Deploying A Cloud Native Application into Kubernetes

This training lesson is designed to help you master the skills of deploying cloud-native applications into Kubernetes.

Observe first hand the end-to-end process of deploying a sample cloud-native application into a Kubernetes cluster. By taking this lesson you'll not only get to see firsthand the skills required to perform a robust enterprise-grade deployment into Kubernetes, but you'll also be able to apply them yourself as all code and deployment assets are available for you to perform your own deployment:

https://github.com/cloudacademy/voteapp-frontend-react
https://github.com/cloudacademy/voteapp-api-go
https://github.com/cloudacademy/voteapp-k8s

Kubernetes Resources

This training lesson provides you with in-depth coverage and demonstrations of the following Kubernetes resources:

1. Namespace
2. Deployment/ReplicaSet
3. Pod
4. Service
5. Ingress/Ingress Controller
6. StatefulSet
1. Persistent Volume
2. Persistent Volume Claim
3. Headless Service
7. NetworkPolicy

Learning Objectives

What you'll learn:

• Learn and understand the basic principles of deploying cloud-native applications into a Kubernetes cluster
• Understand how to set up and configure a locally provisioned Kubernetes cluster using Minikube
• Understand how to work with and configure many of the key Kubernetes cluster resources such as Pods, Deployments, Services, etc.
• And finally, you’ll learn how to manage deployments and Kubernetes cluster resources through their full lifecycle.

Demonstration

This training lesson provides you with many hands-on demonstrations where you will observe first hand how to

• Create and provision a Minikube Kubernetes cluster
• Install the Cilium CNI plugin
• Build and deploy Docker containers
• Create and configure Kubernetes resources using kubectl

Prerequisites

• A basic understanding of containers and containerization
• A basic understanding of software development and the software development life cycle
• A basic understanding of networks and networking

Intended Audience

• Anyone interested in learning Kubernetes
• Software Developers interested in Kubernetes containerization, orchestration, and scheduling
• DevOps Practitioners