Training > Cloud & Containers > Introduction to Service Mesh with Linkerd (LFS143)
Training Course

Introduction to Service Mesh with Linkerd (LFS143)

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.

Who Is It For

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.
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What You’ll Learn

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.
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What It Prepares You For

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 Outline
Welcome!
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. Deploying Linkerd to a Kubernetes Cluster
Chapter 7. Getting “Golden Metrics” for Your Applications
Chapter 8. Using Service Profiles for Per-Route Metrics
Chapter 9. Retries and Timeouts
Chapter 10. Securing Your Application Communication with mTLS
Chapter 11. Canary and Blue-Green Deployments
Chapter 12. Using Linkerd in Production
Chapter 13. Course Summary and Next Steps?
Final Exam

Learning Path
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