Docker Kubernetes MasterClass : Hands-On DevOps from Scratch

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Implement Kubernetes Build Test Execute Docker App in Kubernetes Cluster, 100% hands-on in Docker Kubernetes for DevOps

What you’ll learn in Docker Node Kubernetes Course

How to use Docker, Compose and Kubernetes on your/cloud machine using DevOps practices.
Create a multi-node highly-available Kubernetes cluster on Linux.
Hand’s-on with best Devops practices for making Docker Dockerfiles and Compose files like a Pro!
Build, publish your own custom Docker images & Execute on Docker on Kubernetes as DevOps.
Install and configure Kubernetes on Premise & Cloud.
Kubernetes Package applications with Helm and write your own Helm charts for your applications.
Add users, set quotas/limits, do node maintenance, setup monitoring on Kubernetes Cluster.

Requirements

No paid software required – Just install your favorite text editor and browser!
Have a GitHub and Docker Hub account.
Knowledge of Git and Linux will be preferred but NOT required.
No prior Knowledge of Kubernetes Required.

Description

Complete Docker Node Kubernetes Certification Course on Udemy.

Course Focus on building efficient computing DevOps infrastructures using Kubernetes and Docker.

Help you to be Pro in Docker Kubernetes and Achieving Carrer Changing Goals.

Help you to get Docker Kubernetes Certified Engineer and Pay Hike.

After taking this course, you’ll be able to:

Use Docker in your daily developer and/or sysadmin roles
Make Dockerfiles and Docker Compose files
Build multi-node Docker Swarm clusters and deploying H/A containers
Build a workflow of using Docker in dev, then test/CI, then production with YAML
Protect your keys, TLS certificates, and passwords with encrypted secrets in Docker Kubernetes
Keep your Dockerfiles and images small, efficient, and fast
Develop locally while your code runs in a Docker container
Protect important persistent data in volumes and bind mounts in Docker
Lead your team into the future with the latest Docker container skills!

Docker Kubernetes Training: Become Job Ready in Docker Node Containerization by learning Docker Ecosystem, creating Docker images using Dockerfiles, Installing Ubuntu Linux and CentOS Linux, Granting Docker Control to Non-root Users, Security, Orchestration, Network Configuration Files, etc. You will also get an exposure to industry based real-time projects in various verticals.

This course will help you to gain an understanding of how to deploy, use, and maintain your applications on Kubernetes. If you are into DevOps, this is a technology you need to master. Kubernetes has gained a lot of popularity lately and it is a well-sought skill by companies.

This course is updated frequently to include the features of the latest releases!

Be ready for the Dockerized future, where nearly all software is developed and deployed in containers. Welcome to the most complete and up-to-date course for learning and using Docker end-to-end, from development and testing to deployment and production.

Just starting out with Docker? Perfect. This course starts out assuming you’re new to containers.

This is a living course and will be updated as Docker features and workflows change.

Why DevOps skills?

Nowadays DevOps engineers are in great demand in the IT industry. Companies are looking for developers who can both develop and deploy the applications.

The average salary of a DevOps engineer is about $145,000 per year in the Silicon Valley area which is 20% higher than the salary of a software engineer.

Master DevOps Skills means you will be staying ahead in the competitive job market!

Some of the many cool things you’ll do in this course:

Edit web code on your machine while it’s served up in a container
Lockdown your apps in private networks that only expose necessary ports
Create a 3-node Swarm cluster in the cloud
Use Virtual IP’s for built-in load balancing in your cluster
Optimize your Dockerfiles for faster building and tiny deploys
Build/Publish your own custom application images
Create your own image registry
Use Swarm Secrets to encrypt your environment configs, even on disk
Deploy container updates in a rolling always-up design
Create the config utopia of a single set of YAML files for local dev, CI testing, and prod cluster deploys
And so much more…