What Is Monitoring In Kubernetes?

The transition from monolithic to microservices architectures, the emergence of Kubernetes, means that you have to observe much smaller components. Monitoring in Kubernetes provides us with an overview of the current state of our cluster, including metrics for running nodes and floors, resource usage, and a summary of what's happening in your Kubernetes cluster. You can get more information about 5 top & useful kubernetes monitoring tools through the internet.

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To scale your application and provide reliable services and resources running on a Kubernetes cluster, you want to know how the application will behave during deployment. It is important to research the effectiveness of containers, controllers, and services. 

Monitoring helps obtain this information and increases application productivity. Monitoring K8 includes monitoring of the cluster, all nodes as well as monitoring of subsystems, implementation, and Kubernetes services. 

Monitoring K8s involves monitoring the cluster, all the nodes, as well as monitoring pods, deployments, and services. These can be divided into two main components:

1. Monitoring the Kubernetes cluster

When monitoring clusters, the health of the entire Kubernetes cluster must be monitored. As an administrator, you can determine whether all nodes in the cluster are functioning properly and what is the capacity and percentage of applications running on each node. There are some companies like kubevious that provide the best Kubernetes cluster services you can get the benefit of using their services.

Here are some useful metrics for everyone:

Node Resource Usage: This metric is related to resource usage. It includes metrics such as CPU, disk and memory usage, network bandwidth, and more. These metrics help us decide whether to increase or decrease the number and size of each node in the cluster. 

A number of nodes: The nodes available are an important indicator. They help us understand if the number of nodes available has sufficient resources and if they can handle the load just in case the nodes fail and what you pay for when using a cloud provider.