Azure Kubernetes Service

Kubernetes is by far the most popular container orchestration tool, yet the complexities of managing the tool have led to the rise of fully-managed Kubernetes services over the past few years. Although Azure supports multiple container tools, it’s now going all-in on Kubernetes and will deprecate its original offerings this year. The great part about cloud-based managed Kubernetes services like Azure Kubernetes Service (AKS) is that it integrates natively with other Azure services, and you don’t have to worry about managing the availability of your underlying clusters, auto scaling, or patching your underlying VMs.

What is Azure Kubernetes Service?

 AKS is an open-source fully managed container orchestration service that became available in June 2018 and is available on the Microsoft Azure public cloud that can be used to deploy, scale and manage Docker containers and container-based applications in a cluster environment. Azure Kubernetes Service offers provisioning, scaling, and upgrades of resources as per requirement or demand without any downtime in the Kubernetes cluster and the best thing about AKS is that you don’t require deep knowledge and expertise in container orchestration to manage AKS.

AKS Benefits

Azure Kubernetes Service is currently competing with both Amazon Elastic Kubernetes Service (EKS) and Google Kubernetes Engine (GKE). It offers numerous features such as creating, managing, scaling, and monitoring Azure Kubernetes Clusters, which is attractive for users of Microsoft Azure. The following are some benefits offered by AKS:

• Efficient resource utilization: The fully managed AKS offers easy deployment and management of containerized applications with efficient resource utilization that elastically provisions additional resources without the headache of managing the Kubernetes infrastructure.
• Faster application development: Developers spent most of the time on bug-fixing. AKS reduces the debugging time while handling patching, auto-upgrades, and self-healing and simplifies the container orchestration. It definitely saves a lot of time and developers will focus on developing their apps while remaining more productive.
• Fast development and integration: Azure Kubernetes Service (AKS) supports auto-upgrades, monitoring, and scaling and helps in minimizing the infrastructure maintenance that leads to comparatively faster development and integration. It also supports provisioning additional compute resources in Serverless Kubernetes within seconds without worrying about managing the Kubernetes infrastructure.

Azure Kubernetes Service Features

• Pay only for the nodes (VMs)
• Easier cluster upgrades
• Integrated with various Azure and OSS tools and services
• Kubernetes RBAC and Azure Active Directory Integration
• Enforce rules defined in Azure Policy across multiple clusters
• Kubernetes can scale your Nodes using cluster autoscaler
• Expand your scale even greater by scheduling your containers on Azure Containe

Integration of development tools

Another important feature of AKS is the development tools such as Helm and Draft are seamlessly integrated with AKS where Azure Dev Spaces can provide a quicker and iterative Kubernetes development experience to the developers. Containers can be run and debugged directly in Azure Kubernetes environment with less stress on the configuration. AKS also offers support for Docker image format and can also integrate with Azure Container Registry (ACR) to provide private storage for Docker images.

Azure Kubernetes Service Use Cases

• Migration of existing applications: You can easily migrate existing apps to containers and run them with Azure Kubernetes Service. You can also control access via Azure AD integration and SLA-based Azure Services like Azure Database using Open Service Broker for Azure (OSBA).
• Ease of scaling: AKS can also be applied in many other use cases such as ease of scaling by using Azure Container Instances (ACI) and AKS. By doing this, you can use AKS virtual node to provision pods inside Azure Container Instance (ACI) that start within a few seconds and enables AKS to run with required resources. If your AKS cluster is run out of resources, if will scale-out additional pods automatically without any additional servers to manage in the Kubernetes environment.
• Data streaming: AKS can also be used to ingest and process real-time data streams with data points via sensors and perform quick analysis.
• Bringing DevOps and Kubernetes together: AKS is also a reliable resource to bring Kubernetes and DevOps together for securing DevOps implementation with Kubernetes. Bringing both together, it improves the security and speed of the development process with Continuous Integration and Continuous Delivery (CI/CD) with dynamic policy controls.

Conclusion

AKS nodes are scaled-out automatically as the demand increases. It has numerous benefits such as security with role-based access, easy integration with other development tools, and running any workload in the Kubernetes cluster environment. It also offers efficient utilization of resources, removes complexities, easily scaled-out, and migrates any existing workload to a containerized environment and all containerized resources can be accessed via the AKS management portal or AKS CLI.

Thank you !