Edureka Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification
This Edureka Kubernetes Full Course video will help you understand and learn the fundamentals of Kubernetes. This Kubernetes Tutorial is ideal for both beginners as well as professionals who want to master the fundamentals of Kubernetes. Below are the topics covered in this Kubernetes Full Course Tutorial:
03:00 Introduction to Containers
05:59 Need for Kubernetes
11:50 What is Kubernetes and What it’s not
23:17 Kubernetes vs Docker Swarm
27:57 Use-Case: Kubernetes @ Pokemon Go
34:39 Introduction to Namespaces
37:42 Types of Namespaces
51:08 Container Design Patterns
54:05 Introduction to Docker
01:15:52 Kubernetes Installation Steps
01:43:45 Kubernetes Architecture
01:53:52 Kubernetes Dashboard
02:17:40 Types of View in Kubernetes Dashboard
02:15:19 Kubernetes Cluster
02:19:13 Pods, Services & Ingress Networks
02:32:47 Case Study
02:44:50 Replication Controller & ReplicaSet
02:47:15 Deployment Controllers
02:48:19 Deployment Use-Cases
03:05:06 Kubernetes Multiple Schedulers
03:26:43 Set up a Multi-Master cluster using kubeadm
04:03:59 Network Failures
04:15:59 Introduction on AWS
04:20:21 Amazon EKS
04:23:23 Launch an application on EKS platform
04:55:13 What is Azure Kubernetes?
04:55:41 Working of AKS (Architecture and Components)
05:05:01 Use Case
05:09:01 AKS Demo
05:24:30 Basic Kubernetes Interview Questions
05:43:45 Kubernetes Architecture-Based Interview Questions
06:10:55 Multiple Choice Questions
Subscribe to our channel to get updates on Kubernetes Full Course. Hit the subscribe button above: https://goo.gl/6ohpTV
Edureka Community: https://www.edureka.co/community/
#Edureka #EdurekaKubernetes #KubernetesFullCourse #Kubernetes #KubernetesTutorialForBeginners #futureofKubernetes #Kubernetesin2021 #KubernetesExplained #KubernetesEdureka #EdurekaTraining
————Edureka Online Training and Certification———–
Kubernetes Training: http://bit.ly/2ZauSTy
Python Online Training: https://bit.ly/2CQYGN7
AWS Online Training: https://bit.ly/2ZnbW3s
RPA Online Training: https://bit.ly/2Zd0ac0
Data Science Online Training: https://bit.ly/2NCT239
Big Data Online Training: https://bit.ly/3g8zksu
Selenium Online Training: https://bit.ly/3dIrh43
PMP Online Training: https://bit.ly/3dJxMTW
Tableau Online Training: https://bit.ly/3g784KJ
—————-Edureka Masters Programs————
DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
Data Scientist Masters Program: https://bit.ly/2YHaolS
Big Data Architect Masters Program: https://bit.ly/31qrOVv
Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
Business Intelligence Masters Program: https://bit.ly/2BPLtn2
Python Developer Masters Program: https://bit.ly/2Vn7tgb
RPA Developer Masters Program: https://bit.ly/3eHwPNf
How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 20 hours of assignment, 20 hours of project
3. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
– – – – – – – – – – – – – –
About the Course
Edureka’s Kubernetes Certification Training introduces you with the advantages provided by containers over the virtual machines.
You will understand why we need an orchestration tool for containers. You will also get to know the boundaries of Kubernetes – what it does and what is it not supposed to do.
You will also understand the inherent architecture of Kubernetes – master components, node components and the addons provided by it. The course will start off with learning the basic components of Kubernetes like Node, Pod, Deployment, Services, APIs etc and then teach you to create a local cluster using Ubuntu VMs.
– – – – – – – – – – – – – –
For Online Training and Certification, Please write back to us at email@example.com or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information