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Containers are a way to package an application with everything it needs to run, including the code and all its dependencies. This packaging makes the application behave the same way no matter where it runs, whether on a developer's laptop or in the cloud. Azure Container Instances lets you run containers directly in Azure without managing any servers, which works well for simple tasks that need to run and then stop. Azure Kubernetes Service (AKS) is a more powerful option that manages a cluster of containers together, automatically handling tasks like load balancing, scaling, and keeping containers running even when something fails.
When you use containers in Azure, you typically store the container images in Azure Container Registry, which acts like a library for your packaged applications. The container orchestration layer decides which container should handle each request, monitors their health, and replaces any that stop working. Containers communicate with each other over a private network that Azure creates automatically, and they can access storage or databases just like other cloud resources. This approach works well for applications that need to scale quickly or run in multiple environments consistently.
Azure App Service is a fully managed platform that lets you host web applications without worrying about the underlying servers or operating systems. You simply deploy your code, and Azure handles the infrastructure, automatic scaling, security, and deployment pipeline. The service supports multiple programming languages including .NET, Java, Node.js, Python, and PHP, so teams can use the language they know best. App Service also includes built-in features for authentication, custom domains, SSL certificates, and connecting to databases.
When you create a web app in Azure App Service, you choose an App Service Plan that determines how much computing power your app receives and how much it costs. The plan controls the memory, storage, and number of instances that can run your application. You can configure the app to scale automatically based on metrics like CPU usage or number of requests, adding more instances during busy times and removing them when demand drops. Deployment slots let you test changes in a staging environment before swapping them into production, which reduces the risk of problems reaching your users.
Traffic flows from users through Azure's front-end, which handles SSL termination and distributes requests across your running instances. Each instance runs your application code in an isolated container, and the service automatically balances load and replaces any instance that becomes unhealthy. You can configure environment variables, connection strings, and application settings that your code reads at runtime without hardcoding sensitive information. This separation between code and configuration makes it easier to move your app between development, testing, and production environments.
Azure Functions is a serverless compute service that runs your code only when something triggers it, such as an HTTP request, a message arriving in a queue, or a timer reaching a specific time. You write small pieces of code called functions that do one specific task, and Azure automatically provisions the resources needed to run them, executes the code, then tears everything down when finished. This model means you only pay for the time your code actually runs, making it very cost-effective for workloads that are intermittent or unpredictable.
Functions can be triggered by many different events: an HTTP request from a web application, a new message in Azure Queue Storage or Service Bus, a scheduled timer, changes to files in Blob Storage, or webhooks from other services. When a trigger fires, Azure creates a small execution environment, runs your function code, and returns the result to whatever initiated the call. Functions often work as the connecting layer between different Azure services, processing data from one service and passing it to another.
Each function has bindings that define how it connects to other resources without you writing connection code. An input binding reads data from a service like a database, the function processes that data, and an output binding sends the result to another service. This binding system means you spend less time writing boilerplate code and more time solving business problems. Functions scale automatically based on the number of incoming triggers, and Azure manages all the infrastructure, operating system updates, and capacity planning behind the scenes.
Create and Configure an Azure Functions App
Create and Configure an Azure Functions App
A multi-stage Dockerfile helps you build efficient images by separating the compilation environment from the final runtime environment. The build stage compiles the application, and then only the …
A multi-stage Dockerfile helps you build efficient images by separating the compilation environment from the final runtime environment. The build stage compiles the application, and then only the …
Authentication verifies who a user is, while authorization decides what that user can do. Azure App Service handles authentication through built-in support for identity providers like Microsof…
Authentication verifies who a user is, while authorization decides what that user can do. Azure App Service handles authentication through built-in support for identity providers like Microsof…
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