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Continuous Deployment (CD) and Continuous Integration (CI) automate the build, test, and deployment of applications. In Azure App Service, you set up CI/CD pipelines so that code changes from your source control repository automatically deploy to your web app, keeping the application current without manual work.
To enable CI/CD, use the Deployment Center in the Azure portal. Here, you connect your source control repository—such as GitHub, Azure DevOps, or Bitbucket—and configure the build provider. The build provider automates building your application and deploying it to App Service whenever new commits are pushed to the specified branch. For example, choosing GitHub Actions as your build provider generates a workflow file in your repository that handles the build and deployment tasks.
The configuration process involves selecting your repository type, authorizing access, and specifying the branch and build settings. You can choose between basic authentication and user-assigned managed identity for enhanced security. Your repository must contain the necessary files for automated builds, such as package.json for Node.js or .csproj for .NET applications. The Deployment Center provides a preview of the workflow file before saving, allowing you to customize it if needed.
To maintain different configurations for various environments—development, staging, production—use application settings and connection strings in Azure App Service. These settings can be managed directly in the Azure portal or through your CI/CD pipeline. For instance, you can use Azure Key Vault references to securely store secrets and inject them into your application during deployment. This approach ensures sensitive information is not hard-coded in your repository and allows for easy updates without redeploying the application.
Implementing CI/CD pipelines with Azure App Service improves deployment reliability and reduces manual errors. Use deployment slots for staging environments, allowing you to test changes before swapping them into production. Integrating with Azure Pipelines or GitHub Actions provides greater control over the build process and supports advanced scenarios like custom scripts or multi-stage deployments. By automating these processes, you achieve faster release cycles and more consistent application updates.
Azure Kubernetes Service (AKS) is a managed Kubernetes service that simplifies deploying, managing, and operating containerized applications in Azure. It abstracts away cluster provisioning, patching, and scaling, providing container orchestration and automated control plane management. With AKS, developers focus on application logic while Azure handles infrastructure management and updates. The service integrates with Azure networking, storage, and identity solutions, making it easy to deploy secure and scalable microservices architectures.
To configure and manage an AKS cluster, choose from tools such as ARM templates for declarative infrastructure-as-code, Azure CLI for scripting and automation, or the Azure Portal for interactive management. You define parameters like agentPoolProfiles, SSH public keys, and DNS prefixes in your templates or CLI commands to automate cluster creation and enable repeatable deployments. Node pools let you isolate workloads and optimize resources by using different VM types. AKS supports system-assigned managed identities for secure access to other Azure resources such as Azure Container Registry (ACR) and Azure Disks.
Deploying containerized workloads to AKS involves creating Kubernetes Deployment and Service YAML files or using Helm charts. You specify container images hosted in ACR and configure port mappings, environment variables, and resource requests. AKS supports two main workload types: stateless applications such as web front ends, and stateful applications that use Persistent Volumes and Azure Disks or Azure Container Storage. Use kubectl apply to deploy resources and kubectl get pods to monitor pod status and troubleshoot issues in real time.
AKS offers built-in scaling and upgrade strategies to ensure seamless performance and high availability. The Cluster Autoscaler automatically adjusts node counts based on pending pod demands, while the Horizontal Pod Autoscaler scales pods by CPU or custom metrics. To maintain service continuity during upgrades, configure Pod Disruption Budgets and set maxUnavailable values. For region-level resilience, deploy clusters across availability zones and distribute replicas to minimize downtime during zone failures.
Azure App Service uses three main parts to move code from development to the cloud. A deployment source is where your code lives, such as GitHub or Azure Repos. The build pipeline takes that code and prepares it for running, while the deployment mechanism places the files into the web app's directory. Using these components together creates a smooth path for your application to reach users.
Deployment slots are live apps with their own host names that allow you to test code in a staging environment before it goes live. By using slots, you can perform a slot swap, which moves your tested code into the production slot without any downtime. This process ensures your app is fully warmed up and validated before customers see the changes.
Implementing specific strategies helps manage how updates are released to minimize risk. A blue-green deployment uses two identical environments where one is live and the other is idle for updates. Canary deployments allow you to test new features on a small group of users before rolling them out to everyone. Key strategies include:
When deploying containerized solutions, you must manage images within a container registry. Instead of using a generic "latest" tag, tag images with specific versions or commit IDs to make debugging easier. The deployment process involves building and tagging the container image with a unique identifier, pushing the image to a central storage like Azure Container Registry, and updating the web app to pull the new image tag and restart the service.
Properly managing deployment settings is vital for the performance and security of your web app. You can configure startup commands to run specific scripts when a container starts or set the runtime stack to match your application's language. Storing secrets in application settings or Azure Key Vault ensures sensitive data remains protected during the deployment process.
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