DevOps projects using Kubernetes: a hands-on guide
DevOps projects using Kubernetes: a hands-on guide, available at $64.99, has an average rating of 4.7, with 30 lectures, based on 34 reviews, and has 1573 subscribers.
You will learn about 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 This course is ideal for individuals who are Aspiring DevOps engineers who want to expand their knowledge with real-world projects or Kubernetes users who need to see how Kubernetes can be used in various DevOps scenarios on AWS or Anyone who uses AWS as their cloud provider of choice and wants to master DevOps and Kubernetes on that platform or Developers with some DevOps familiarity who want to see how to use CI/CD on AWS with Kubernetes or 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 It is particularly useful for Aspiring DevOps engineers who want to expand their knowledge with real-world projects or Kubernetes users who need to see how Kubernetes can be used in various DevOps scenarios on AWS or Anyone who uses AWS as their cloud provider of choice and wants to master DevOps and Kubernetes on that platform or Developers with some DevOps familiarity who want to see how to use CI/CD on AWS with Kubernetes or 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.
Enroll now: DevOps projects using Kubernetes: a hands-on guide
Summary
Title: DevOps projects using Kubernetes: a hands-on guide
Price: $64.99
Average Rating: 4.7
Number of Lectures: 30
Number of Published Lectures: 30
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
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:
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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.
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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.
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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
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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.
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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!
Course Curriculum
Chapter 1: Three ways to deploy Kubernetes on AWS
Lecture 1: Welcome
Lecture 2: Why those Kubernetes-deployment methods?
Lecture 3: Kubernetes deployment on AWS using kops
Lecture 4: Kubernetes deployment on AWS using EKS
Lecture 5: Kubernetes deploynent on AWS using kubeadm (1) – Packer
Lecture 6: Kubernetes deployment on AWS using kubeadm (2) – Terraform
Lecture 7: Which Kubernetes deployment-method is the best?
Chapter 2: Provisioning cloud-native applications on Kubernetes
Lecture 1: What are we going to build?
Lecture 2: App-provisioning on Kubernetes using Kustomize
Lecture 3: App-provisioning on Kubernetes using Helm
Lecture 4: Blue/Green deployments (A/B testing) using Helm (extra lecture)
Lecture 5: Introduction to Kubernetes Operators
Lecture 6: What is Kudo Operator Builder?
Lecture 7: Provisioning MySQL on Kubernetes using Kudo operator builder
Lecture 8: Build your own Kudo operator (managing Nginx day-2 operations)
Lecture 9: Section conclusion
Chapter 3: Exploring our sample application "The Weather App"
Lecture 1: Exploring our sample microservices application (the Weather App)
Lecture 2: Provisioning the "weather App" using docker-compose (extra lecture)
Lecture 3: Provisioning the "Weather App" using Helm to Kubernetes
Chapter 4: Implementing CI/CD with Kubernetes using GitLab
Lecture 1: What is CI/CD?
Lecture 2: Setting up a CI/CD user for EKS and non-EKS Kubernetes clusters
Lecture 3: Setting up a GitLab repository
Lecture 4: Preparing the GitLab CI/CD pipeline
Lecture 5: GitLab CI stage 1: Build and Push
Lecture 6: GitLab CI stage 2: Delivery to staging environments
Lecture 7: GitLab CI stage 3: Deployment to production environment
Chapter 5: Handling Disaster Recovery situations in Kubernetes on AWS
Lecture 1: Using EBS snapshots for Kubernetes disaster recovery
Lecture 2: Introducing Velero as a Kubernetes disaster recovery tool
Lecture 3: Using Velero to restore data to the same Kubernetes cluster
Lecture 4: Using Velero to clone a Kubernetes cluster (aka data migration)
Instructors
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Ahmed Elfakharany
Lead DevOps engineer | Cloud-Native tech expert | Writer
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 12 votes
- 5 stars: 20 votes
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