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.
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.
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.
The overall content is very easy to understand, and the examples are very interesting.
Easy to understand, following the course and taking breaks was seamless.
This course provided useful pointers that were important when considering production deployments.
I feel well prepared to start using Linkerd. The course is detailed but not overwhelming, and I was able to finish it in a satisfying amount of time.
Before taking this course, you should be familiar with:
The hands-on exercises have also been tested on Mac OS and Windows 10 operating systems.
For hands-on lab exercises, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Lab exercises in this course have been tested in a GCP environment.
If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider.
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Should your enquiry be urgent, please mail us at info@meritglobaltraining.com or call us +971 50 205 6399 / +91 80885 11977 / +1 863-250-1577