Deploy and manage Kubernetes with ease
Easily provision clusters via the Azure portal and Azure CLI, or with infrastructure as code tools such as Azure Resources Manager and Terraform. Simplify cluster maintenance with automated upgrades and scaling. And gain operational visibility into your managed Kubernetes environment with control plane telemetry, log aggregation, and container health visible as part of the Azure portal, automatically configured for AKS clusters.
Scale and run applications with confidence
Meet growing demands with built-in application autoscaling. Deploy your containerized applications globally on AKS, taking advantage of Azure datacenters. Boost application performance by routing traffic to the closest region using Azure Traffic Manager. With the Virtual Kubelet support (preview), use Azure Container Instances to elastically burst from your AKS cluster when traffic comes in spikes.
Secure your Kubernetes environment
Control access to your Kubernetes cluster with Azure Active Directory accounts and user groups. For fine-grained control over Kubernetes resources, integrate Azure Active Directory with Kubernetes role-based access controls. Safeguard cryptographic keys and other secrets used by Kubernetes master and agent nodes with Key Vault. Secure your container network communication with custom virtual networks, Azure Container Network Interface (CNI) , and network policy enforcement.
Accelerate containerized application development
Get started with minimal dev machine setup. Easily define, install, and upgrade even the most complex Kubernetes applications using Helm and automatically scaffold and containerize your applications. Iteratively develop, test, and debug your containers using Azure Dev Spaces and Visual Studio, Visual Studio Code, or Azure CLI. Share an AKS cluster and collaboratively work together without needing to replicate or mock up dependencies. Deploy apps in seconds with built-in HTTP routing.
Work how you want with open-source tools and APIs
AKS is 100-percent open-source Kubernetes, enabling you to take full advantage of the services and tools in the Kubernetes ecosystem. Use popular open-source tools like Helm, Draft, and Brigade to automate your software delivery pipeline. Easily integrate Kubernetes with SLA-backed Azure Services, such as CosmosDB, using the Open Service Broker for Azure.
Set up CI/CD in a few clicks
With Azure DevOps Project (Preview), you can install an application into Kubernetes with a full CI/CD pipeline and app telemetry in just three steps. Use Azure Container Registry to simplify container development and manage a single registry replicated across multiple regions. Geo-replication from Azure Container Registry enables you to manage global deployments as one entity to simplify operations and management.
Free e-book: Designing Distributed Systems
Explore how repeatable, generic patterns and reusable components can make developing distributed systems easier and more efficient—so you can focus more time on development. Get the free O’Reilly e-book by Brendan Burns, Distinguished Engineer at Microsoft and co-founder of the Kubernetes project.
Energy company rapidly develops, builds, tests, deploys and monitors microservices applications running in containers.
Travel company uses AKS to develop groundbreaking digital signage technology with AI in containers.
Azure Kubernetes Service common scenarios
Easily migrate existing application
Easily migrate existing application to container(s) and run within the Azure managed Kubernetes service (AKS). Control access via integration with Azure Active Directory and access SLA-backed Azure Services such as Azure Database for MySQL using OSBA (Opensource Broker for Azure) for your data needs.
Simplify the deployment and management of Microservices based applications
Use AKS to simplify the deployment and management of microservices based architecture. AKS streamlines horizontal scaling, self-healing, load balancing, secret management.
IoT device deployment and management on demand
IoT scenarios can potentially involve hundreds to thousands of IoT devices. AKS provides scalable compute resources on demand for IoT solutions, running in the cloud or on-premises.
Machine Learning model training with AKS
Training of models using large datasets is a complex and resource intensive task. Use familiar tools such as TensorFlow and Kubeflow to simplify training of Machine Learning models. Your ML models will run in AKS clusters backed by GPU enabled VMs.
Scale with ease using AKS and ACI
Use the ACI Connector to provision pods inside ACI that start in seconds. This enables AKS to run with just enough capacity for your average workload. As you run out of capacity in your AKS cluster, scale out additional pods in ACI without any additional servers to manage.
Related products and services