Kubernetes is one of the most widely used container management systems in the world of technology. The robustness of the Kubernetes has made it possible for its users to scale, deploy, and manage containerized applications. The portability and extensibility of Kubernetes have gained loads of fame in the cloud computing environment.
It also allows its users to choose a framework, programming language flexibly and enables users to log errors and monitor. Kubernetes is already in a boom and always will be – even in the future. In this article, we will get an overview of the Kubernetes, and by the end of the article, you will get to know the best Kubernetes Course.
Overview of Kubernetes
Kubernetes is an extensible and powerful open-source platform for scaling, managing, and deploying the containerized applications and services. Kubernetes is a system designed to look after the coordination and scheduling of a container on a cluster and handle the workload to make sure that the system runs reliably. Kubernetes allows its users to define how they want the application to run and how they want the applications to interact. A Kubernetes course can help you know how you can do the work mentioned above.
Kubernetes is one such tool that offers an opportunity to manage the cloud infrastructure and the difficulties in handling the network or virtual machine to focus on scaling and developing the applications. Kubernetes provides a reliable and flexible platform to scale and manage the containers with an easy and simple interface.
Working of Kubernetes
Before Kubernetes certification, the developers must know how Kubernetes works to make the most out of it. The structure of Kubernetes is in layers. The highest layer is for the abstraction of the complexity in the lower layer. Let us understand a few foundational terms and some of the layers of Kubernetes. The architecture of Kubernetes includes:
- Pods: It is the smallest deployment unit in Kubernetes. It includes containers or a collection of the containers that share allocated resources such as lifecycle, memory, and storage. Pods have a single IP address, and it is applied to each container within the pod. There are a few containers that should be treated as a single application. A pod is literally like a representation of one or more containers.
- Replication Controller: The pod is wrapped with the Replication Controller, also known as RC. The Replication Controller ensures and manages that a specific number of pods are running at a particular time. The RC maintains the pod that it is operating and makes sure that it restarts the pod when it fails or replaces it when the pod is terminated or deleted.
- Replica Set: Replica Set – also known as RS, maintains a set of replicas of the pods running at a given time. The replica set acts as a subset iteration of how the RC works. A replica set is much flexible with the pod that it is meant to manage.
- Deployments: Deployment is a process for developers to define how they want to run the application. It allows the developer to set the pods’ details and mention how the pods need to be replicated via nodes. The deployment can be modified by changing the configurations. Further, the replica set will be automatically adjusted by Kubernetes, and the shift from different application versions will be managed. Even the pod is recreated when it dies.
- Services: A service is a group of pods, much like an abstraction over the pods. It provides an interface for another application or external consumers to interact with them. The service provides a single IP address that is mapped onto the pods. But it can also be made available outside the clustering with the help of several available strategies.
- Nodes: A node is a physical server or a virtual machine that manages and runs the pods. It collects the pods working in a group, just like how pods contain containers working.
- Kubernetes Master Server: Kubernetes Master Server is the main point of contact for the users and administrators to manage the containers on the nodes. It accepts the request of the user by running commands on the command-line or through HTTP calls.
- Cluster: A cluster is a node or a collection of nodes that run on the application. A cluster can be seen as a group of Nodes working together to form an even more powerful machine. Once a program is deployed on the Kubernetes cluster, it is spontaneous enough to handle the workload distribution to each node. If a node is added or removed from the cluster, it will automatically shift the work according to the requirement.
Certified Kubernetes Administrator (CKA) Certification Training Course
As we have just got an overview of Kubernetes, it’s not an important story to say that it is one of the most widely used container orchestration tools available in the tech space. This Kubernetes Course found by Cloud Native Computing Foundation (CNCF) will help you enhance the Kubernetes skills and give you credibility in this field as you prepare for your CKA exam.
Features of this Kubernetes course:
- 11 real-life projects
- 50 hours of blended learning
- Flexibility to choose classes
- Industry-recognized Kubernetes course completion certificate
Skills covered in this Kubernetes Course:
- KubeAPI server and scheduler
- Scheduling pods
- Cubelets
- Logging and monitoring clusters
- Security and authentication
- Cluster maintenance
- Application lifecycle management
- Storage and volumes
- Application failures
- DNS Networking CoreDNS CNI
- Network failures
- Control panel failures
Eligibility:
This course is designed for Kubernetes cluster administrators. Any individual interested in learning how to work with Kubernetes will benefit from this course. The course is also well-suited for Software engineers, Software developers, Linux administrators, System administrators, Cloud administrators.
Prerequisites:
A solid understanding of Docker and containers, working experience with Linux shell will be beneficial but not mandatory.
