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Alex Ellis

There is a growing interest in running software at the edge. This course takes a deep dive into the use cases and applications of Kubernetes at the edge using examples, labs, and a technical overview of the K3s project and the cloud native edge ecosystem.

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There is a growing interest in running software at the edge. This course takes a deep dive into the use cases and applications of Kubernetes at the edge using examples, labs, and a technical overview of the K3s project and the cloud native edge ecosystem.

This course is designed for those interested learning more about Kubernetes, as well as in deploying applications or embedded sensors in edge locations. While learners do not need a Kubernetes certification for this course, experience with a Linux operating system and shell scripting will be beneficial. Programming experience is also not strictly required. Learners will need to be able to run Docker on their computer.

In this course, you will learn the use cases for running compute in edge locations and about various supporting projects and foundations such as LF Edge and CNCF. The course covers how to deploy applications to the edge with open source tools such as K3s and k3sup, and how those tools can be applied to low-power hardware such as the Raspberry Pi. You will learn the challenges associated with edge compute, such as partial availability and the need for remote access. Through practical examples, students will gain experience of deploying applications to Kubernetes and get hands-on with object storage, MQTT and OpenFaaS. It also introduces the fleet management and GitOps models of deployment, and helps you understand messaging, and how to interface with sensors and real hardware.

This course will enable developers to learn about the growing impact the cloud native movement is having on modernizing edge deployments. They will also learn the challenges of deploying Kubernetes on the edge through a concrete example via the k3s project.

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What's inside

Learning objectives

  • Use cases for running compute in edge locations
  • How to deploy applications to the edge with open source tools such as k3s and k3sup
  • How open source tools can be applied to low-power hardware such as the raspberry pi
  • The challenges associated with edge compute, such as partial availability and the need for remote access
  • Gain experience of deploying applications to kubernetes and get hands-on with object storage, mqtt and openfaas
  • Fleet management and gitops models of deployment
  • Understand messaging and how to interface with sensors and real hardware

Syllabus

Welcome
Ch 1. The Case for Edge Compute
Ch 2. The Edge Compute Landscape
Ch 3. Scaling Down and System-on-Chip Devices
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Ch 4. What Is K3s and Why Is It needed?
Ch 5. Setting Up Your Lab Environment
Ch 6. Kubernetes API Primitives
Ch 7. Functions at the Edge
Ch 8. Command & Control and Remote Access
Ch 9. Deployment Strategies for Applications at the Edge
Ch 10. Challenges with Edge
Ch 11. Further Resources
Final Exam (verified track only)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Students with a background in Kubernetes may want to take this course to enhance their knowledge of deploying Kubernetes at the edge
Provides insights into the challenges of edge computing, such as latency and partial availability
Includes hands-on experience with object storage, MQTT, and OpenFaaS
The course is taught by subject matter experts
Focuses on practical applications of Kubernetes in edge computing scenarios
May be less accessible to those without prior experience in Linux, shell scripting, or Docker

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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 Introduction to Kubernetes on Edge with K3s with these activities:
Review the basics of Linux
Reviewing the basics of Linux will help you be more comfortable with the command line and terminal, which are essential for working with Kubernetes and edge computing.
Browse courses on Linux
Show steps
  • Find a tutorial or resource on the basics of Linux.
  • Go through the tutorial or resource.
  • Practice using the command line.
Run Kubernetes commands on your local machine
Running Kubernetes commands locally will help you practice what you learn in the course and gain a better understanding of how Kubernetes works.
Browse courses on Kubernetes
Show steps
  • Open your terminal and enter the following command: docker run -it --rm k8s.gcr.io/k3s/k3s:v1.23.1-k3s1
  • This will start a Kubernetes cluster on your local machine.
  • You can now use the kubectl command to manage your cluster.
Follow a tutorial on how to deploy a serverless function on the edge
Following a tutorial on how to deploy a serverless function on the edge will help you get started with serverless computing and edge computing.
Browse courses on Kubernetes
Show steps
  • Find a tutorial on how to deploy a serverless function on the edge.
  • Follow the steps in the tutorial.
  • Deploy your serverless function on the edge.
  • Test your serverless function.
Four other activities
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Create a study guide for the course
Creating a study guide will help you organize your notes and prepare for exams.
Show steps
  • Go through the course materials.
  • Identify the key concepts.
  • Create a study guide that includes the key concepts.
Write a blog post or article about your experience with K3s
Writing a blog post or article will help you solidify your understanding of K3s and edge computing.
Browse courses on Kubernetes
Show steps
  • Start by outlining your blog post or article.
  • Write a draft of your blog post or article.
  • Edit and proofread your blog post or article.
  • Publish your blog post or article.
Participate in a hackathon or coding challenge related to Kubernetes or edge computing
Participating in a hackathon or coding challenge will give you a chance to apply your skills and knowledge in a real-world setting.
Browse courses on Kubernetes
Show steps
  • Find a hackathon or coding challenge that is relevant to your interests.
  • Register for the hackathon or coding challenge.
  • Prepare for the hackathon or coding challenge by practicing your skills and learning about the relevant technologies.
  • Attend the hackathon or coding challenge.
  • Work on your project during the hackathon or coding challenge.
  • Submit your project to the hackathon or coding challenge.
Contribute to an open-source project related to Kubernetes or edge computing
Contributing to an open-source project is a great way to learn about the technology and get involved in the community.
Browse courses on Kubernetes
Show steps
  • Find an open-source project that is related to Kubernetes or edge computing.
  • Create an issue or pull request on the project.
  • Work on your contribution.
  • Submit your contribution to the project.

Career center

Learners who complete Introduction to Kubernetes on Edge with K3s will develop knowledge and skills that may be useful to these careers:
Kubernetes Administrator
Kubernetes Administrators oversee the deployment, management, and maintenance of Kubernetes clusters. They ensure that clusters are running smoothly and efficiently, and that applications are deployed and scaled according to business needs. This course provides a solid foundation in Kubernetes concepts and practices, and will help you develop the skills needed to be successful in this role. You will learn how to deploy and manage Kubernetes clusters, how to deploy and scale applications, and how to troubleshoot and resolve issues. By taking this course, you will gain the knowledge and skills needed to become a successful Kubernetes Administrator.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with clients to understand their business needs and develop solutions that meet those needs. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Cloud Architect.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They help to automate and streamline the software development process, and ensure that applications are deployed and managed efficiently. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful DevOps Engineer.
Site Reliability Engineer
Site Reliability Engineers ensure that websites and applications are up and running 24/7. They work to identify and resolve issues before they impact users, and they help to improve the reliability and performance of systems. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Site Reliability Engineer.
Data Scientist
Data Scientists use data to solve business problems. They work with data to identify trends, patterns, and insights that can be used to make better decisions. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Data Scientist.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with clients to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Software Engineer.
Systems Administrator
Systems Administrators manage and maintain computer systems. They work to ensure that systems are up and running smoothly, and that data is safe and secure. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Systems Administrator.
Network Engineer
Network Engineers design, build, and maintain computer networks. They work to ensure that networks are reliable and secure, and that data is transmitted efficiently. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Network Engineer.
Database Administrator
Database Administrators manage and maintain databases. They work to ensure that databases are up and running smoothly, and that data is safe and secure. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Database Administrator.
Security Analyst
Security Analysts identify and resolve security threats. They work to protect networks and systems from unauthorized access, and to investigate and respond to security incidents. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Security Analyst.
Cloud Security Engineer
Cloud Security Engineers design and implement security measures for cloud computing environments. They work to protect cloud resources from unauthorized access, and to ensure that data is safe and secure. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Cloud Security Engineer.
Data Architect
Data Architects design and manage data systems. They work with clients to understand their data needs and develop solutions that meet those needs. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Data Architect.
Business Analyst
Business Analysts work with clients to understand their business needs and develop solutions that meet those needs. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Business Analyst.
Project Manager
Project Managers plan and execute projects. They work with teams to ensure that projects are completed on time, within budget, and to the required quality standards. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Project Manager.
Technical Writer
Technical Writers create and maintain technical documentation. They work with engineers and other technical experts to translate technical information into clear and concise language. This course provides a solid foundation in Kubernetes and edge computing, and will help you develop the skills needed to be successful in this role. You will learn about the different use cases for Kubernetes at the edge, and how to deploy and manage Kubernetes clusters in edge environments. By taking this course, you will gain the knowledge and skills needed to become a successful Technical Writer.

Reading list

We've selected seven 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 Introduction to Kubernetes on Edge with K3s.
Provides a comprehensive overview of Kubernetes, including its architecture, components, and how to use it to manage containerized applications. It good resource for anyone who wants to learn more about Kubernetes or use it in their own projects.
Provides a hands-on introduction to Kubernetes, including how to install, configure, and manage a Kubernetes cluster. It good resource for anyone who wants to learn more about Kubernetes or use it in their own projects.
Provides a deep dive into the design of data-intensive applications, including how to choose the right data structures and algorithms, and how to scale and manage data-intensive applications in production. It valuable resource for anyone who wants to learn more about the design and implementation of data-intensive applications.
Provides a comprehensive overview of computer networks, including their design, implementation, and use. It good resource for anyone who wants to learn more about the fundamentals of computer networks.
Provides a comprehensive overview of the Linux programming interface, including how to use it to develop system-level applications. It good resource for anyone who wants to learn more about the Linux operating system or how to develop system-level applications for it.
Provides a comprehensive overview of the Rust programming language, including its syntax, semantics, and how to use it to develop safe and efficient applications. It good resource for anyone who wants to learn more about the Rust programming language or use it in their own projects.
Provides a comprehensive overview of Kubernetes operators. It covers topics such as architecture, development, and best practices.

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