Kubernetes is “hot & happening”, almost every company already uses or wants to use Kubernetes. Creating an AKS cluster seems easy enough, but what if you want to create an AKS cluster for serious production workloads? In this article, we will give you some pointers and best practices that will help you create an AKS cluster ready for production environments.
Before you start
Creating an AKS cluster is easy and there are more than enough manuals that will guide you through the process. We at Intercept especially like the official Microsoft AKS manuals because they are complete and always up-to-date. However, there are several important choices to make before you can start to create your cluster. In this article we will talk about these 4 best practices:
VM type;
The network model;
Network size and pods per node;
Kubernetes RBAC with Azure AD.
1. VM type
Choose the correct VM size for your Kubernetes cluster. Kubernetes self consists of many pods and they use memory and CPU too. This overhead is quite significant for small VMs, up to 65% overhead on the smallest 2Gb memory VMs. At 64Gb memory, the overhead is reduced to just 10%. My advice therefore would be to skip the small VMs and choose a bigger VM size if possible.
Luckily it is now possible to change the VM size of your AKS cluster, this was not possible before. You can upgrade your AKS cluster not only by the number of VMs but also by the size of the VMs. This way you can reduce the amount of overhead. An extra benefit of larger VMs is the increased IOPS and number of disks, small VMs have little and slow disk access.
2. The network model
An AKS cluster can use one of two network models, Basic and Advanced Networking. You can’t change the network model after you created an AKS cluster. The Basic Network model is, like the name implies, basic in features. You can’t connect the AKS cluster to a VPN connection or other virtual networks within Azure. This, and more, is possible using the Advanced Network model, however, you should make sure you have enough IP addresses available. The Advanced Network model uses a lot more IP addresses than the Basic Network model.
3. Network size and pods per node
Another setting you should provide when deploying an AKS cluster: the number of pods per node. When using the Advanced Network model (which you probably should) Azure sets a default limit of 110 pods per node. Azure will reserve in advance one IP address per pod per VM. This means that a default VM in AKS will use 110 IP addresses. When updating an AKS-cluster Azure will one by one add a new VM and then remove an old VM.
A /24 network consists of 256 IP addresses so there can only be two VMs, however, you need room for one extra VM to update the cluster. So, a /24 network is limited to just one VM.
Always choose a bigger network for an AKS cluster. A /23 has 500 IP addresses so enough for 3 VMs, an /22 network has 1000 IP addresses so enough for 8 VMs.
4. Kubernetes RBAC with Azure AD
Azure uses the RBAC model, every Azure AD user has one or more roles and receives the access rights granted by these roles. RBAC does not apply within an AKS cluster, all users with access to the AKS cluster share the same ‘admin’ role and receive full admin access. This is obviously not what you want for a production environment. Therefore, connect your AKS cluster to Azure AD so the RBAC model also works within your AKS cluster. Now you can create custom roles and assign these roles to your Azure AD users. The AKS roles can be granted to the complete AKS cluster or to individual namespaces. Again, this is a feature you must activate when creating an AKS cluster, you cannot add this feature to an existing AKS cluster. For more information see the link.
The four choices discussed above are important when you deploy a production AKS cluster. They are quickly overlooked when deploying an AKS cluster and cannot be added after deployment. But just like the rest of Azure, features for AKS are released almost daily. Keep yourself up-to-date with the latest best practices and available features before you create an AKS cluster. This is especially important because many features cannot be added to an existing AKS cluster, only at deployment time.
Monitoring, knowing what’s happening
Just like with any other service monitoring is important. By connecting your AKS cluster to Log Analytics, all logs and metrics are visually available in the Azure portal. Also, with Log Analytics you can create alerts to signal when certain events happen or limits are reached. Log Analytics is free, you are only paying for storage.
Monitoring dashboards, everybody likes them:
Not IaaS, not PaaS but KaaS
An AKS cluster consists of an IaaS and PaaS part, I call it KaaS (chees 🧀 in Dutch). Microsoft is responsible for the Kubernetes cluster (the PaaS part) and you are responsible for the underlying VMs (the IaaS part). Microsoft will install updates on the VMs but rebooting and activating these updates is your responsibility. Luckily there is an easy solution available, Kured. By deploying Kured in your AKS cluster Kured will reschedule and reboot your nodes when necessary. Kured will reboot your nodes one by one, so if your cluster consists of 3 or more nodes your application will not experience any downtime.
Kured in a nutshell:
Best-practice, resource limits, and resource requests
When you deploy an AKS cluster for production workloads it is even more important that workloads won’t affect each other. How do you prevent one application from using all resources and preventing other applications from functioning? By using quotas and resource limits.
An administrator can apply quotas on CPU, memory, and number of pods to namespaces. A developer can limit CPU and memory to individual pods. Therefore, if these quotas and limits are correctly set it is impossible for an individual application to overload the cluster.
With Resource Requests, a developer can specify the minimal resources (CPU and memory) necessary for the execution of a pod. Kubernetes will make sure these resources are always available to the pods. This helps Kubernetes to assign the pods to the right nodes and spread the load more evenly. There will never be a node that has no pods assigned while there are other nodes that are fully loaded.
Also, don’t forget to add the health probes. These health probes are crucial for Kubernetes to determine if a Pod is ready and still healthy. Health probes help Kubernetes to restart crashed pods or wait before sending traffic to newly created pods.
And now…
If you have followed the above tips you will have a proper AKS cluster for production workloads. But, pay attention to what Microsoft is doing with AKS and Azure. AKS is continuously in development and new features are added almost daily. Super cool new features are coming soon like node auto-scaling, node-pools, key vault integration, and much more.
Microsoft is fully dedicated to Kubernetes and so are we! We even give dedicated AKS workshops. Interested? Feel free to sign up.
Tags
Azure Kubernetes Services
Containers
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Kubernetes is “hot & happening”, almost every company already uses or wants to use Kubernetes. Creating an AKS-cluster seems easy enough, but what if you want to create an AKS-cluster for serious production workloads? In this article we will give you some pointers and best-practices which will help you create an AKS-cluster ready for production environments.
