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Design, Implement and Deploy Kubernetes Cluster from Scratch

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Based on 32 ratings
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Packt Publishing

Kubernetes is a powerful tool developed by Google for managing containerized applications in a clustered environment. Kubernetes helps you automate, deploy, scale, and manage containerized applications. It gives you the freedom to take advantage of on-premise cloud infrastructures. It also helps you write better cloud-native applications. Kubernetes is a core tool in DevOps; it gives you the ability to schedule and manage containers (Docker or otherwise) at scale. If you’re looking to use Kubernetes in production and have a better understanding of how to manage your containers using Kubernetes. then this Course is perfect for you.

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Kubernetes is a powerful tool developed by Google for managing containerized applications in a clustered environment. Kubernetes helps you automate, deploy, scale, and manage containerized applications. It gives you the freedom to take advantage of on-premise cloud infrastructures. It also helps you write better cloud-native applications. Kubernetes is a core tool in DevOps; it gives you the ability to schedule and manage containers (Docker or otherwise) at scale. If you’re looking to use Kubernetes in production and have a better understanding of how to manage your containers using Kubernetes. then this Course is perfect for you.

This comprehensive 2-in-1 course is a fast-paced guide offering hands-on and practical guidance with step-by-step instructions to design, implement and deploy Kubernetes Cluster for production grid environment. You’ll initially get up and running with fundamentals of Kubernetes and container orchestration. You'll build your own container cluster and manage it as well as secure the cluster and handle service discovery. Moving further, you'll streamline the way you deploy and manage your applications with large-scale container orchestration. Also, monitor and troubleshoot Kubernetes clusters and run highly available Kubernetes. Finally, you’ll be able to use Kubernetes in production and will have a better understanding of how to manage your containers using Kubernetes.

By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the ‘Kubernetes way’.

Contents and Overview

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Kubernetes in 7 Days, covers managing applications in a productionised Kubernetes. This course will help you to unravel the potential of Kubernetes in the shortest amount of time. You will begin by creating your first Kubernetes cluster using Minikube. Then move on to exploring Kubernetes in some more detail and build a complex cluster. By the 4th Day, you will learn to enhance your cluster with a Grafana based monitoring dashboard in your application. Once you’ve acquired knowledge on dashboards, explore how a Kubernetes cluster provisions storage to its applications and learn how to secure them. Finally, learn to create a CI/CD pipeline to build and deploy your applications.

The second course, Kubernetes Recipes, covers how to orchestrate and automate deployment with Kubernetes services. You will first learn how Kubernetes works with containers and will work through an overview of the main Kubernetes features such as pods, replication controllers, and more. Next, you will learn how to create Kubernetes clusters and how to run programs on Kubernetes. Then you will be introduced to features such as high availability, setting up Kubernetes masters, using Kubernetes with Docker, and orchestration with Kubernetes using AWS. Later, you will explore how to use Kubernetes-UI and how to set up and manage Kubernetes clusters on the cloud and bare-metal. You will also work through recipes on microservice management with Kubernetes. Upon completion of this course, you will be able to use Kubernetes in production and will have a better understanding of how to manage your containers using Kubernetes.

By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the ‘Kubernetes way’.

About the Authors

● Des Drury is a passionate technologist with many years' experience in all aspects of data center infrastructure, automation, programming languages, and developer workflows. He is:- Co-organizer of the Melbourne Kubernetes Meetup- Author of Open Datacentre, a Kubernetes distribution with numerous datacenter workloads;- A Kubernetes evangelist from the early days of its release;- Passionate about helping teams to understand complex technology- Teaches the skills required for team members to solve their own problems- An excellent communicator and enjoys helping people, passing on knowledge, and improving processesHe has also built numerous tools that have been adopted as enterprise solutions and has received a number of awards.

● Subhankar Sengupta has vast experience in DevOps, Kubernetes and Microservices domains. He is a senior architect, working for Red Hat, Emerging Technologies and is responsible for architecting containerization strategy via enterprise Kubernetes adoption for large BFSI and Government sectors. He has the practitioner's view of the day-to-day challenges and could talk from an insider's perspective. The target audience will be able to leverage his experience and could learn complex topics with relative ease.

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What's inside

Learning objectives

  • Monitor kubernetes clusters and run a highly available kubernetes.
  • Manage your applications with large-scale container orchestration.
  • Secure kubernetes using an access and identity management server.
  • Deploy an automation server and create a pipeline as a code solution to build and deploy an application.
  • Deploy and manage highly scalable, containerized applications with kubernetes.
  • Adopt secure and high-performance best practices with kubernetes.
  • Track metrics and logs for every container running in your cluster.
  • Streamline the way you deploy and manage your applications with large-scale container orchestration.
  • Monitor and troubleshoot kubernetes clusters and run highly available kubernetes.

Syllabus

Kubernetes in 7 Days

This video will give you an overview about the course.

This video describes how to install the pre-requisite software for the course.

  • Install kubectl and Virtual box

  • Install Minikube and Helm and Visual Studio

  • Install kubectx and kubens and kubetail

Read more

This video describes the steps to create a local development cluster using Minikube.

  • Get to know how to install a number of the Kubernetes add-ons

This video provides a quick exploration of some of the important aspects of the Minikube cluster.

  • Learn how to work on the Kubernetes dashboard and the CLI.

This video describes how to build an application with Docker.

  • Describe the application in a Kubernetes native way

  • Deploy the application to Kubernetes

  • Finally test it in Kubernetes.

This video is your homework for day one.

  • Take a look at the Question and try solving it on your own before the next lecture

This video does a quick whistle stop tour of the Kubernetes architecture.

  • Explore Kubernetes processes.

  • Understand Kubernetes concepts.

  • Learn important Kubernetes resource types

This video describes the Kubernetes manifests

  • Explore in detail Kubernetes resources.

  • Create Kubernetes resources.

This video describes the kubeconfig file.

  • Configure kubectl CLI using the kubeconfig file

This video describes the need for package management in Kubernetes.

  • Describe Kubernetes package called Helm.

  • Install Helm to Clusters.

  • Re-deploy first-app using Helm.

This video describes how to deploy a more complex application using Helm.

  • Explore the Helm chart

  • Install Helm

  • Deploy MediaWiki

This video is your homework for day two.

  • Deploy the first-app application to Minikube.

This video describes how to install a multi-node Kubernetes cluster with kubeadm using a project called k8s-vagrant-multi-node.

  • Explore about kubeadm from the documentation

  • Install Vagrant

  • Install the cluster

This video explores some the features of a multi-node Kubernetes cluster.

  • Check the nodes present

  • Explore in detail about all the nodes

This video demonstrates how to deploy some of the first workloads you will need on your cluster.

  • Deploy Helm

  • Deploy Ingress Controller and Heapster

  • Install Kubernetes Dashboard

This video describes how to redeploy the first-app using Helm, but this time with an Ingress resource

  • Take a look at the Ingress resource template

  • Deploy into the cluster

  • Test the application

This video is your homework for day three.

  • Install the multi-node cluster onto your own machine and deploy the initial workloads to it.

This video describes how Kubernetes uses probes to facilitate self healing of workloads in the cluster.

  • Explore types of Probe

  • Learn about Probe actions

  • Implement Probes in code

This video describes Prometheus, a very popular monitoring solution and timeseries database (TSDB).

  • Explore Prometheus architecture

  • Install Prometheus into the cluster

  • Explore some of the available metrics

This video provides a quick overview of Grafana.

  • Learn about Grafana

  • Deploy Grafana into the cluster

  • Log in to the Grafana web UI

This video describes how to find pre-built Grafana dashboards

  • Explore the dashboard

  • Understand the different areas of the dashboard

  • Deploy the 2nd dashboard

This video is your homework for day four.

  • Install Prometheus and Grafana into the cluster

This video describes how Kubernetes uses PersistentVolumes (PVs) and PersistentVolumentClaims (PVCs) to manage storage for an application.

  • Explore types of Persistent volumes

  • Learn about Access Modes

  • Discuss how storage classes are used to enable the dynamic provision of persistent volumes

This video provides an overview of Rook, a Kubernetes operator to manage storage clusters like Ceph.

  • Explore Rook architecture

  • Install Rook into the cluster.

  • Deploy an example to test the block storage

This video describes how you can use the Rook Toolbox to get a deeper understanding of the Ceph components.

  • Explore in detail about the Rook toolbox

  • Deploy Rook in an example

This video describes how to deploy a HA MariaDB database that makes use of the persistent storage provided by Rook.

  • Install MariaDB

  • Deploy a HA version of the MariaDB database

  • Clean up the rook sample workloads

This video is your homework for day five.

  • Install Rook on your cluster and then redeploy Prometheus and Grafana to use persistent storage.

This video describes how Role Based Access Control (RBAC) is used within Kubernetes to secure components of the cluster.

  • Explore RBAC resources and implement it

  • Learn about cluster roles and implement it

  • Explore cluster role bindings and implement it

This video describes how to install Keycloak, an open source access management and identity server, into the cluster.

  • Install Keycloak

  • Configure Keycloak to help protect Kubernetes

This video describes how to configure Kubernetes to use OIDC to secure cluster components.

  • Get the ca.crt file

  • Restart the API server

This video describes how to extend the Kubernetes Dashboard deployment so that it is now protected by an OIDC proxy that authenticates with Keycloak.

  • Deploy the Kubernetes manifests

  • Connect to Ingress

  • Log in to the Kubernetes dashboard

This video describes how to configure kubectl so that a user authenticated by Keycloak is used to access the cluster.

  • Authenticate Keycloak

  • Update the kube config file

  • Map the user against cluster and access the cluster

This video is your homework for day six.

  • Secure the Kubernetes cluster using Keycloak

This video provides a quick overview of Continuous Integration (CI) / Continuous Deployment (CD) concepts.

  • Explore Typical CI workflow

  • Learn about Continuous Delivery and Continuous Deployment

This video describes how to install Jenkins, a very popular automation server often used to implement CI/CD.

  • Install Jenkins

  • Deploy a Docker in Docker (DIND) service to build containers in the cluster.

This video describes how Jenkins implements the Pipeline as Code concept using a Jenkinsfile.

  • Learn the types of Jenkinsfile

  • Explore Kubernetes plugin for Jenkins

  • Take a look at the Jenkinsfile to build the first-app

This video describes how to create a Jenkinsfile to build and deploy the first-app we saw in earlier Sections of the course.

  • Create a fork

  • Navigate to the Jenkinsfile and modify the repository name

  • Build the Pipeline created

This video is your homework for day seven

  • Install Jenkins and setup a pipeline to build and deploy the first-app

This video provides an overview of the entire course.

In this video, we will learn about containers—the building blocks of Kubernetes.

  • Understand what a container is and why we use it

  • Learn the advantages of Docker container

  • Input commands to get familiar with the Docker container

In this video, we will study the key components that make up the architecture of a Kubernetes cluster.

  • Define what Kubernetes is

  • Understand the architecture of the Kubernetes cluster

  • Discuss the flow of data in the Kubernetes cluster

This video will cover the deployment of Minikube, which is a one node deployment of Kubernetes cluster.

  • Understand what Minikube is

  • Understand the deployment of Minikube

  • Ensure the service of Minikube

This video elaborates the structure of YAML file and the common objects used in it.

  • Understand the YAML file and its formatting structure

  • Discuss the common Kubernetes object used in YAML file

This video will cover the deployment of our first pod in our Minikube cluster.

  • Create a YAML file for the deployment of pod

  • Discuss each component in the pod YAML file

  • Ensure the creation of the pod and its services using kubectl and Docker command utilities

This video elaborates about the planning of Kubernetes cluster and the major components that you need to consider when deploying the Kubernetes cluster.

  • Understand why we need the Kubernetes cluster-based architecture with use cases

  • Discuss the major components that are required or can be optional as per your organization needs

  • Define helm and how we can make the internal repo in order to get our previous projects

In this video, you will learn about the environment setup of Kubernetes cluster and what are the minimum requirements that you need in order to follow along with this course.

  • Understand the lab environment resources

  • Get an overview of the service ports for cluster communication in Kubernetes cluster

  • Elaborate the steps required in order the deploy Kubernetes cluster

This video focus on the installation and configuration of Kubernetes cluster.

  • Understand how to install and configure the Kubernetes cluster

  • Join the worker nodes with the master node

  • Check the nodes status and all system pods

This video focus on the validation services of Kubernetes cluster. You will also learn the troubleshooting steps for the deployment of Kubernetes cluster.

  • Check the system pods status and swap partition

  • Check the services on the worker nodes

  • Check the logs of pods or use the journal system for looking into logs

This video focus on the communication details inside the Kubernetes cluster.

  • Understand the flow of Kubernetes cluster communication

  • Learn the primary communication paths used in the Kubernetes cluster

  • Get a summary of the section

In this video, you will learn what deployment is and roll your updates back when needed.

  • Prepare the YAML file for deployment

  • Update the deployment

  • Learn how to roll back the deployment

This video focuses on the service networking in Kubernetes, specifically kube-proxy.

  • Understand how to expose the services

  • Configure and expose the service of an application inside the Kubernetes cluster

  • Define the kube-proxy and other networking methods used in Kubernetes

This video focuses on how the ingress feature works in Kubernetes cluster. Furthermore, we have configured the ingress for a use case.

  • Install ingress controller in Kubernetes cluster

  • Deploy a pod and create a service for the ingress

  • Create a rule for the ingress and access the application outside the Kubernetes cluster

In this video, you will learn how to deploy a load balancer in Kubernetes cluster.

  • Define load balancers in the Kubernetes cluster

  • Understand how to deploy a load balancer

  • Discuss the YAML file to deploy a load balancer

In this video, you will learn about the cluster DNS and service discovery inside the Kubernetes cluster. You will also learn about the troubleshooting steps if the cluster DNS is not working.

  • Discuss the service discovery in Kubernetes cluster

  • Check the cluster DNS services

  • Troubleshoot the cluster DNS problems

In this video, you will learn to configure and deploy a NFS-based storage application in which the mount point for the storage of POD will be the same.

  • Configure the NFS storage server

  • Configure the persistent volume and claim the storage

  • Create our pod to check whether the NFS storage is working or not

In this video, you will understand the self-healing concept in Kubernetes.

  • Check the response of the pod if it is removed from deployment kind

  • Shut down one of the nodes in the Kubernetes cluster to see how it responds

In this video, you will learn how to create a trigger if the application fails in the container.

  • Grasp the concept of liveness probes in Kubernetes

  • Define the use cases and benefits of liveness probe in Kubernetes

  • Demonstrate and test how to implement the liveness probe

This video elaborates the auto-scaling concepts in Kubernetes.

  • Understand what auto-scaling is

  • Explain a cost effectiveness use case

  • Define how auto-scaling is driven by metrics

In this video, you will learn how to deploy the auto-scaling feature in Kubernetes using Horizontal Pod Auto-scaling (HPA).

  • Understand the steps to perform auto-scaling using HPA

  • Deploy the pod and learn how to auto-scale it

  • Understand the configuration of HPA and how our configuration will impact our application

In this video, you will get an overview in monitoring in the Kubernetes cluster.

  • Understand what monitoring is

  • Learn the different types of monitoring

  • Get an overview of Prometheus and Grafana

In this video, you will learn about technical configurations and installation of Prometheus and Grafana.

  • Understand the installation method

  • Discuss the steps for installation and configuration

  • Install Prometheus and Grafana verify their services

In this you will learn about monitoring the Kubernetes infrastructure using Grafana.

  • Discuss Kubernetes monitoring using the Grafana community Dashboard

  • Import a community dashboard using Grafana

  • Explore the features of the Grafana community Dashboard

In this video, you will learn about application monitoring and how you can collect the monitoring data from an application.

  • Discuss the way to collect the monitoring data from an application

  • Plan a framework or language when creating an application to get the monitoring data

  • Implement the service so it can automatically collect the data from application

In this video, you learn how to configure alerting in the Grafana dashboard.

  • Understand what alerting is and how it is significant in an organization environment

  • Set up alerts

  • Set the notification channel

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers Kubernetes, a core tool in DevOps, giving learners the ability to schedule and manage containers at scale, which is essential for modern application deployment
Taught by Subhankar Sengupta, a senior architect at Red Hat, who brings a practitioner's view of the day-to-day challenges of enterprise Kubernetes adoption, offering valuable insights
Includes hands-on labs using Minikube and kubeadm to build and manage Kubernetes clusters, providing practical experience in deploying and troubleshooting applications
Requires installing software such as VirtualBox, Minikube, and Helm, which may require additional setup and configuration steps for learners unfamiliar with these tools
Explores tools like Helm, Prometheus, and Grafana, which are standard in the industry for package management, monitoring, and visualization of Kubernetes clusters
Uses Keycloak for access and identity management, which may require learners to set up and configure an external identity provider, adding complexity to the deployment process

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Reviews summary

Practical kubernetes cluster deployment

According to learners, this course provides a largely positive experience, especially for those seeking practical skills in Kubernetes. Students appreciate the hands-on approach and the attempt to cover topics from building clusters from scratch to more advanced areas like monitoring, security, and CI/CD. Many find the content relevant for production environments. However, some reviewers noted that the setup process can be challenging and that the course may assume a higher level of prior technical knowledge than the title suggests, potentially leading to a steep learning curve for absolute beginners. Keeping up with Kubernetes' rapid changes is also a potential warning point, though the core concepts remain valuable.
Keep up with K8s rapid evolution.
"Kubernetes changes quickly, some sections might become slightly outdated over time."
"It's important to check for updates or supplementary material as K8s evolves."
"While the core concepts are solid, specific commands or versions might differ now."
"The fundamental principles taught are still highly relevant."
Covers a broad range of K8s aspects.
"This course covers an impressive breadth of topics, from basics to advanced concepts."
"I appreciate the inclusion of monitoring, security, and CI/CD pipelines."
"Getting both 'Kubernetes in 7 Days' and 'Kubernetes Recipes' provides a complete view."
"It touches upon many components necessary for production use."
Strong focus on practical implementation.
"The hands-on labs and exercises are incredibly useful for understanding concepts."
"Building the cluster from scratch really helped solidify my knowledge."
"I found the practical steps for deployment and monitoring especially valuable for my job."
"The demos are well-explained and easy to follow along with."
Not for absolute beginners.
"Despite the 'from scratch' title, this course assumes familiarity with Linux, Docker, and networking."
"The pace is fast; if you don't have prerequisites, you might struggle."
"I felt I needed more background before diving into some of the complex topics."
"It's 'Kubernetes from scratch', but not necessarily 'IT from scratch'."
Environment setup can be difficult.
"Setting up the lab environment was the hardest part of the course."
"I ran into many issues getting Minikube and the multi-node cluster working."
"Spent a lot of time troubleshooting installation errors rather than learning Kubernetes."
"Compatibility problems with different OS versions complicated the setup significantly."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Design, Implement and Deploy Kubernetes Cluster from Scratch with these activities:
Review Containerization Concepts
Solidify your understanding of containerization fundamentals before diving into Kubernetes. This will make grasping Kubernetes concepts easier.
Browse courses on Containerization
Show steps
  • Read articles and documentation on Docker and containerization.
  • Experiment with Docker commands to build and run containers.
  • Familiarize yourself with container orchestration principles.
Review 'Kubernetes in Action'
Gain a deeper understanding of Kubernetes architecture and best practices. This book provides a solid foundation for the course.
View Kubernetes in Action, Second Edition on Amazon
Show steps
  • Read the first few chapters covering Kubernetes fundamentals.
  • Focus on chapters related to deployment and service management.
  • Refer to the book as a reference throughout the course.
Deploy a Simple Application on Minikube
Gain hands-on experience with Kubernetes by deploying a simple application. This will reinforce your understanding of Kubernetes concepts.
Show steps
  • Create a Docker image for a simple web application.
  • Write Kubernetes manifests (Deployment, Service) for the application.
  • Deploy the application to Minikube using kubectl.
  • Verify the application is running and accessible.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Document Your Kubernetes Journey
Solidify your understanding by documenting your learning process. Explaining concepts in your own words will improve retention.
Show steps
  • Create a blog or online notebook.
  • Document each step of the course, including challenges and solutions.
  • Share your documentation with other learners for feedback.
Kubernetes YAML Manifest Exercises
Master Kubernetes configuration by practicing writing YAML manifests. This will improve your ability to deploy and manage applications.
Show steps
  • Find online resources with Kubernetes YAML manifest examples.
  • Modify existing manifests to achieve different configurations.
  • Create manifests from scratch based on specific requirements.
Review 'Effective Kubernetes'
Learn how to design and deploy cloud-native applications effectively on Kubernetes. This book provides practical guidance and best practices.
View Putting Knowledge to Work on Amazon
Show steps
  • Read chapters related to application architecture and deployment strategies.
  • Focus on sections covering scalability, resilience, and monitoring.
  • Apply the principles learned to your own Kubernetes projects.
Contribute to Kubernetes Documentation
Deepen your understanding by contributing to the Kubernetes community. This will expose you to real-world challenges and best practices.
Show steps
  • Identify areas in the Kubernetes documentation that need improvement.
  • Submit pull requests with corrections or enhancements.
  • Participate in discussions and code reviews.

Career center

Learners who complete Design, Implement and Deploy Kubernetes Cluster from Scratch will develop knowledge and skills that may be useful to these careers:
DevOps Engineer
A DevOps engineer works to streamline software development and deployment processes, often focusing on automation, infrastructure as code, and continuous integration and continuous delivery pipelines. This course gives you the ability to schedule and manage containers at scale, which is a core part of this job. The course content on creating CI/CD pipelines to build and deploy applications directly aligns with a DevOps engineer's responsibilities. This course provides practical experience in managing containerized applications with Kubernetes, a vital tool in DevOps, making it an excellent fit for an aspiring DevOps engineer.
See salaries and explore the career path for DevOps Engineer
Cloud Engineer
A cloud engineer is responsible for designing, implementing, and managing cloud-based systems and infrastructure. This course provides hands-on experience in designing and deploying Kubernetes clusters, which is a crucial skill for cloud engineers who work with containerized applications. The course further provides instruction on how to manage, secure, and monitor these clusters, which are essential tasks for this role. This course teaches how to build a production-class container infrastructure and gives a firm understanding of how to use Kubernetes in production, making it valuable for anyone interested in becoming a cloud engineer.
See salaries and explore the career path for Cloud Engineer
Platform Engineer
A platform engineer builds and maintains the underlying infrastructure and tools that development teams use to build and deploy applications. Skills developed through this course, such as designing and implementing Kubernetes clusters, managing container orchestration, and ensuring high availability of systems, are essential to this role. This course guides you through the process of building a production-class container infrastructure, using Kubernetes, and learning how to monitor and troubleshoot clusters. A platform engineer will benefit from the hands on experience provided by this course to build a strong platform.
See salaries and explore the career path for Platform Engineer
Site Reliability Engineer
A site reliability engineer focuses on the reliability, performance, and scalability of software systems. This course goes over key aspects of Kubernetes, like how to monitor and troubleshoot clusters and run highly available systems. A site reliability engineer would be interested in the course's instruction on container orchestration and how to secure Kubernetes. This course also includes techniques for monitoring and logging, that help ensure reliable systems. The course will help prepare you to manage Kubernetes in a production environment, an important aspect of site reliability engineering.
See salaries and explore the career path for Site Reliability Engineer
Infrastructure Engineer
An infrastructure engineer focuses on the design, implementation, and maintenance of an organization's IT infrastructure. This course, which covers the design, implementation, and deployment of Kubernetes clusters, can be extrememly helpful. An infrastructure engineer will utilize the skills developed in this course to build out modern infrastructure. The course includes information on container orchestration, securing clusters, and monitoring tools, allowing an infrastructure engineer to develop relevant skills.
See salaries and explore the career path for Infrastructure Engineer
Release Engineer
A release engineer manages and automates the process of software releases. Many release engineers are adopting Kubernetes to manage containerized applications. This course covers the deployment of automation servers and the creation of CI/CD pipelines, which are standard tasks for a release engineer. Learning Kubernetes helps a release engineer manage the deployment process for modern apps. This course directly helps in building skills related to CI/CD for modern container based deployments.
See salaries and explore the career path for Release Engineer
Application Architect
An application architect designs the structure of applications, ensuring they meet business requirements and are scalable and maintainable. This course covers key aspects of Kubernetes, including how to deploy and manage containerized applications at scale. An application architect who wishes to implement cloud native applications will appreciate the course's hands-on approach to Kubernetes. This course may help an application architect expand their knowledge of modern cloud technologies.
See salaries and explore the career path for Application Architect
Solutions Architect
A solutions architect designs and implements complex IT solutions that meet specific business needs. This role often requires designing systems that are scalable, reliable, and secure, all of which are covered in this course as it relates to Kubernetes. Through this course, you will engage in hands-on work with Kubernetes clusters, and it will help you develop essential skills in container orchestration. This course may be useful for a solutions architect interested in containerization and cloud-native applications.
See salaries and explore the career path for Solutions Architect
Cloud Consultant
A cloud consultant advises organizations on how to best use cloud technologies. This course provides a deep dive into Kubernetes, which is a critical technology for managing applications in the cloud. A cloud consultant should be familiar with different architectural patterns, which Kubernetes enables. By taking this course, a cloud consultant would learn about the practical applications of Kubernetes. This course may help expand a cloud consultant's familiarity with cloud-native applications.
See salaries and explore the career path for Cloud Consultant
Systems Administrator
A systems administrator manages and maintains computer systems, including servers and networks. This course may be useful for those who wish to modernize their skills. The course content addresses container orchestration with Kubernetes, deploying applications, and managing clusters, which are all tasks that a modern systems administrator would use. This course would help give knowledge on how to manage containerized applications with Kubernetes, adding a valuable skill to their repertoire. This course may allow a systems administrator to pivot to new trends.
See salaries and explore the career path for Systems Administrator
Software Developer
A software developer writes, tests, and debugs code for applications. This course may be useful for software developers who want to learn how to deploy their applications using modern container based deployments. The course includes topics related to containerization, Kubernetes, and CI/CD pipelines, which are extremely helpful. This course would help any software developer deploy their applications to the cloud, utilizing modern tools.
See salaries and explore the career path for Software Developer
Backend Engineer
A backend engineer develops the server-side logic for web and mobile applications. This course teaches how to deploy and manage containerized applications using Kubernetes. The course includes instruction on building CI/CD pipelines to automate the deployment process, which a backend engineer may utilize in their workflow. This course may be useful for a backend engineer that wishes to modernize their skills.
See salaries and explore the career path for Backend Engineer
Technical Project Manager
A technical project manager oversees projects related to technology. A technical project manager does not necessarily need to be a subject matter expert in a technology, but they should be familiar with modern trends. This course provides a look into the world of cloud native and containerized applications using Kubernetes. This course may be useful for a technical project manager to stay informed about technological trends.
See salaries and explore the career path for Technical Project Manager
Network Engineer
A network engineer designs, implements, and maintains an organization's network infrastructure. While not directly related to networking, it is increasingly useful for a network engineer to understand how applications are deployed in modern environments. A network engineer can gain the useful context on how containerized applications are deployed on Kubernetes. This course can help a network engineer understand the infrastructure used by developers, which will help them do their own work.
See salaries and explore the career path for Network Engineer
Data Engineer
A data engineer builds and maintains the infrastructure required for data storage and processing. This course may be useful for data engineers interested in using Kubernetes to manage big data applications. The course gives instruction on how to manage containerized applications with Kubernetes. This course may help a data engineer in deploying and managing modern data infrastructure in the cloud.
See salaries and explore the career path for Data Engineer

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Design, Implement and Deploy Kubernetes Cluster from Scratch.
Cover image
Kubernetes in Action, Second Edition
Save
Provides a comprehensive guide to Kubernetes, covering everything from basic concepts to advanced deployment strategies. It's a valuable resource for understanding the underlying principles and best practices of Kubernetes. It is commonly used as a textbook at academic institutions. This book adds more depth to the existing course.
Kubernetes in Action, Second Edition
Paperback
$$$
Cover image
Putting Knowledge to Work
Save
Focuses on the practical aspects of building and deploying cloud-native applications on Kubernetes. It provides valuable insights into designing scalable and resilient systems. This book is more valuable as additional reading than it is as a current reference. It adds more breadth to the existing course.
Putting Knowledge to Work
Paperback
Check
Putting Knowledge to Work
Kindle Edition
Check

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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers Kubernetes, a core tool in DevOps, giving learners the ability to schedule and manage containers at scale, which is essential for modern application deployment
Taught by Subhankar Sengupta, a senior architect at Red Hat, who brings a practitioner's view of the day-to-day challenges of enterprise Kubernetes adoption, offering valuable insights
Includes hands-on labs using Minikube and kubeadm to build and manage Kubernetes clusters, providing practical experience in deploying and troubleshooting applications
Requires installing software such as VirtualBox, Minikube, and Helm, which may require additional setup and configuration steps for learners unfamiliar with these tools
Explores tools like Helm, Prometheus, and Grafana, which are standard in the industry for package management, monitoring, and visualization of Kubernetes clusters
Uses Keycloak for access and identity management, which may require learners to set up and configure an external identity provider, adding complexity to the deployment process
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