DevOps Toolkit: Learn Kubernetes with Practical Exercises!

Sign up for Google Cloud Platform with a Gmail account, activate a free trial with 300 USD credit, create your first project, and explore the GCP console.

Set up a Kubernetes cluster by selecting a project, configuring node size and memory, choosing region and zones, and connecting via Google Cloud Console and Cloud Shell using kubectl.

Deploy a stateless guestbook app with three deployments (frontend, backend, and read/slave pods) and expose the frontend via a load balancer. Use kubectl to observe state and perform rolling updates.

Walk through stateless Kubernetes YAML files for front-end deployment and load-balanced services, focusing on replicas, labels, selectors, and registry images.

Configure stateless Kubernetes deployments and services with matched labels, appropriate ports, replicas, and resource requests, including cluster IP versus load balancer exposure.

Create and populate deployment files in a cloud console by building a guestbook folder, adding a front-end deployment file, and editing via a vim-style editor using copy-paste.

Deploy three deployments (front end and two others) with kubectl apply -f, verify with kubectl get deployments and services, and align replicas and IP types with the desired state.

Explore Kubernetes deployments and pods, labeling front and back end components, using kubectl to describe deployments and view pods, with a hands-on look at the GCP console and load balancers.

Access the front-end via the service endpoint to submit data, observe pod recreation under the desired state, and learn why this application remains stateless with non-persistent data.

See load balancing in action within a Kubernetes setup, distributing HTTP requests evenly across front-end pods. Observe per-pod workload, and verify fair distribution through logs as more users join.

Redeploy the front-end with a node port, exposing the service beyond the load balancer. Create a Google Cloud firewall rule, obtain the external IP, and access the guestbook page.

Change the service to cluster ip to restrict access to internal traffic, then scale the deployment from 3 to 4 and to 5 replicas using file edits and kubectl apply.

Explore rolling updates in Kubernetes, updating a deployment image with minimal user disruption, checking rollout status, and quickly rolling back to a previous version when issues arise.

Delete deployments, services, and pods in the cluster while preserving the default service. Verify that the resources have been removed and that the cleanup completed properly.

Learn to deploy a simple stateful Kubernetes database application by defining a persistent volume claim in a YAML file, attach a service, and ensure pods automatically reach the desired state.

Open the yaml file, configure a MySQL deployment and service, and attach a 10 gigabyte persistent volume claim. Restrict external access with labels and emphasize local storage on the vm.

Set up a kubernetes engine cluster on google cloud platform, manage it to avoid charges, and deploy a stateful mysql service with persistent volumes using kubectl.

Deploy and connect to a MySQL database via a terminal. Create a database and a table, insert sample rows, and verify data persistence across deletions in a practical hands-on exercise.

Observe how a stateful application preserves data across pod deletions using a system volume. Verify persistence by querying databases after cluster cleanup.