Azure Kubernetes Service (AKS) Reviews

What I like best about AKS is that it simplifies Kubernetes management a lot compared to handling clusters manually. It integrates well with the Azure ecosystem, scales reliably, and makes container orchestration easier for enterprise applications. I also like the monitoring and deployment experience with Azure tools.

AKS can feel complex for beginners, especially when troubleshooting networking or scaling issues. Cost management and cluster configuration also require some experience, otherwise it’s easy to overprovision resources.

AKS helps manage containerized applications more efficiently by simplifying deployment, scaling, and orchestration. It has helped improve application reliability, automate deployments, and reduce infrastructure management effort for microservices-based workloads.

This is a nice plaatform which can help to containarize the Kubernates based application, it also helps to perform Horizontal and Vertical Scalability along with it is easy to deploy the solutions.. It also provides tool to integrate multiple container based applications.

I don't see much issues, however if detailed reporting for resources utilization and billing would definately add much advantage. Also reporting to include various traffic relatd matics.

This has helped a lot to our environment in Converting existing applicaiton to Container based application which is not only saving the cost also it is reducing administration services.

Azure Kubernetes Service is great to work with and I like that it integrates easily with other technology and tools in the Azure ecosystem. We have been using it to containerize our solution for over 2 years now for our client. It also has great interface which is easy to navigate and I like that a lot while working with it.

There are some limitation like every tool. Sometime like the provisioning of new cluster or scaling of node takes several minute which feels slow and could be improved upon. I feel the documentation could be upgraded as well.

We have been running our large scale backend application in an Azure kubernetes cluster that integrates with ML models to provide sales forecasts for our clients based on historical data. Our workloads are very much data-intensive and spreads across multiple components — API services, data processing pipelines, and model inference tasks all this needs to scale dynamically, run reliably, and integrate with other Azure services like Blob Storage, Azure Key Vault, and Azure Monitor.

I like Microsoft Azure Comprehensive cloud services. It has a lot of features and we use them on daily basis. The solution is very easy to use and implementation is also easy. The customer support is also quick and responsive.Strong security and compliance.

I dont like the limitations with other operating systems like its more focused on windows os. Frequent changes and updates makes it difficult for us to cope up with the compliance.

Microsoft Azure is helping us by providing uninterupted cloud services and with complaince needs.

Being able to find information about Azure is easy. We utilize the platform mostly for data science projects where we need automated ML process. The platform helped us to design a process for our model development lifecycle.

There are around 10 team members that are actively using the platform

The pricing model is hard to understand and calculate.

So components and services are charged based on transactions which is hard to know till you are fully live

The best features of Azure Kubernetes Service are easy scalability, simple UI and the power to control your production grade server right from the azure UI console.

The only thing that I dislike about Azure Kubernetes service is the lag and slowness when operating the cluster via Azure CLI.

It helps in manager our codes in the form of containers which are running on pods inside the node of our kubernetes cluster. It makes it readily available for our production grade website.

The best thing about AKS are:

1. It is easy to create and manage as compared to EKS, GKE, or other orchestration tools.

2. The secret store csi driver is yet another best feature to integrate keyvault with aks to manage confidential secrets.

3. We can integrate ACR with AKS just by providing the ACRPull role to the AKS managed identity is also a great feature as we don't need to secret imagePullSecret for that.

- Managed Service. It takes care of masters, nodes, etcd storage and everything. No need to create the infra needed; AKS service automatically takes care of it.

- We use it to host our infrastructure - compute, memory and it helps us in autoscaling.

- It does not support custom docker images. So while pulling the image, if it's integrated, the pull time takes less. However, due to the lack of this support, it takes longer for the pods to come up.

Our application is hosted on Kubernetes, and we use AKS to manage our Kubernetes in Azure.

In AKS, the master node is free, unlike in AWS. AKS also features native integration with Azure DevOps and built-in support for GitOps.

AKS lacks the latest version of Kubernetes.

integration with azure keyvalt to secure our secrets, easy to setup for production workload and container orachation.

I love the flexibility of coding language.

SIngle vendor policy.need to manage and monitor.

Reduce initial investment and also offer the bandwidth, empowering the DevOps approach.