The service mesh is an increasingly critical component of the cloud native ecosystem, with the
Kubernetes ecosystem especially using service mesh projects to add reliability, security, and
observability to applications.
This course has hands-on labs. These sections will teach you how 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.
Finally, you'll become familiar with the open source community and ecosystem around Linkerd
and how you can become not just a Linkerd user but a Linkerd contributor!
To be successful, you should understand the core Kubernetes resource types (Service,
Deployment, Pod, DaemonSet, etc.) and be comfortable reading and writing YAML.
In addition, you should also be comfortable working in a Linux terminal environment and with
running a Kubernetes cluster on your computer or in the cloud.
It is also useful to be familiar with building container images and running them in Kubernetes.
using kubectl.
Linkerd
The service mesh is an increasingly critical component of the cloud native ecosystem, with the Kubernetes ecosystem especially using service mesh projects to add reliability, security, and observability to applications.
This course has hands-on labs. These sections will teach you how 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.
Finally, you'll become familiar with the open source community and ecosystem around Linkerd and how you can become not just a Linkerd user but a Linkerd contributor!
To be successful, you should understand the core Kubernetes resource types (Service, Deployment, Pod, DaemonSet, etc.) and be comfortable reading and writing YAML. In addition, you should also be comfortable working in a Linux terminal environment and with running a Kubernetes cluster on your computer or in the cloud. It is also useful to be familiar with building container images and running them in Kubernetes. using kubectl.