Azure Kubernetes Service | AKS

Quickly and seamlessly innovate, deploy, and operate Kubernetes with Azure Kubernetes Service (AKS)

Azure Kubernetes and DoiT

Azure Kubernetes Service makes it easy for you to quickly deploy a production-ready Kubernetes cluster in Azure. It does this by offloading the operational overhead to Azure. Create an AKS cluster and a control plane is automatically created and configured as a managed Azure resource abstracted from the user. There are several routes to creating an AKS cluster, including:

  • Azure CLI
  • Azure PowerShell
  • Azure portal
  • Template-driven deployment options, including Terraform, Azure Resource Manager templates and Bicep

Kubernetes is now one of the most important cloud-native technologies across the world, but it requires an advanced level of skills to deploy, configure, and manage a cluster. Not many organizations possess the in-house resources required to extract the most value from Kubernetes — and if they do, those resources may have other priorities. Fortunately, DoiT is available to provide the support for Kubernetes on Azure you need.

“We work with DoiT because their expertise helps us use AWS services at a higher level. It’s like turbocharging the benefits. The result is my engineers are focused on making the business better, not on the day-to-day of keeping it running. This is what people mean when they talk about working smarter.”

Nadav Shatz

Chief Technology Officer

Understanding Kubernetes on Azure Kubernetes

Managing Kubernetes clusters independently is complex and can be a burden for your team. Moving development functions to Azure Kubernetes service eases the burden by giving your engineers low-cost access to a production-like environment.

As well as the reduced management overhead, the key reasons why teams choose AKS are flexibility and automation. AKS not only automatically configures all of the Kubernetes nodes controlling and managing the worker nodes during deployment, but it also takes care of tAzure Active Directory (AD) integration, connections to monitoring services and configuration of advanced networking features.

AKS is a managed service, so Microsoft takes care of all Kubernetes upgrades for the service when new versions are released. Users can choose whether and when to upgrade the Kubernetes version in their own AKS cluster to minimize the potential for accidental workload disruption.

Scalability is not an issue because AKS nodes can scale up or down in response to fluctuations in resource demands. If you need extra processing power for compute-intensive workloads, AKS also supports node pools enabled by graphics processing units (GPUs).

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