This Kubernetes CKA Advanced training takes a deeper look at the design, management, and control of a Kubernetes cluster landscape:
The training is based on working examples, which are executed as much as possible by the participants themselves.
The training is very suitable for Kubernetes Administrators and Engineers who are interested in how to deal with business issues at the enterprise level:
By learning generic Kubernetes for Self-Hosting you are taught skills and understanding of Kubernetes that a participant can easely self reapply, or translate to: other kubernetes platforms, or managed hosting. Were the platforms are Openshift, Tanzu, Rancer, and Managed-Hosting is hosting on CKE, AKS and EKS.
The hands-on learning of Kubernetes at Expert Level, using examples that are working and are realistic for a companies daily it practise, on bare metal (self-hosting).
The number of topics available in the training as choice modules is more than can be covered during the training. For each training, the trainer decides in consultation with the group which topics will be covered in the training. Sometimes this can mean that the group decides on day 2:
1. to work with different components;
2. or to continue less hands-on, so that more material can be covered on a higher level.
The choice of modules goes into depth on Administration Expert parts, by means of exercises that are in line with the daily practice of working with Kubernetes, using working examples.
Having several years of experience as an engineer and being able to read code are qualities that make that someone has more insight into what is happening and keeps a better overview of what is going on in the training. A lot of work is done with the command-line (shell) and a variety of programming languages and containers pass by in exercises such as: Go, NodeJs, Angular, JAVA, Ubuntu, Debian.
Minimum dexterity/basic knowledge of linux command-line (Bash, Linux commands), Private Keys and Public Keys are required to follow the pace of this training.
The training is mainly meant for:
The level of entry is: experienced with the Kubernetes Fundamentals.
