Learn Devops Kubernetes deployment by kops and terraform

Comprehensive Nginx deployment to Kubernetes on AWS by using kops and terraform
Free tutorial
Rating: 4.4 out of 5 (1,539 ratings)
53,887 students
1hr 53min of on-demand video
English

Deploy Kubernetes cluster in AWS.
Learn how to use Kops to spin up Kubernetes cluster.
Learn how to use Terraform to run immutable infrastructure.
Learn deployment concepts in Kubernetes.
Learn how to get inside Docker container, watch logs.
Use knowledge learned throughout this course in another cloud providers than just AWS.
Learn about horizontally scaled deployment in Kubernetes.
Learn how to deploy NGINX web server with their custom content to Kubernetes in form of Docker container.
Learn how to see logs, get inside the Docker container within the pod in Kubernetes.

Requirements

  • Students should be motivated and willing and trying to understand Kubernetes concepts.
  • Students should have some very basic knowledge of command line (does not matter whether it would be Linux, Windows or Mac)
  • Should have PC or Mac (optionally some server they can SSH to and go through this course from remote server).

Description

Kubernetes as the orchestration platform for not only Docker containers is gaining more momentum everyday especially in DevOps like world. Besides other main orchestration systems Kubernetes can be considered as one of the most popular one. All big cloud providers like AWS, Google Cloud, Azure have already more or less adopted Kubernetes as a part of their portfolio and services. Kubernetes and Docker containers altogether create an ideal ecosystem for deploying micro services - which seems to be the model for next generation applications.


When thinking about containers and horizontally scalable applications we might be taking into account also some other other software such as Terraform which helps us tremendously to keep our infrastructure (independent of cloud provider) in immutable state. There are some officially supported tools like "kops" which hand in hand  with Terraform makes the Kuberentes deployment to AWS extraordinary easy and comprehensive and makes DevOps  people lives super easy.

The main goal of this course is to provide a comprehensive explanation to the people who are truly willing to deep dive in Kubernetes and Docker world and perhaps aspiring for DevOps carrier. In order to achieve this goal I have decided to use NGINX web server examples throughout this course - just because year back I was amazed by value which is delivered by web server itself. Imagine that every business in the world is serving their content via some kind of this powerful piece of software. Nowadays, we can take an advantage of deploying and scaling of docerized mainly Open Source web servers to Kubernetes at any cloud provider you can think of.

I hope you guys are going to enjoy this course and I am certain that anybody is more than good enough to complete this course. Crossed fingers and which you the best!


Who this course is for:

  • Beginner or Intermediate who are willing to understand and learn more about Kubernetes orchestration in AWS by using Docker containers.
  • This course is mainly for people interested in DevOps related industry.
  • People who understand some basic concepts of Docker container however, this course will just take an advantage of already build Docker containers
  • Anybody who is interested in container orchestration systems.
  • Anybody who wants to understand newest technology trends.

Instructor

Kubernetes enthusiast
Jan Toth
  • 4.1 Instructor Rating
  • 1,843 Reviews
  • 56,022 Students
  • 4 Courses

I have been in DevOps related jobs for past 6 years dealing mainly with Kubernetes in AWS and on-premise as well. I spent quite a lot of time with integrating Kubernetes in both Cloud environment as well as in on-premise (Elastic Kubernetes Service in AWS, AKS, GKE, Kops and Rancher - RKE, K3S, kubeadm). I have dealt with ELK stack (Elasticsearch, Logshash and Kibana) to a complex infrastructure monitoring. I'm dealing with dockerized Grafana and Prometheus setup in Kubernetes. Postgraduate student in a field of Optoelectronics (Free Space Optics communications). Engineer graduated in field of Info-electronics with five years of experience on System Administration and application administration as well as other related fields. 

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