![kubernetes overview kubernetes overview](https://appfleet.com/blog/content/images/2020/04/79-Prometheus-Metrics-based-autoscaling-in-Kubernetes.png)
Kubernetes Proxy: The nodes that are in the cluster run in the proxy network, so the Kube proxy moves the request to the specific containers in a node. Kubelet: It handles JSON format specifications of the pod and keeps a check that the pod is running properly. It also takes care of running the container from images of Docker. Pod: It has storage resources, containers, network id, and various configurations in an encapsulated form.ĭocker: It handles that the application runs in a lightweight isolated environment. Slave: Components of slave nodes are the following: It makes sure that various libraries and tools communicate efficiently. It takes care of the number of resources available and which resource is allocated to which node.ĪPI Server: It is used as a central manager that handles all the REST requests for changes. Scheduler: It distributes the workload and is the main component of the master node. It runs in a rigorous loop and collects and sends information to the main API server. It is used for communication among other components and works to perform actions.Ĭontroller Manager: It handles most of the controllers and performs tasks. Master has different components that take care of respective processes.ĮTCD: It is responsible for storing the values and details of configuration. Master: It is the main unit that controls and manages Kubernetes communication and workload across different clusters. Let’s move onto the architecture of Kubernetes: It indicates the number of pods running parallely. Kubernetes doesn’t manage containers directly, rather it manages the pods.ĭeployment: Pods are managed by a layer of abstraction called deployment. Pods have two types of resources that are shared, one storage and the other networking. Replicas of pods are deployed automatically if any pod fails. Pods: Pods consist of more than one application container as a group and are scalable. Different programs can be collected in a single container with the restriction that a single process can be executed per container. Programs are contained in one file and are shared over a network. Persistent volume: A persistent volume is used for storing the data permanently.Ĭontainer: Self-contained environments to execute the programs are called containers. The cluster shifts the work as per the requirement if the nodes are removed or added. It can either be an actual machine or a machine that is on any cloud platform.Ĭluster: Kubernetes doesn’t contain individual nodes, rather, it works as a collection of nodes called clusters. Nodes: A node is any small hardware or one machine in a cluster of Kubernetes.
#Kubernetes overview software
Let’s see what hardware and software are needed for Kubernetes, then move on to its architecture.
#Kubernetes overview manual
The fault tolerance of Kubernetes is high as compared to Docker.īalancing load is manual in the case of Kubernetes while it’s automatic for Docker. Kubernetes requires a big bulky setup, whereas it’s easy to set up in Docker. Kubernetes can be extensively customized according to the needs of the user, whereas Docker is less flexible in terms of the same. There are differences between Docker and Kubernetes:
![kubernetes overview kubernetes overview](https://i.ytimg.com/vi/YKg7uNMy_rc/maxresdefault.jpg)
Rollback changes can be automated in it if something goes wrong. It gives an added storage system to execute apps.
![kubernetes overview kubernetes overview](https://miro.medium.com/max/1200/0*AnDIb4QsPzh1bnPx.jpg)
It handles the security of the container, storage services, and networking.
![kubernetes overview kubernetes overview](https://images2017.cnblogs.com/blog/709432/201708/709432-20170830190349280-1580098372.png)
It monitors the health of containers and nodes. It controls the hosting and launching of a server and is used to automate different manual processes. Kubernetes was first released in 2014 to make applications run on the cloud. A container application is an application that has all its packages, files, and necessary libraries required to run efficiently on various platforms. CNCF offers wholesale pricing on our exams to training companies purchasing in bulk.Kubernetes is an open-source platform used alongside Docker to deploy, maintain, and implement container applications. You can learn more about the KCSP program.ĬNCF has open sourced the curriculum around which the CKA exam has been created for the benefit of companies offering training. You can become a CKA without needing to be involved with a KCSP, but for a company to become a KCSP it must employ at least three CKAs. The CKA program is separate from Kubernetes Certified Service Provider (KCSP) program. It is an online, proctored, performance-based test that requires solving multiple issues from a command line. The purpose of the Certified Kubernetes Administrator (CKA) program is to provide assurance that CKAs have the skills, knowledge, and competency to perform the responsibilities of Kubernetes administrators. The Cloud Native Computing Foundation offers a certification program that allows users to demonstrate their competence in a hands-on, command-line environment.