What is Azure Container Instances?
Containers are becoming the preferred way to package, deploy, and manage cloud applications. Azure Container Instances offers the fastest and simplest way to run a container in Azure, without having to manage any virtual machines and without having to adopt a higher-level service.
Azure Container Instances is a great solution for any scenario that can operate in isolated containers, including simple applications, task automation, and build jobs. For scenarios where you need full container orchestration, including service discovery across multiple containers, automatic scaling, and coordinated application upgrades, we recommend Azure Kubernetes Service (AKS).
Fast startup times
Containers offer significant startup benefits over virtual machines (VMs). Azure Container Instances can start containers in Azure in seconds, without the need to provision and manage VMs.
Azure Container Instances enables exposing your container groups directly to the internet with an IP address and a fully qualified domain name (FQDN). When you create a container instance, you can specify a custom DNS name label so your application is reachable at customlabel.azureregion.azurecontainer.io.
Azure Container Instances also supports executing a command in a running container by providing an interactive shell to help with application development and troubleshooting. Access takes places over HTTPS, using TLS to secure client connections.
Starting January 13, 2020, Azure Container Instances will require all secure connections from servers and applications to use TLS 1.2. Support for TLS 1.0 and 1.1 will be retired.
Historically, containers have offered application dependency isolation and resource governance but have not been considered sufficiently hardened for hostile multi-tenant usage. Azure Container Instances guarantees your application is as isolated in a container as it would be in a VM.
Containers are typically optimized to run just a single application, but the exact needs of those applications can differ greatly. Azure Container Instances provides optimum utilization by allowing exact specifications of CPU cores and memory. You pay based on what you need and get billed by the second, so you can fine-tune your spending based on actual need.
For compute-intensive jobs such as machine learning, Azure Container Instances can schedule Linux containers to use NVIDIA Tesla GPU resources (preview).
To retrieve and persist state with Azure Container Instances, we offer direct mounting of Azure Files shares backed by Azure Storage.
Linux and Windows containers
Azure Container Instances can schedule both Windows and Linux containers with the same API. Simply specify the OS type when you create your container groups.
Some features are currently restricted to Linux containers:
- Multiple containers per container group
- Volume mounting (Azure Files, emptyDir, GitRepo, secret)
- Resource usage metrics with Azure Monitor
- Virtual network deployment
- GPU resources (preview)
For Windows container deployments, use images based on common Windows base images.
Use of Windows Server 2019-based images in Azure Container Instances is in preview.
Azure Container Instances supports scheduling of multi-container groups that share a host machine, local network, storage, and lifecycle. This enables you to combine your main application container with other supporting role containers, such as logging sidecars.
Virtual network deployment
Currently available for production workloads in a subset of Azure regions, this feature of Azure Container Instances enables deployment of container instances into an Azure virtual network. By deploying container instances into a subnet within your virtual network, they can communicate securely with other resources in the virtual network, including those that are on premises (through VPN gateway or ExpressRoute).
Try deploying a container to Azure with a single command using our quickstart guide: