Introduction to Service Mesh with Linkerd (LFS143x)

Course code: LFS143x

Learn the basics of service mesh and get hands-on practical experience with Linkerd, the open source, open governance, ultralight service mesh for Kubernetes hosted by CNCF, including transparent mTLS, golden metrics, traffic shifting, and multi-cluster communication.

Once you’ve completed this course, you will understand what a service mesh is, what it is good for, and how it relates to the rest of the cloud native ecosystem. You’ll understand how to use Linkerd to deliver on the service mesh value propositions of security, reliability, and observability to Kubernetes applications. Finally, you’ll have the practical knowledge that you need to confidently run Linkerd in a production environment.

After completing this course, you will be able to use the Linkerd CLI and UI to deploy and operate Linkerd, as well as to secure, observe, and add reliability to your Kubernetes applications.

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 70 days

Language: en

Price without VAT: 0 EUR

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Target group

This course is designed for site reliability engineers, DevOps professionals, cluster administrators, and developers who want to learn more about service mesh and Linkerd. Before enrolling, students should understand the core Kubernetes resource types and be comfortable reading and writing YAML. In addition, students should know how to work in a Linux terminal environment and run a Kubernetes cluster on their computer or in the cloud. It is also useful to be familiar with building container images and running them in Kubernetes using kubectl.

Course structure

Chapter 1. What Is a Service Mesh?

Chapter 2. Linkerd and the Service Mesh Ecosystem

Chapter 3. Linkerd Architecture

Chapter 4. The Data Plane Starring Linkerd2-proxy

Chapter 5. The Linkerd Control Plane

Chapter 6. Linkerd Extensions

Chapter 7. Deploying Linkerd to a Kubernetes Cluster

Chapter 8. Getting “Golden Metrics” for Your Applications

Chapter 9. Using Service Profiles for Per-Route Metrics

Chapter 10. Retries and Timeouts

Chapter 11. Securing Your Application Communication with mTLS

Chapter 12. Canary and Blue-Green Deployments

Chapter 13. Using Linkerd in Production

Chapter 14. Course Summary and Next Steps?

Final Exam

Prerequisites

Before taking this course, you should be familiar with:

  • Kubernetes resource types
    • Service, Deployment, Pod, DaemonSet, etc.
  • Kubernetes
    • Running cluster on the computer and in the cloud, building container images and running them using kubectl
  • YAML
    • Reading and writing YAML
  • Linux terminal environment

The recommended configuration of a development environment for the course is the following:

  • Any operating system
  • 2 cores/CPUs
  • At least 2GB of memory to run software like kind, K3S or Minikube

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