The $5 campaign runs from December 15th 2020 to January 13th 2021.

This is the code repository for Troubleshooting Kubernetes [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

Containers are changing the way applications are developed, deployed, and managed. Consequently, container orchestration has become a critical piece of infrastructure for enterprises on their digital transformation journey. Kubernetes is an open-source container orchestration platform for automating the deployment, scaling, and management of containerized applications. It has become the de-facto standard for container orchestration. This course provides a tour of how to debug issues with the Kubernetes cluster infrastructure and presents a working conceptual model of how clusters operate. You will be addressing common problems faced by developers in cluster management, monitoring, and logging. Subsequently, we examine common issues when creating and deploying apps on Kubernetes. By the end of the course, you'll have gained full control of your Kubernetes infrastructure and will be able to manage it with ease. Please note a working knowledge of Kubernetes is required for this course.

This course is for sysadmins and developers who would like to implement easy and practical solutions to common issues encountered while using Kubernetes for large-scale container application management. Working knowledge of Kubernetes is assumed; this course explores it in more detail and examines the practical aspects of managing your clusters.

For successful completion of this course, students will require the computer systems with at least the following:
OS: Windows 7+ / MacOS El Capitan / Ubuntu / Debian
Connectivity: Working internet connection is required
Processor: Intel core I5 or equivalent
Memory: 4GB RAM
Storage: 50GB

Software Requirements:
OS: Windows 7+ / MacOS El Capitan / Ubuntu / Debian
Browser: Chrome latest version
Code Editor: Visual Studio Code or VIM
Virtual Machines: Virtualbox - virtualbox.org
Dev Box: Vagrant - vagrantup.com
Kubernetes Local: minikube, kubeadm

Pradipta Banerjee
Pradipta is a Senior Technical Staff Member and Cloud Platform Architect in IBM and leads cloud-native platform initiatives for IBM Systems Labs. He comes with an extensive infrastructure and cloud background and has worked on many first-of-a-kind projects for large enterprise customers across various industries, focusing primarily on virtualization, cloud, and container technologies. Since last few years he has been involved in developing and deploying Kubernetes based solutions for enterprise customers and helping them in their transformation journey.
Pradipta is an IBM Master Inventor with many patents and received the Best of IBM and Outstanding Technical Achievement awards. Connect with Pradipta on: Twitter: @pradipta_kr LinkedIn: https://www.linkedin.com/in/pradipta-banerjee-58459430/

Tomasz Lelek
Tomasz Lelek is a software engineer, programming mostly in Java and Scala. He has been working with the Spark and ML APIs for the past 6 years, with production experience in processing petabytes of data. He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before attempting to solve a problem. Recently, he was also a speaker at conferences in Poland—Confitura, and JDD (Java Developers Day) and at Krakow Scala User Group. He has also conducted a live coding session at the Geecon Conference.

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