Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system. Course will include a quiz at the end of the theory section to test and consolidate your learning.
Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made.
Course is split up into sections as below:
Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve.
Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures.
Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods.
Services - Various options for connecting pods to external traffic.
Deployments - Concept of replication set and launching of a kubernetes cluster.
Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying.
Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another.
Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster.
Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster.