Learn Devops Kubernetes deployment by kops and terraform

Students will learn how to create EC2 instance (server) in AWS by specificity few lines of Terraform code. This should give students the idea how useful is to use Terraform code for building their own infrastructure in AWS (this knowledge can be used for other cloud providers too).   

Students will learn some basic kops command specification for creation of Kubernetes cluster in AWS. I'm going through all the flags used with kops command just to make sure anybody can understand how to use kops command with AWS on his/her own.

Continuation of previous lecture. Students will learn some basic kops command specification for creation of Kubernetes cluster in AWS. I'm going through all the flags used with kops command just to make sure anybody can understand how to use kops command with AWS on his/her own. This lecture is mostly about the importance of a hosted zone in AWS and necessity of having some domain name available.

Students will learn how to actually execute kops (terraform code generated kubernetes.tf) command and execute terraform code which was pre-generated by kops. They will also learn how to destroy Kubernetes cluster by using terraform destroy.

Student will be walked through what has been created in AWS when they actually created their first Kubernetes cluster in AWS.

Students will lean how to proceed two step deployment simply by running two commands: kubectl create deployment ... and kubectl expose deployment... They will be able to go to their browsers and navigate to some the link where they will be seeing Welcome to Nginx landing page. 

This lecture is about the recapitulation of a previous one. I wanted to describe what has happened in our Kubernetes cluster when I run two simple commands (kubectl create deployment ..., kubectl expose deployment ...). I just want to make sure that this simple deployment concept was well understood and explained.

This lecture explains how that basically any object in Kubernetes can be defined in form of YAML files (e.g. some_service.yaml). I am explaining how to edit POD and SERVICE objects throughout this lecture. If we want to imagine what we can really call as an OBJECT in Kubernetes - we might think about POD, SERVICE, DEPLOYMENT, REPLICA SET, INGRESS, CONFIGMAP, and many many others. These are greatly documented in the official Kubernetes web page. 

The goal of this lecture is to explain how to deploy our own content (in our case there are some *.css, *.js and index.html files) to NGINX web server which will be deployed in our Kubernetes cluster on AWS. The document root (folder where NGINX web server reads the content it is going to be served to the world) is normally "/usr/share/nginx/html". The tricky part is that we are dealing with NGINX as a Docker container within POD in Kuberneters. Well, we needed to come up with some way how to get our content (*.css, *.js and index.html files) and place/save/deploy it to desired folder "/usr/share/nginx/html" inside Docker container in Kubernetes. We solved this task by creating an object in Kubernetes called CONFIGMAP. We have simple taken our files (*.css, *.js and index.html) saved in our PC or MAC, server and saved them to the configmap named nginx-content (you can name it whatever name you like). This configmap is then loaded in volumeMounts section of out deployment specification file - deployment_file.yaml. There are other ways how to accomplish this task for example by using some other "storage-like" objects in Kubernetes in order to be able to place your own content to particular (some specific) folder inside Docker container scheduled in Kubernetes cluster.    

Actual NGINX deployment is covered within this lecture. I'm explaining how to trigger deployment in Kubernetes simply by defining basic Deployment specification as well as Service specification. I'm also covering topics like how to get inside the Docker container (NGINX) deployed in Kubernetes cluster, seeing logs of particular Pod (NGINX in our case). I'm also explaining how to process and scale horizontal deployment which is often considered as one of the greatest Kubernetes feature. Furthermore, I'm demonstrating how to kill/delete one of the NGINX Pods and this Pod is automatically recreated thanks to ReplicaSet kubernetes object. The final result is obviously NGINX (custom content) deployed in Kubernetes cluster on AWS.  

I will go through what Students have learned and achieved by completing this basic course on Kubernetes in AWS. I will summarize what they should be able to do after this course and I will also announce that I am about preparing some more advanced coursed on Kubernetes in future.