DevOps projects using Kubernetes: a hands-on guide

Name: DevOps projects using Kubernetes: a hands-on guide
Rating: 4.5 (72 reviews)

Master DevOps using Kubernetes on AWS using real-world scenarios. Move your skillset to the next level.

Created byAhmed Elfakharany

Last updated 11/2023

English

English [Auto],

What you'll learn

Apply the latest DevOps and Kubernetes practices in real-world scenarios
Gain hands-on experience by doing real labs
Advance your DevOps career in Kubernetes
Add more projects to your GitHub portfolio

Course content

5 sections • 30 lectures • 3h 38m total length

Welcome1:38
Master Kubernetes deployments on AWS through three methods, using Packer and Terraform, with Customize and Helm, bluegreen deployments, and disaster recovery with EBS Snapshots and Valero.
Why those Kubernetes-deployment methods?1:33
Assess three Kubernetes deployment methods on an AWP account—cups, the ICS managed service, and Curium—focusing on mindset, prerequisites, and alternatives like Red Hat OpenShift Kubespray using Ansible.
Kubernetes deployment on AWS using kops10:18
Deploy a kubernetes cluster on AWS with cops, configuring DNS and S3 state storage, installing kubectl, and launching a 3-node, highly available cluster across three AZs.
Kubernetes deployment on AWS using EKS3:32
Deploy a kubernetes cluster on aws using KDL with a yaml config; compare cloud formation, terraform, and cloud cli options; provision workers and enable logging; delete the cluster when done.
Kubernetes deploynent on AWS using kubeadm (1) - Packer9:04
Learn to build an amazon machine image with packer for a kubernetes cluster on aws, then configure master and worker nodes with ansible.
Kubernetes deployment on AWS using kubeadm (2) - Terraform9:28
Learn to deploy a Kubernetes cluster on AWS with kubeadm using Terraform. Build a vpc with subnets and a bastion, then set up a load balancer and Weave Works networking.
Which Kubernetes deployment-method is the best?3:21
Choose the simplest Kubernetes deployment method that fits your needs, then automate infrastructure with Terraform and Ansible, and optionally customize with kubeadm for advanced requirements.

What are we going to build?0:48
Learn three deployment approaches for cloud native applications on a Kubernetes cluster, starting with customize, then exploring Kubernetes operators with a sample operator builder in hands-on labs.
App-provisioning on Kubernetes using Kustomize11:23
Discover how to provision apps on a Kubernetes cluster with Kustomize, using base manifests and environment overlays for dev, qa, and production. Apply global changes across all environments via overlays.
App-provisioning on Kubernetes using Helm16:25
Explore helm as the Kubernetes package manager, using charts and values to deploy, configure, upgrade, and rollback applications like WordPress, with templates, environments, and releases.
Blue/Green deployments (A/B testing) using Helm (extra lecture)6:58
Learn blue/green deployments AB testing in Kubernetes with Helm, switching traffic between blue and green deployments via a service using current target to achieve zero-downtime rollbacks.
Introduction to Kubernetes Operators5:42
Learn how Kubernetes operators automate configuration changes and data operations using custom resources and controllers. Compare operators with Helm and understand how rolling updates occur as deployments scale.
What is Kudo Operator Builder?8:42
Explore how Guru enables Kubernetes operator building with a kubectl plugin, managing operator resources and templates via plans, parameters, and tasks for flexible deployments.
Provisioning MySQL on Kubernetes using Kudo operator builder8:50
Deploy and manage MySQL on a Kubernetes cluster using the Kudo operator builder, installing the MySQL operator, configuring resources, and running backup and restore plans.
Build your own Kudo operator (managing Nginx day-2 operations)10:45
Build a custom Kudo operator to deploy Enter Next nginx, parameterize replicas and log file, and manage day-one and day-two operations with deployment, service, and config map templates.
Section conclusion1:09
Explore three provisioning approaches for cloud native apps on a Kubernetes cluster: customized helm, helm templates, and the operator SDK. Tailor deployments to day-one and day-two operations.

Exploring our sample microservices application (the Weather App)11:49
Explore a three microservices weather app built with Go, JavaScript, and Python, dockerized for local testing, and learn CI/CD workflows toward Kubernetes deployments.
Provisioning the "weather App" using docker-compose (extra lecture)5:18
Learn to provision the weather app with docker-compose, define services, images, environment variables, and internal networks, and prepare for Kubernetes deployment using Helm.
Provisioning the "Weather App" using Helm to Kubernetes12:14
Provision the weather app on Kubernetes with Helm, deploying four microservice charts, using a dependent MySQL chart and secrets for API keys, while enabling CI/CD driven upgrades.

What is CI/CD?7:06
Explore continuous integration, delivery, and deployment and how pipelines, containers, and Kubernetes enable automated testing and deployment from developers to production.
Setting up a CI/CD user for EKS and non-EKS Kubernetes clusters11:22
Learn to set up secure Kubernetes users for CI/CD on both EKS and non-EKS clusters, including creating certificates, generating kube configs, configuring roles and namespaces, and validating access.
Setting up a GitLab repository5:46
Discover how to use GitLab as a DevOps hub by creating a private project, configuring a local repository, and securely pushing code with SSH keys for CI/CD pipelines.
Preparing the GitLab CI/CD pipeline6:18
Prepare a GitLab ci/cd pipeline for Kubernetes deployments by configuring credentials, encoding the kube config file in environment variables, and deploying with Helm to staging and production via merge requests.
GitLab CI stage 1: Build and Push7:34
GitLab CI stage 2: Delivery to staging environments5:43
Learn to add a deliver stage in GitLab CI that deploys to a staging environment using Helm, pins image tags to the commit hash, and enforces main branch deployments.
GitLab CI stage 3: Deployment to production environment8:06
Learn how to promote code from staging to production in a GitLab CI pipeline by tagging releases, retagging Docker images, and triggering a manual Helm deployment to Kubernetes.

Using EBS snapshots for Kubernetes disaster recovery16:03
Explore disaster recovery in Kubernetes using EBS snapshots, the EBS CSI driver and volume snapshot class, and restore data via PVCs and the snapshot controller.
Introducing Velero as a Kubernetes disaster recovery tool2:31
Learn how Velero enables disaster recovery and data migration in Kubernetes by snapshotting persistent volumes and etcd objects, storing backups in an S3 bucket for easy restore.
Using Velero to restore data to the same Kubernetes cluster5:10
Learn how Velero backs up data and restores it to the same Kubernetes cluster for disaster recovery, including roles and service accounts.
Using Velero to clone a Kubernetes cluster (aka data migration)3:42
Explore how Velero enables disaster recovery and data migration by restoring backups to a second Kubernetes cluster, implementing active-passive failover and validating end-to-end failover workflows.

Requirements

Some Linux background (you should be comfortable using the shell)
Kubernetes knowledge. I assume you already know basic Kubernetes components and are looking to apply this knowlegde on real-world projects.
AWS background (basic services like EC2, S3, Route53, etc.)
Docker background
Ansible and Terraform background is a plus

Description

This class in one mile wide and one foot deep!

Welcome to DevOps projects using Kubernetes - a hands-on guide. This class is an intermediate to advanced level one. I designed it for anyone who has some basic DevOps and cloud (AWS) experience but they need hands-on labs to practice what they've learned.

Get ready to take your Kubernetes, AWS, and DevOps knowledge and experience to the next level by exploring how real-world companies use these technologies

In this class, you will find very little theory and very much hands-on. It's important to understand how this course is designed before making the decision to enroll in it. For example, you will find many practical use-cases for Helm. But you will not find a reference to all Helm commands. I assume you already have some experience with that. I also assume that you have some Kubernetes and AWS knowledge so topics like StatefulSets, Deployments, Pods, and IAM roles, EC2 instances, and S3 buckets will not be explained from scratch.

Having said that, let's explore what this class covers:

More than one way to deploy Kubernetes on AWS. Although most companies choose the easy option which is using EKS for deploying Kubernetes, there are other ways available like kops. If you don't want to use a tool, you can even do it the hard way using kubeadm. We'll see how we can semi-automate the process using Terraform and Packer.
When it comes to app-provisioning in Kubernetes, the list goes long. In section 2, we explore the most well-known app-provisioning tools. We start with Kustomize, then we move to Helm. Finally, we dive into the most sophisticated (yet, most powerful) way of Kubernetes app-provisioning: using operators. We'll learn about Kudo, which takes care of a lot of the heavy lifting for us.
For the rest of the class, we could not just continue with a Hello-World type of application. We needed something more complex yet easy to digest. So, we developed an application specifically for this class called "The Weather app". It's a microservices application that consists of three components. Written in Go, JavaScript, and Python, The Weather App will help you understand the DevOps concepts laid out in the rest of the course
In the CI/CD part of this class, we explore Gitlab, which is one of the most prominent tools out there. We create a simple CI pipeline then we gradually make it more complex by introducing continuous delivery and deployment.
Finally, we explain how we can establish disaster recovery and data protection using EBS volume snapshots as well as using a third-party tool called Velero.

I hope you will enjoy watching this class and doing the labs inside. As always, you have 30-days money-back guarantee, no questions asked. Go ahead and have a look at the preview videos, and enroll now!

Who this course is for:

Aspiring DevOps engineers who want to expand their knowledge with real-world projects
Kubernetes users who need to see how Kubernetes can be used in various DevOps scenarios on AWS
Anyone who uses AWS as their cloud provider of choice and wants to master DevOps and Kubernetes on that platform
Developers with some DevOps familiarity who want to see how to use CI/CD on AWS with Kubernetes
Those who want to switch to the DevOps career although the course will need some effort from them as it is an intermediate level one

DevOps projects using Kubernetes: a hands-on guide

What you'll learn

Explore related topics

Course content

Three ways to deploy Kubernetes on AWS7 lectures • 39min

Provisioning cloud-native applications on Kubernetes9 lectures • 1hr 11min

Exploring our sample application "The Weather App"3 lectures • 29min

Implementing CI/CD with Kubernetes using GitLab7 lectures • 52min

Handling Disaster Recovery situations in Kubernetes on AWS4 lectures • 27min

Requirements

Description

Who this course is for: