Learn Devops Kubernetes deployment by kops and terraform faq

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4.3
learnersLearners: 38,000
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This course will teach you how to create an AWS Kubernetes cluster, set up a Kubernetes cluster using Kops, run immutable infrastructure with Terraform, and deploy an NGINX web server with custom content to Kubernetes. You will also learn about Kubernetes deployment concepts, horizontally scalable deployment, and how to view logs and enter a Docker container within a Kubernetes pod. This course is ideal for those looking to learn DevOps, Kubernetes deployment, Kops, and Terraform.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Udemy

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

Self Paced

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 25th, 2023]

DevOps Kubernetes Deployment is a course designed to help learners understand the fundamentals of Kubernetes and how to deploy it on AWS using Kops and Terraform. Learners will gain an understanding of Kubernetes concepts such as immutable infrastructure, horizontally scalable deployment, and Docker containers. They will also learn how to set up a Kubernetes cluster using Kops, run immutable infrastructure with Terraform, view logs, and enter a Docker container within a Kubernetes pod. Additionally, learners will learn how to deploy an NGINX web server with custom content to Kubernetes. The skills learned in this course can be applied to other cloud providers besides AWS.

[Applications]
After this course, students can apply their knowledge to other cloud providers besides AWS, as well as use Kubernetes' horizontally scalable deployment to deploy an NGINX web server with custom content. Additionally, they can use the skills they have learned to view logs and enter a Docker container within a Kubernetes pod.

[Career Paths]
1. DevOps Engineer: DevOps Engineers are responsible for the development, deployment, and maintenance of software systems. They work closely with developers, system administrators, and other IT professionals to ensure that software is deployed and maintained in a timely and efficient manner. They must be knowledgeable in a variety of technologies, including cloud computing, automation, and containerization. As the demand for DevOps Engineers continues to grow, so does the need for professionals with the skills to manage and deploy software systems.

2. Cloud Architect: Cloud Architects are responsible for designing, deploying, and managing cloud-based systems. They must be knowledgeable in a variety of cloud technologies, including virtualization, containerization, and automation. Cloud Architects must also be able to design and implement secure and scalable cloud-based systems. As the demand for cloud-based systems continues to grow, so does the need for Cloud Architects with the skills to design and deploy these systems.

3. Kubernetes Administrator: Kubernetes Administrators are responsible for the deployment, maintenance, and management of Kubernetes clusters. They must be knowledgeable in a variety of technologies, including containerization, automation, and cloud computing. As the demand for Kubernetes continues to grow, so does the need for professionals with the skills to manage and deploy Kubernetes clusters.

4. Terraform Engineer: Terraform Engineers are responsible for the development, deployment, and maintenance of Terraform-based systems. They must be knowledgeable in a variety of technologies, including automation, cloud computing, and containerization. As the demand for Terraform-based systems continues to grow, so does the need for professionals with the skills to manage and deploy these systems.

[Education Paths]
The following degree paths are recommended for learners of this course:

1. Bachelor of Science in Computer Science: This degree path provides a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is ideal for those interested in developing and deploying applications on Kubernetes.

2. Master of Science in Cloud Computing: This degree path focuses on the development and deployment of cloud-based applications and services. It covers topics such as cloud architecture, cloud security, and cloud infrastructure. This degree path is ideal for those interested in deploying applications on Kubernetes in a cloud environment.

3. Master of Science in DevOps: This degree path focuses on the development and deployment of applications and services using DevOps principles. It covers topics such as continuous integration, continuous delivery, and automation. This degree path is ideal for those interested in deploying applications on Kubernetes using DevOps principles.

The development and deployment of applications on Kubernetes is an emerging trend in the software engineering industry. As more organizations move to the cloud, the need for skilled professionals who can develop and deploy applications on Kubernetes is increasing. Therefore, pursuing any of the above degree paths can help learners stay ahead of the curve and gain the skills necessary to succeed in this field.

Pros & Cons

Pros Cons
  • pros

    Helps understand other courses better.

  • pros

    Comprehensive intro to setup env on AWS Kubernetes cluster.

  • pros

    Very knowledgeable instructor.

  • pros

    Productive 2hr of learning.

  • pros

    Free course.

  • cons

    Outdated installation process.

  • cons

    No real world examples.

  • cons

    Not serving web pages using DNS domain name.

  • cons

    Issues with last two classes.

  • cons

    Not an in depth course.

Course Provider

Provider Udemy's Stats at AZClass

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1. What is Kops?

2. What is Terraform?

3. What is horizontally scalable deployment?

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