Kubernetes is the de-facto system for container orchestration, e.g. automating the deployment, scaling and management of microservices-based, containerized applications. And as Kubernetes is becoming the most widely used platform for deploying applications, it is of paramount importance to know how to address problems that may occur in these systems. This course will present from the generic methodologies applicable in the troubleshooting to the domain specific instructions that will address the various aspects of Kubernetes and the deployed applications. This training builds on the knowledge gained by students on one of our Kubernetes administration trainings and teaches advanced topics about Kubernetes networking and troubleshooting practices for them. The first part of the training deals with the different types of networking resources that facilitates the connectivity for containers, the Container Network Interface (CNI) as well as CNI plugins. In the second part of this training participants learn about a wide range of IT troubleshooting concepts and technics starting with the generic methodologies applicable in troubleshooting to the domain specific instructions that will address the various aspects of Kubernetes clusters and applications deployed in them. Besides in-depth theoretical coverage, students also do hands-on exercises in their own Kubernetes lab system throughout the training.
Linux container (e.g. Docker) and Kubernetes admin. skills, for instance by participating on our Docker and Kubernetes administration courses.
5 Days/Lecture & Lab
System administrators, developers and devops who participated on one of our Kubernetes administration trainings or have a Certified Kubernetes Administrator (CKA) certification and want to learn more about Kubernetes networking as well as general IT systems troubleshooting technics and their implementation at Kubernetes clusters.
- Network connectivity for containers
- CNI - Container network interface
- CNI plugins
- Services deep dive
- Troubleshooting methodology and tools
- Kubernetes architecture
- Handling workload errors
- Troubleshooting the Networking
- Storage issues