Kubernetes for Beginners (Kubernetes + Docker + DevOps)
This course on Kubernetes for Absolute Beginners, was primarily designed with the beginners in mind.
You’ll learn a lot of DevOps workflow hands-on in this course.
In addition to covering everything you need to known about Kubernetes, this course also covers the very basics on virtualization and cloud technologies, including Docker Containers.
This is a hands-on Kubernetes course with a lot of Labs, and Demos.
Here is a brief summary of what you’ll learn in this course:
Virtual Machines,
Docker containers,
Difference between Virtual Machines and Docker Containers,
How to build Docker Container Images and run them.
How to push Docker Images to Docker Hub Registry
Difference between Docker and Kubernetes
What is Kubernetes
Kubernetes vs Docker Swarm
Why Google Open Sourced Kubernetes
What is the need for Kubernetes,
What is the problem that Kubernetes addresses
How end users benefit from Kubernetes,
Kubernetes Competitors
How to create a real multi-node Kubernetes Cluster in Google Cloud Platform
How to create a Minikube cluster on your laptop or VM.
How to create, run and manage Docker Containers as Pods in Kubernetes Cluster at cloud scale
How to create a Kubernetes Deployment
How to create a Kubernetes Load Balancer Service
Basics on Microservices Architecture
How to scale up and Scale down Pods in Kubernetes Cluster
How to perform DevOps workflow (rollout and rollback software updates to Pods) in a Kubernetes Cluster
How to drain a Kubernetes Node for maintenance using High Availability
How to add back the node to the cluster after the maintenance.
How to dismantle the Kubernetes Cluster.
This is a hands-on Kubernetes course with a lot of Labs, and Demos.
The course was created by a very senior technical architect and devops guru who has more than 16 years of experience in working for various silicon valley companies.
***Please Note***
If you are not completely satisfied with the course, you can request for a full refund from Udemy anytime within the first 30 days.
Introduction
Docker Containers - Crash Course
Microservices Architecture
Kubernetes
Our goal is to create a 3 node Kubernetes Cluster. In this video, we'll create 3 Virtual Machines - one VM would function as a Kubernetes Master Node and the remaining two VM's would function as Kubernetes Worker Nodes.
We'll use the Google Cloud Platform to create the 3 Ubuntu Virtual Machines.
In this video, we'll put together a Kubernetes Cluster using the 3 Ubuntu Virtual Machines we created in the previous video. Our goal is to create a 3 node Kubernetes cluster( one master node and two worker nodes)
When you build a 3 node cluster with one master and two worker nodes, the pods will be distributed between the two worker nodes.
You'll notice a problem when you try to refresh the browser or poll the URL multiple times, similar to what the script does.
This problem has something to do with the networking in the Kubernetes.
This is because I use the IP address of one of the worker nodes as the load-balancer external IP address. So the pods running in that worker node would respond, but the pods running in the other worker node couldn't be reached. Eventhough the IP addresses of both worker nodes are pingable from each other.
This seems to be a bug in the Kubernetes Calico CNI driver.
To workaround this problem, I drained and brought down the other worker node, so that all pods run in the worker node who's IP address has been assigned to the load-balancer service. This will enable the load balancer to talk to all pods.
This is just to clarify the issue and make you be aware of the issue. Hope you could work around it when you try it on your own.
Kubernetes - Advanced Topics
Kubernetes - Very Advanced Topics
Bonus Lecture
