Kubernetes or K8s, is an integral open-source container orchestration platform that helps in automating the various manual processes involved with deploying, scaling, and containerizing different types of applications. It is known to be the future of container management. Kubernetes have made our lives easier and more admissible with the help of container management. If the developers cluster together some group of hosts with Linux containers, Kubernetes will help them to run those clusters with utmost proficiency.
Kubernetes runs primarily on Amazon Web Services or AWS. You can also learn it from Microsoft Azure, Google Cloud Platforms, and other premises as well. Kubernetes is a sophisticated yet powerful tool that has made our lives easier. Many IT industries are inclined towards using Kubernetes and components of Kubernetes to perk up their style of container management. Kubernetes allows the applications to be isolated and thereby adds an extra layer of security to them. This has helped Kubernetes and Kubernetes components to flourish immensely in the last few years. But the question still arises, what are Kubernetes components? Kubernetes components are parts of Kubernetes clusters that are part of the control plane of Kubernetes. They consist of both the control plane and the data plane.
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What are Kubernetes Components?
Kubernetes consists of many components that make different clusters to facilitate container management. Kubernetes lets one create, deploy, and manage several applications across different host clusters with the help of a few components. Kubernetes control plane components are considered a main component of Kubernetes. It consists of different cluster nodes and at least one working node. Here is a list of Kubernetes components list that will help you understand its functions and the size of Kubernetes components from smallest to largest.
Kubernetes Components List from Smallest to Largest
Here we have jotted down some Kubernetes architecture components, which will give you keen insight into the Kubernetes components architecture.
Master Components / Control Plane Components
Kubernetes control plane components are the main components of Kubernetes which are known to manage Kubernetes clusters and the different workloads that are running on them. They include components like API Server, Controller Manager, and Scheduler. Here we have jotted down some aspects of Kubernetes cluster components that will give you keen insight into the key components of Kubernetes.
Kube-API Server
Kube API server or frontend Kubernetes control plane is the method of how the users interact with Kubernetes clusters at large. The API determines the validity of the request and then continues to process it subsequently. If you are accessing the Kube API for the first time, then use the command-line tool Kubetl. This will help your work with Kubernetes component architecture easily.
ETCD
ETCD is a highly available and consistent key-value store that helps in Kubernetes backing store for all the cluster data. If your Kubernetes master node components are using ETCD as their backing, always make sure to back up those data as well. This will help you find information in-depth about the ETCD documentation. ETCD is an open-source distributed key value of the data used to manage vital and critical information. It manages configuration data alongside some metadata and state data for Kubernetes.
Kube-scheduler
Kube scheduler is the Kubernetes master component that deals with assigning Pods to the Nodes. The schedule determines where the Node placements would be made and whether they have a valid placement for each Pod or not. It is a pivotal Kubernetes master node component that helps to schedule constraints as per the available resources. The scheduler then ranks each valid Node and further binds them with a suitable Node. It is the default scheduler for Kubernetes node components.
Kube-controller-manager
The Kube-controller manager is the daemon that embeds all the core control loops in Kubernetes. They are used in robotics and automation techniques with a control loop regulating the entire state in which the system operates. It runs in the Kubernetes master node components and takes care of different controller procedures at large. These controllers watch the status of different other services and deploy them via API servers. These controller managers are always determined to take necessary actions if the desired status does not match accordingly.
Cloud-Controller-Manager
Cloud computing is now an important aspect of any software industry. The cloud controller manager helps the developer to link the data from the Kubernetes cluster components to the cloud provider's API. It separates the components that interact with one another over the cloud platform to interact with their clusters. There are different types of cloud controller managers. One is a Service controller, and the other one is a Node controller. There is also a Route controller that helps in setting up network routes for clouds.
Node Components
Kubelete
Kubelete is one of the primary Kubernetes worker node components that are known to run on each Node. They can register Nodes with the help of an API server by using a hostname and a flag that can help to override the hostname. It can also use the API server of a specific logic of a cloud provider. Kubelete works in terms of PodSpec. Kubelete components are agents that run on every Node in the form of a cluster. They make sure that each container is running seamlessly on the Pods.
Kube-proxy
Kube-proxy, or a Kubernetes proxy is a known network proxy that runs each Node of a cluster and implements the Kubernetes service concept. These Kubernetes core components maintain proper network rules on the Nodes. These network rules allow the network communications to be seamless to the Pods with network sessions both inside and outside the clusters.
Container Runtime
Container Runtime is known to provide vivid abstractions that help us to watch and reconcile the Kubernetes cluster with the help of CRUD. The CRUD stands for Create, Update, Delete. The Container runtimes use differently structured logging through a library called the logr. This logging works by attaching key-value pairs with the help of a static message. They can pre-assign some pairs with the help of a reconcile method and further attach the log lines in these reconcilers later.
Kubernetes Components Architecture with Diagrams
A Kubernetes Components list consists of Kubernetes Components architecture that has two main components. They are:
The Control Plane
This consists of host components used to manage the Kubernetes clusters easily. This control plane is in constant contact with the computing machines to ensure that the configuration of the clusters is not messed up in any way. These controllers respond and manage the objective sales that drive the current state of the system object into the desired state or specifications. The control plane consists of several factors that upgrade the usage of cloud computing at large. These Kubernetes components run primarily on one Primary Node. However, many enterprises replicate these components across multiple nodes to achieve a high level of availability.
Worker Nodes
These are used on virtual machines. These are also sometimes used on physical machines that are known to run on one or more containers. These help in running containerized applications or handling the networks that can ensure the traffic between applications across the clusters both inside and outside and facilitates proximity.
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Kubernetes Components Cheat Sheet
To understand in detail the main components of Kubernetes and the Kubernetes components list in detail, here is a Kubernetes components cheat sheet that is prepared just for you to ensure a deep knowledge of Kubernetes core components. Kubernetes components provide you with automated rollouts and rollbacks. If you use Kubernetes, you can describe the state of the container with the help of your deployed containers. The framework will thereby change the actual state at the desired rate. . Kubernetes components consist of automatic bin packing. This helps the Kubernetes components to fit the containers onto their nodes with premium optimization that is subjected to the parameters that are set up. Kubernetes is proficient storage orchestration where you can mount the choice of a storage system with the help of local storage in both public and private cloud providers.
Conclusion
Containerization is the future of cloud storage. They help us with deploying and automating software with utmost efficiency. Kubernetes provides a solution to every software problem helping the software to learn more reliably and seamlessly. However, sometimes the Kubernetes containers need certain oversights and control. Hence, container management systems become easier to exist. If you want to have a keen knowledge about learning Kubernetes online, check out the learn Docker and Kubernetes online course of KnowledgeHut from their website. It will give you a keen knowledge of Kubernetes components and their use cases. You will be able to have a comprehensive study with hands-on Docker and Kubernetes components. Do check out the website right away!
