The hands-on lab is part of this learning path
Ready for the real environment experience?
Failures are inevitable when running large clusters. This Lab teaches you how to detect, diagnose, and remedy a variety of Kubernetes failures at the network, node, control-plane, and application levels. You will use tools included in Kubernetes, such as kubectl, as well as a variety of Linux operating system tools like systemctl, journalctl, ss, and openssl to build a comprehensive Kubernetes troubleshooting toolkit. In addition to reacting to failures, the Lab points out some ways that you can proactively reduce the chance of failures when working with Kubernetes.
This Lab is valuable to anyone working with Kubernetes, but the content has been prepared considering topics described in the Certified Kubernetes Administrator (CKA) Exam Curriculum. Completion of the Lab will help you get hands-on experience, which is essential for passing the CKA exam.
Upon completion of this Lab, you will be able to:
- Troubleshoot Kubernetes connection failures
- Troubleshoot Kubernetes node failures
- Troubleshoot Kubernetes component failures
- Troubleshoot Kubernetes application failures
You should be familiar with:
- Working with Kubernetes to deploy applications
- Working at the command line in Linux
The following Labs can be used to fulfill the prerequisites: Deploy a Stateless Application in a Kubernetes Cluster and Deploy a Stateful Application in a Kubernetes Cluster.
January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab
About the Author
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.