por If you’ve worked with the Kubernetes workload and service management platform, you may have heard something about the Kubernetes Metrics Server, an efficient option and source for container metrics management and its resources.
So, to take full advantage of the benefits of Kubernetes Metrics Server, you must know the most relevant features, functions and properties that it offers you. For that reason, In this article, we tell you everything you need to know about this tool.
What is Kubernetes?
Kubernetes is a platform in charge of managing services and workloads that helps in automation of application deployment, management and scalability inside the system.
In the same way, this system includes tools, services and supports that They contribute to the management of multiple containers.
What is Kubernetes Metrics Server?
The Kubernetes Metrics Server tool is defined as a metrics option characterized by its scalability and efficiency for scaling activities pipeline automatic that are integrated into the platform.
This means that the also called Kubernetes metrics server works as a type of system cluster component. This focuses on collecting resource metrics to ensure automatic scaling of resources. pipelines.
Kubernetes Metrics Server Features
Among the most important properties and features of the Kubernetes Metrics Server tool is that is capable of obtaining system resource metrics, and then deliver them added to the platform’s Application Programming Interface server, through the use of the corresponding metrics API.
It should be noted that the Kubernetes Metrics Server option It is used for the purpose of adjusting auto scaling on the platformthat is, the ability to offer the amount of resources needed at each moment of the service execution.
Another feature of Kubernetes Metrics Server is that it is a tool that is responsible for collecting the metrics of the Kubelet resources to expose them to the Kuberetes ApiServer, where you can make use of different types of scaling, such as horizontal scaling and vertical scaling. pods.
Advantages of Kubernetes Metrics Server
The use of the Kubernetes Metrics Server tool offers a series of advantages, among which a efficient use of resources of the platform, as well as high-speed automatic scaling, so it is capable of collecting metrics every 15 seconds.
Another benefit of this tool is that includes a single implementation which can be used in the vast majority of the platform’s clusters.
Similarly, Kubernetes Metics Server has the advantage of scalable support that can work with up to 5000 clusters of nodes.
Limitations of Kubernetes Metrics Server
Although this option is very useful for managing metrics in the systemits operation is limited according to certain activities.
Thus, for example, with regard to tasks other than automatic scaling, it is necessary to add that This tool does not have a design that allows it to extend its functions.
Now, if you want to implement it for activities such as forwarding metrics to monitoring solutions or as a type of metric source for monitoring solutions, It is recommended to carry out a process of collecting metrics directly from the Kubelet option endpoint, the agent executed on each node worker of the platform.
What is the next step?
In this article you have been able to learn what the Kubernetes Metrics Server tool is, as well as its characteristics, advantages and limitations of use. Now that you’re up to this point, don’t hesitate to continue specializing in this and other useful options in the technology sector. For this, we recommend our DevOps & Cloud Computing Full Stack Bootcampwhere in less than 6 months you will learn everything you need to become an expert in the IT sector. Don’t think twice and sign up for this bootcamp so you don’t stop learning!