step 4: Use feature flags.
- Step 1: Create a deployment environment. ...
- Step 2: Get a copy of the sample code. ...
- Step 3: Create your pipeline. ...
- Step 4: Activate your pipeline to deploy your code. ...
- Step 5: Commit a change and then update your app. ...
- Step 6: Clean up your resources.
Scheduling Windows containers in Pods on Kubernetes is similar to scheduling Linux-based containers. In order to run Windows containers, your Kubernetes cluster must include multiple operating systems. While you can only run the control plane on Linux, you can deploy worker nodes running either Windows or Linux.How do I deploy a Windows container in Azure? ›
- 1 - Create an ASP.NET web app. ...
- 2 - Publish to Azure Container Registry. ...
- 3 - Create a Windows custom container. ...
- 4 - Browse to the custom container. ...
- 5 - See container start-up logs. ...
- 6 - Update locally and redeploy. ...
- 7 - Clean up resources.
Windows container images are common across both Windows Server containers and Hyper-V isolation. The choice of container type is made when you start the container. From a developer standpoint, Windows Server containers and Hyper-V isolation are two flavors of the same thing.Is it possible to run Windows containers? ›
You can also run containers natively on Windows Server. Develop, test, publish, and deploy Windows-based containers using the powerful container support in Visual Studio and Visual Studio Code, which include support for Docker, Docker Compose, Kubernetes, Helm, and other useful technologies.What are the 5 steps of continuous deployment? ›
Stages of the Continuous Delivery Pipeline. A continuous delivery pipeline consists of five main phases—build/develop, commit, test, stage, and deploy.What are the 5 steps of deployment? ›
The Five Stages
These stages are comprised as follows: pre-deployment, deployment, sustainment, re-deployment and post-deployment. Each stage is characterized both by a time frame and specific emotional challenges, which must be dealt with and mastered by each of the Family members.
It typically includes automation of additional steps in releasing new software to minimize the manual processes required. For example, a continuous deployment pipeline may automatically release the development team's changes from the repository to the production environment, where customers can use it.What is the difference between continuous and continuous deployment? ›
Continuous delivery automates deployment of a release to an environment for staging or testing. Continuous deployment automatically deploys every release through your pipeline (including testing) and to production. While they are different, continuous deployment is an extension of the continuous delivery concept.What is the difference between continuous delivery and deployment? ›
Continuous Delivery is a software engineering practice where the code changes are prepared to be released. Continuous Deployment aims at continuously releasing the code changes into the production environment.Can Windows container have a GUI? ›
Windows containers don't have the underlying GUI components available, so you can't run any desktop application on Windows containers.How to run Windows container Docker? ›
To switch to Windows containers in Docker, right-click the Docker icon, and select Switch to Windows containers. To use the command line to switch between containers, run & $Env:ProgramFiles\Docker\Docker\DockerCli.exe -SwitchDaemon .Can you run containers without Kubernetes? ›
The short and simple answer is yes, Docker can function without Kubernetes. You see, Docker is a standalone software designed to run containerized applications. Since container creation is part of Docker, you don't need any separate software for Docker to execute.What is the best way to run containers in Azure? ›
Container Instances – Azure Container Instances is the easiest way to run containers on Azure. Either through the Azure Portal or through one of the many automation tools on Azure, you can quickly and easily spin up single containers that can scale quickly.How do I mount an Azure storage container in Windows? ›
- Sign in to the Azure portal.
- Navigate to the storage account that contains the file share you'd like to mount.
- Select File shares.
- Select the file share you'd like to mount.
- Select Connect.
- Select the drive letter to mount the share to.
- Copy the provided script.
- Creating a Dockerfile.
- Building an Image from Dockerfile.
- Validate if the Image is created and Listed.
- Optionally upload to docker Hub to share with the world.
- Start the Container from Image.
- Create Manifest file for kubernetes.
- Build and Create a POD from Manifest file.
Windows Containers share the same kernel mode, but virtualize the user-mode, to create multiple container user-modes, one for each container. Hyper-V Containers run their own kernel mode, user-mode and container user-mode. This provides an isolation layer among Hyper-V Containers.
Containers are more lightweight than VMs, as their images are measured in megabytes rather than gigabytes. Containers require fewer IT resources to deploy, run, and manage. Containers spin up in milliseconds. Since their order of magnitude is smaller.What is the difference between Windows container and Hyper-V container? ›
Although Windows Server containers and Hyper-V containers do the same thing and are managed the same way, the level of isolation they provide is different. Windows Server containers share the underlying OS kernel, which makes them smaller than VMs because they don't each need a copy of the OS.What are the three types of containers? ›
- Sequential Containers.
- Associative Containers.
- Unordered Containers.
With the goal of maximizing application compatibility, the C: drive in a Windows container represents a virtual free size of 20GB. Some users may want to override this default and configure the free space to a smaller or larger value.
- Right-click the Docker tray icon and select Properties.
- Select "Settings" from the drop-down menu.
- Select "Kubernetes" from the left panel.
- Check Enable Kubernetes and click "Apply"
You can run Windows containers with or without Hyper-V isolation. Hyper-V isolation creates a secure boundary around the container with an optimized VM. Unlike standard Windows containers that share the kernel between containers and the host, each Hyper-V isolated container has its own instance of the Windows kernel.What are the 4 types of deployment? ›
There are four cloud deployment models: public, private, community, and hybrid. Each deployment model is defined according to where the infrastructure for the environment is located.What are the 4 deployment environments? ›
The major deployment environments used in software development are production, staging, UAT, development, and preview environments (or in other words, ephemeral environments").What is the 3 phase approach of deployment? ›
Generally speaking, the testing flow consists of three phases: pre-deploy, deploy and post-deploy.What are the four stages of deployment cycle? ›
These stages are comprised as follows: pre-deployment, deployment, sustainment, re-deployment and post- deployment. Each stage is characterized both by a time frame and specific emotional challenges, which must be dealt with and mastered by each of the Family members.
Systematic communication is an important part of deployment management. Check point meetings need to include decision makers, so that decisions can be made at the spot. With these steps you will avoid many common issues in deployments.What are the basic deployment steps? ›
The deployment process flow consists of 5 steps: Planning, development, testing, deploying, and monitoring.Is Kubernetes a CI CD tool? ›
To automate Kubernetes application development and deployment, DevOps teams use continuous integration and continuous delivery/deployment (CI/CD). CI/CD refers to a set of best practices for building, testing, and releasing applications for most modern DevOps teams.What are CI and CD tools? ›
CI/CD tools can help a team automate their development, deployment, and testing. Some tools specifically handle the integration (CI) side, some manage development and deployment (CD), while others specialize in continuous testing or related functions.Is Jenkins a CI or CD? ›
What is Jenkins? Jenkins is an open-source automation tool for Continuous Integration (CI) and Continuous Deployment (CD). It is a server-based system that runs in servlet containers like Apache Tomcat.Which tool is used for continuous deployment in DevOps? ›
Shippable. It is a DevOps tool for continuous delivery. It is associated with docker pipelines for continuous integration and quick delivery. It also supports multi-tier applications.What is a real-life example of continuous integration? ›
A real-life example of a company using continuous integration is Buzzfeed. In an industry where every second counts, the digital media house uses CI tools like GitHub as a central repository for open code, allowing anyone with access to automatically build and run code.What is a real time example of continuous integration? ›
CI/CD pipelines real-life example
Netflix and Facebook are the prime examples that have successfully implemented CI/CD pipelines to deliver software updates and features quickly and with high quality. Netflix uses a custom-built platform called Spinnaker to manage its CI/CD pipelines.
Typically, this requires a smoke test, light user acceptance testing, and a stress and performance test, which must occur in a production setting.What are the three basic steps of continuous integration? ›
Continuous integration, deployment, and delivery are three phases of an automated software release pipeline, including a DevOps pipeline. These three phases take software from idea to delivery to the end-user. The integration phase is the first step in the process.
Without effective stakeholder review, code review, automated testing, and observability in place, continuous delivery increases the risk of things going wrong. It can lead you to the same sort of complex multi-layered problems that large batches create.What are three components of the continuous delivery pipeline? ›
- Component phase.
- Subsystem phase.
- System phase.
- Production phase.
Continuous deployment is a strategy in software development where code changes to an application are released automatically into the production environment. This automation is driven by a series of predefined tests. Once new updates pass those tests, the system pushes the updates directly to the software's users.What is the benefit of continuous deployment? ›
Benefits of continuous integration-continuous deployment (CI-CD) Smaller code changes are simpler (more atomic) and have fewer unintended consequences. Fault isolation is simpler and quicker. Mean time to resolution (MTTR) is shorter because of the smaller code changes and quicker fault isolation.What type of containers does Kubernetes support? ›
Kubernetes supports many container runtimes, including containerd, Docker Engine, CRI-O, and Mirantis Container Runtime. Docker is the most frequently used Kubernetes container runtime, which is why some Kubernetes container management discussion does include general Docker terms.Does Azure support containers? ›
Manage containers at scale with a fully managed Kubernetes container management and orchestration service that integrates with Azure Active Directory. Wherever you are in your app modernization journey, accelerate your containerized application development while meeting your security requirements.
AKS supports Ubuntu 22.04 as the only node operating system (OS) for clusters with Kubernetes 1.25 and higher. Ubuntu 18.04 can also be specified at nodepool creation for Kubernetes versions 1.24 and below.What is the best container runtime for Kubernetes? ›
containerd is the most popular container runtime engine, and is managed, developed, and used by Docker. It uses runC under the hood for container execution. CRI-O was specifically designed for Kubernetes by Red Hat. CRI-O is a CRI implementation that enables using any OCI compatible runtime.Which three types of containers does Microsoft currently support? ›
- Azure Kubernetes Service (AKS) - use a managed Azure Kubernetes service.
- Azure Kubernetes Service (AKS) on Azure Stack HCI - use Azure Kubernetes Service on-premises.
No more than 110 pods per node. No more than 5,000 nodes. No more than 150,000 total pods. No more than 300,000 total containers.
AKS offers built-in monitoring. Azure Monitor for containers helps you gain visibility into the performance of your clusters. A self-hosted Kubernetes installation, or ACI without Kubernetes, requires a manual installation and configuration of a monitoring solution. Scaling containerized environments can be complex.Is AKS better than web app for containers? ›
AKS outperforms Azure AppService in terms of pricing, with an average cost savings of 30%. A free container service called Azure Kubernetes Service (AKS) makes it easier to deploy, manage, and run Kubernetes as a fully managed Kubernetes container orchestrator service.What is the difference between Kubernetes and AKS? ›
Kubernetes is the de-facto open source platform for container orchestration but typically requires a lot of overhead in cluster management. AKS helps manage much of the overhead involved, reducing the complexity of deployment and management tasks.What is the difference between service and deployment in AKS? ›
What's the difference between a Service and a Deployment in Kubernetes? A deployment is responsible for keeping a set of pods running. A service is responsible for enabling network access to a set of pods. We could use a deployment without a service to keep a set of identical pods running in the Kubernetes cluster.Does AKS need its own subnet? ›
You need to use the subnet ID for where you plan to deploy your AKS cluster. This subnet also must be associated with your custom route table.