![]() The tutorial isn't Python-specific, but the concepts show apply to all languages.Īzure Kubernetes Service (AKS) is an open source container and cluster management tool that is often referred to as an orchestration system. For an example, see the tutorial Create a container image for deployment to Azure Container Instances. Concepts like scale, load balancing, and certificates aren't provided with ACI containers, and ACI is a lower-level "building block" option compared to ACA. For an example, see Deploy a Flask or FastPI web app on Azure Container Apps.Īzure Container Instances (ACI) is a serverless offering, billed on consumption rather than provisioned resources. Container Apps are a good for web applications including web sites and web APIs. Container Apps provides many application-specific concepts on top of containers, including certificates, revisions, scale, and environments. For an example, see Deploy a Flask or FastPI web app on Azure App Service.Īzure Container Apps (ACA) is a fully managed serverless container service for containers. Containerized web apps on Azure App Service can scale as needed and use streamlined CI/CD workflows with Docker Hub, Azure Container Registry, and GitHub. Web App for Containers provides an easy on-ramp for developers to take advantage of the fully managed Azure App Service platform, but who also want a single deployable artifact containing an app and all of its dependencies. Python container apps are supported in the following services. The end goal of these workflows is to have a container running in one of the Azure resources supporting Docker containers as listed in the next section.Ī dev environment can be your local workstation with Visual Studio Code or P圜harm, Codespaces (a development environment that's hosted in the cloud), or Visual Studio Dev Containers (a container as a development environment). Push: To registry like Azure Container Registry, Docker Hub, or private registry. Push: To a registry like Azure Container Registry, Docker Hub, or private registry.įrom your dev environment, build Python Docker images in Azure.Ĭode: git clone code to dev environment (not necessary for Docker to be installed).īuild: VS Code (with extensions), Azure CLI.Īll in the cloud use Azure Cloud Shell to build Python Docker images code from GitHub repo.Ĭode: git clone GitHub repo to Azure Cloud Shell.īuild: In Azure Cloud Shell, use Azure CLI or Docker CLI. Test: In dev environment in a Docker container. Described in section Working with Python Docker images and containers. Container workflow scenariosįor Python container development, some typical workflows for moving from code to container are: Scenarioīuild Python Docker images in your dev environment.Ĭode: git clone code to dev environment (with Docker installed).īuild: Use Docker CLI, VS Code (with extensions), P圜harm (with plugin). The language-specific considerations - Python in this case - are in the configuration during the containerization process in Azure, in particular the Dockerfile structure and configuration supporting Python web frameworks such as Django, Flask, and FastAPI. The nature of Docker containers is that creating a Docker image from code and deploying that image to a container in Azure is similar across programming languages. Discussed are the general process of containerization, deployment options for containers in Azure, and Python-specific configuration of containers in Azure. This article describes how to go from Python project code (for example, a web app) to a deployed Docker container in Azure.
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