Docker Kubernetes MasterClass: DevOps from Scratch from 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 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...

30-day money-back guarantee.

You will get a 30-day money-back guarantee from Udemy for this course.

If not satisfied simply ask for a refund within 30 days.

Are you ready to take your DevOps skills and career to the next level, take this course now.

What's inside

Learning objectives

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.

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.

Syllabus

Course Introduction

Course Introduction & RoadMap

Kubernetes Course Resources: Git Location

Docker Container : The Big Picture

Career center

Learners who complete Docker Kubernetes MasterClass: DevOps from Scratch will develop knowledge and skills that may be useful to these careers:

DevOps Engineer

A DevOps Engineer is at the forefront of streamlining software development and IT operations. This role focuses on automating and integrating processes across the software development lifecycle, from code deployment to infrastructure management. The "Docker Kubernetes MasterClass: DevOps from Scratch" course aligns perfectly with the core competencies of a DevOps Engineer, as it is explicitly designed to help learners master the essential technologies for building efficient computing DevOps infrastructures using Kubernetes and Docker. The course's emphasis on best DevOps practices for Dockerfiles, Compose files, and managing multi-node Kubernetes clusters directly equips individuals to excel in automating deployments, ensuring high availability, and managing the entire application lifecycle, which are critical responsibilities for a DevOps Engineer.

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Kubernetes Administrator

A Kubernetes Administrator is responsible for the deployment, maintenance, and day-to-day operation of Kubernetes clusters. This involves managing resources, ensuring security, and troubleshooting issues within the orchestration ecosystem. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is an ideal pathway for aspiring Kubernetes Administrators. The learning objectives directly mention creating multi-node highly-available Kubernetes clusters, installing and configuring Kubernetes on premise and cloud, adding users, setting quotas and limits, doing node maintenance, and setting up monitoring on Kubernetes Cluster. This comprehensive coverage, including packaging applications with Helm and writing Helm charts, provides the extensive practical skills required to effectively administer complex Kubernetes environments.

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Site Reliability Engineer

A Site Reliability Engineer focuses on ensuring the reliability, scalability, and performance of large-scale systems. This involves a deep understanding of infrastructure, automation, and incident management. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is highly relevant for a Site Reliability Engineer, as it provides comprehensive training in Docker containerization and Kubernetes orchestration. Learning to build and manage multi-node highly-available Kubernetes clusters, deploy container updates in a rolling always-up design, and set up monitoring on Kubernetes Cluster directly supports the SRE's goal of maintaining robust and fault-tolerant systems. The course's focus on persistent data handling, network configuration, and zero-downtime service upgrades are also fundamental to ensuring system reliability.

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Container Platform Engineer

A Container Platform Engineer specializes in developing, deploying, and maintaining the underlying containerization platforms that support various applications. This role requires deep expertise in container technologies and orchestration systems. The "Docker Kubernetes MasterClass: DevOps from Scratch" course offers core skills for a Container Platform Engineer. It focuses on the Docker ecosystem, creating Docker images using Dockerfiles, and mastering Kubernetes for deploying and maintaining applications. The course's deep dive into building efficient computing DevOps infrastructures, Docker Swarm, and Kubernetes administration including secrets management and network configuration, directly equips learners to design and manage robust container platforms that enable development teams to deploy applications efficiently.

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Platform Engineer

A Platform Engineer is responsible for building and maintaining the foundational platforms that enable software development teams to operate efficiently. This often involves creating self-service tools, optimizing deployment pipelines, and ensuring system reliability. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is exceptionally relevant for a Platform Engineer. It provides comprehensive skills in Docker containerization and Kubernetes orchestration, which are central to modern platform development. The course's focus on building efficient computing DevOps infrastructures, managing multi-node Kubernetes clusters, and deploying applications with Helm charts directly aligns with the goal of creating robust and user-friendly platforms. This training helps in delivering scalable and secure environments for development teams.

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Solutions Architect

A Solutions Architect designs holistic technical solutions to meet business requirements, often involving complex systems integration, scalability, and performance considerations. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is invaluable for a Solutions Architect. It provides a deep understanding of containerization and orchestration crucial for architecting modern, resilient, and scalable applications. Knowledge of Docker Swarm, Kubernetes, and best DevOps practices for deploying multi-node highly-available applications allows the architect to design robust infrastructures. The ability to create a config utopia of a single set of YAML files for local dev, CI testing, and production cluster deploys is a powerful tool for designing consistent and efficient solution architectures. A Solutions Architect will be better equipped to recommend and implement cutting-edge technology stacks.

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Cloud Engineer

A Cloud Engineer designs, implements, and manages cloud-based infrastructure and applications, ensuring they are scalable, secure, and cost-efficient. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is exceptionally beneficial for a Cloud Engineer, as modern cloud environments heavily leverage containerization and orchestration technologies. The course teaches how to install and configure Kubernetes on Premise and Cloud, create Linux servers on the cloud, and build multi-node Swarm clusters in the cloud. This hands-on experience in deploying and managing containerized applications within cloud environments, along with skills in building efficient computing DevOps infrastructures, directly prepares individuals to architect and maintain cloud-native solutions effectively.

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DevSecOps Engineer

A DevSecOps Engineer integrates security practices into every stage of the DevOps pipeline, ensuring that applications and infrastructure are secure by design and continuously monitored. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is particularly valuable for a DevSecOps Engineer. It explicitly covers crucial security aspects within containerized environments, such as protecting keys, TLS certificates, and passwords with encrypted secrets in Docker Kubernetes. Furthermore, the course teaches granting Docker control to non-root users and focuses on security in Docker ecosystem. This direct emphasis on securing container deployments, managing secrets effectively, and understanding network configuration within Docker Swarm and Kubernetes empowers a DevSecOps Engineer to implement robust security measures from development through production.

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Release Engineer

A Release Engineer is responsible for managing and automating the successful delivery of software releases, ensuring consistency, quality, and efficiency throughout the deployment process. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is highly relevant for a Release Engineer. It focuses on building a workflow of using Docker in dev, then test/CI, then production with YAML, which is central to release management. The ability to build and deploy stacks using Docker Swarm, deploy container updates in a rolling always-up design, and manage zero-downtime service upgrades are critical skills. This course provides the practical expertise in containerization and orchestration necessary to create robust, automated, and reliable release pipelines, ensuring smooth and consistent software deployments.

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Automation Engineer

An Automation Engineer is dedicated to designing, developing, and implementing automated systems and processes across various functions, from testing to infrastructure provisioning. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is highly suitable for an Automation Engineer. It provides extensive training in tools fundamental to modern automation strategies. The course teaches how to use Docker in developer and sysadmin roles, make Dockerfiles and Docker Compose files, and build a workflow of using Docker in dev, then test/CI, then production with YAML. Mastering container orchestration with Docker Swarm and Kubernetes, along with managing container deployments and updates, directly enhances an Automation Engineer's capacity to streamline complex operations and ensure consistent, repeatable processes.

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Infrastructure Engineer

An Infrastructure Engineer designs, builds, and maintains the foundational technology systems that support an organization's operations. This often includes servers, networks, and storage, increasingly shifting towards software-defined and cloud-native solutions. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is highly relevant for an Infrastructure Engineer aiming to modernize their skill set. The course focuses on building efficient computing DevOps infrastructures using Kubernetes and Docker. Understanding how to manage containers on host machines, handle persistent data in Docker containers, and create multi-node Docker Swarm clusters directly contributes to designing resilient and scalable infrastructure. This course helps individuals manage and automate infrastructure components effectively in a containerized world.

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Technical Lead

A Technical Lead guides and mentors a team of engineers, making critical technical decisions and ensuring best practices are followed. This often involves evaluating and adopting new technologies. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is a strong asset for a Technical Lead. It equips them to lead their team into the future with the latest Docker container skills, as explicitly stated. Understanding efficient computing DevOps infrastructures using Kubernetes and Docker allows a lead to make informed architectural choices, guide team members in modern deployment practices, and troubleshoot complex issues. Mastery of container orchestration, security, and networking within these environments enables the Technical Lead to drive innovation and ensure their team builds and deploys high-quality, scalable applications.

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Cloud Native Application Developer

A Cloud Native Application Developer designs and builds applications specifically optimized for cloud environments, often leveraging microservices architectures and containerization. The "Docker Kubernetes MasterClass: DevOps from Scratch" course is highly beneficial for a Cloud Native Application Developer. It teaches how to develop locally while code runs in a Docker container, build and publish custom application images, and deploy applications on Kubernetes. Understanding Dockerfiles, Docker Compose files, and the entire containerization ecosystem helps developers write applications that are inherently portable, scalable, and resilient in a cloud-native context. This course provides developers with the knowledge to create applications that seamlessly integrate with container orchestration platforms.

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Backend Software Engineer

A Backend Software Engineer develops and maintains the server-side logic, databases, and APIs that power applications. While their primary focus is code, understanding deployment environments is increasingly vital. The "Docker Kubernetes MasterClass: DevOps from Scratch" course may be useful for a Backend Software Engineer. It allows developers to refine their skills in building container-friendly applications. The course teaches how to use Docker in daily developer roles, optimize Dockerfiles for faster building and tiny deploys, and develop locally while code runs in a Docker container. This understanding of containerization and deployment workflows can significantly improve a developer's ability to create robust, scalable, and deployable backend services, fostering better collaboration with DevOps teams.

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Systems Administrator

A Systems Administrator manages and maintains an organization's computer systems, ensuring their optimal performance, security, and availability. While traditional roles might focus on physical servers, modern sysadmins increasingly manage virtualized and containerized environments. The "Docker Kubernetes MasterClass: DevOps from Scratch" course may be useful for a Systems Administrator seeking to expand into contemporary infrastructure management. The course covers installing Ubuntu Linux and CentOS Linux, granting Docker Control to Non-root Users, and managing containers on host machines. It also introduces orchestration with Docker Swarm and Kubernetes, which are becoming standard for deploying and maintaining applications. Such skills help a Systems Administrator transition from traditional server management to modern, container-centric infrastructure.

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Docker Kubernetes MasterClass

DevOps from Scratch

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