Kubernetes 101 - First Steps in Cloud/Server Development

In this lecture, we'll develop a counter app consisting of three microservices and deploy it on Kubernetes. This will help you understand core Kubernetes concepts and the fundamental principles of microservice architecture.

• The ingress API gateway forwards requests to services.
• The web-inc service handles count increment requests (INC).
• The web service processes requests (GET) for the count value.
• The redis service stores the count value.

We will learn how to create and manage Kubernetes components using kubectl, the Kubernetes command tool.

• Deployment is done using the nginx image, which is a web server.
• Expose the nginx pod as a service.
• Create an ingress API gateway and connect the service.

Develop a simple web service and deploy it to Kubernetes. Learn how to specify and manage Kubernetes components using YAML files.

• Develop web services with the Node.js HTTP module.
• Create (build) a Docker image to deploy the developed web service.
• Deploy the created image as a deployment.
• Exposes the pods created by the deployment as a service.

This course covers the basic process of developing cloud/server apps in a Kubernetes environment (development - image build - deployment). The source code for Section 2 is available on GitHub.

• v1-hello-kubernetes
• v2-hostname

We develop a counter app that stores the count value as a file in a persistent volume and serves it.

This tutorial demonstrates how to automate builds and deployments using Google Cloud Code. The source code for Section 3 is available on GitHub.

• v3-counter

We will implement the final structure of this lecture, which consists of a web-inc service that handles count increase requests, a web service that returns the count value, and a redis service that stores the count value in a Redis DB.

• Stateless web and web-inc services that do not require state storage are configured as deployments.
• Redis services that need to store state are configured as statefulsets.
• Set up Redis DB in master-slave structure.
• Set up an ingress API gateway that routes services based on requests.
• We also set up an autoscaler to automatically adjust the number of pods based on CPU load.

The source code for Section 4 is available on github.

• v4-counter-with-redis