In a previous post, I performed a storage performance benchmark of Azure Managed Disks and Azure Files for Azure Kubernetes Service. The testing included the now generally available Ultra SSD class of Managed Disk. The process for using Ultra SSD with AKS was fraught with peril, caveats, and an assist from the AKS product group to get it all working. I thought I would detail how I went about enabling Ultra SSDs with AKS in case someone else was struggling with the same.
This is a follow-up post to my analysis of using Azure NetApp Files for AKS storage versus the native solutions. After I wrote the post, with some surprising findings about Azure File performance, a number of people from Microsoft reached out to bring up a few key facts. In this post I will review the points that they brought up and include an updated analysis of the native Azure storage solutions for the Azure Kubernetes Service. Hold on to yer butts everyone!
In April of 2018, I was delegate for Cloud Field Day 3. One of the presenters was NetApp, and they showed off a few different services they had under development in the cloud space. In a previous post I went over the services in some detail, so I won’t regurgitate all that now. One of the services that was still in private preview at the time was NetApp Files for Azure. The idea was relatively simple, NetApp would place their hardware in Azure datacenters and configure the hardware to support multi-tenancy and provisioning through the Azure Resource Manager. That solution is now generally available, and I was curious how it would perform in comparison with the other storage options for the Azure Kubernetes Service (AKS). In this post I will detail out my testing methodology, the performance results, and some thoughts on which storage makes the most sense for different workload types.
This is a follow-up to my post about the Kubernetes Cluster running on Azure Stack. In that post, I asked myself how to scale a deployed cluster and how to update the cluster. Since that post went live, I’ve done experimentation on my own, and also learned a few things about the deployment toolset being used for the Kubernetes Cluster Template.