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We can discover the API with the below path mentioned
#What is kubernetes api server install#
In this way, we can install the Metrics server for our pods or nods in the cluster, but we will require to have the components.yaml file in place in order to execute the above command properly, so you can download the latest file from here for your reference see below Kubectl get deployment metrics-server -n kube-system We have two ways by which we can install this which are mentioned below ī) Or by making use of the official Helm Chart.īut we have a few commands by which we can easily install this metrics server, which can be done by the main use of components.yml manifest file, follow the below sets of commands to install it and verify it if that’s work fine see below Ī) To install using the components.yml manifest file un below command ī) Now we will require to validate or verify our installation, for this, we can make use of the below command In this section, we will discuss the installation part of the metrics server in Kubernetes, for this also requires to do some configuration. This metrics server is basically used by the Kubernetes add-on, such as Kubernetes Dashboard and Horizontal Pod Amazon, also by default it is not deployed on the Amazon EKS clusters, we have to perform a few steps in order to achieve that. Kubernetes metrics server InstallingĪs we have seen that Kubernetes Metrics Server is a cluster aggregator which contains the resource usage data, which will be helpful for us to determine the usage of Resource on each of the nodes or pods we have in the cluster. We also have a few scenarios where we should not consider Metrics Server let’s get started ġ) Suppose we want to have Horizontal Autoscaling but it is not based on the CPU/Memory, but on some other resource.Ģ) When we have Non-Kubernetes clusters in place.ģ) When we want accurate resource usage metrics. Horizontal auto-scaling helps us to automatically scale the number of pods, replica set, and controllers.Ģ) Also it can be used when we want to perform the Vertical Autoscaling, which means we should automatically suggest or adjust the resource which is needed by the containers. In this section we will discuss the scenarios where we can go and opt for Metrics Server, also we will see a few points which will tell when not to go for Metrics Server, so let’s get started ġ) When we want to achieve the Horizontal auto-scaling, which is based on the CPU/Memory then in this aces we should go for Metrics Server.
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SO we can see a few of the points which can give us more idea about the metrics server in Kubernetes in detail see below Īs now we have a basic idea about the Metrics Server in Kubernetes, in the coming section, we can discuss more its use case and implementation in detail for better understanding and clarity.
![what is kubernetes api server what is kubernetes api server](https://www.kubernetes.org.cn/img/2017/11/architecture.jpg)
Also, we can track this by using any command or by the user of the controller which will give us the metrics of Resource usage in our application. What is metrics-server?Īs we have already seen that metrics server is used to keep track of the Resource usage on each node or given pod. In the coming section of the tutorial, we will discuss more its internal working and implementation in detail for better understanding and clarity for the beginners. But this value does not store by this API. So in short with the help of Metrics API in Kubernetes, we can easily determine the amount of resources that is begin consumed by the given pods or the node. User can access this by the use of command and for controller present inside the cluster that is for instance Horizontal Pod Auto-scaler which can be used to make decisions. We can access these Metrics directly in two ways such as by the user or controller. With the help of metrics server in Kubernetes, we can easily keep track of the Resource usage which includes memory usage, CPU available in the Kubernetes by the use of metrics API.
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Introduction to Kubernetes metrics server
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