Practical solutions to common issues faced while deploying, managing, and operating your Kubernetes clusters.
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.
All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Troubleshooting-Kubernetes
About the Author
Pradipta Kumar Banerjee
Pradipta is a Senior Technical Staff Member for the IBM Cloud Private platform and leads cloud-native platform initiatives for IBM Power Microprocessor. 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. Pradipta is an IBM Master Inventor with many patents and received the Best of IBM and Outstanding
Technical Achievement awards.
Connect with Pradipta on:
Tomasz Lelek is a Software Engineer and DevOps. He has been working as a software engineer with key operational management duties for tens of microservices infrastructures for 6 years leveraging Kubernetes from the beginning (2014) and Docker for over 6 years. In addition, he has worked in the cloud ecosystem with hundreds of deployments automated using Kubernetes. Moreover, his expertise encompasses implementing the automation of rolling deployments of services that had zero downtime during their new release. He has created several courses about automation using Kubernetes (all courses are available at https://github.com/tomekl007/Packt_Publishing_courses_by_Tomasz_Lelek).
He has conducted multiple conferences and presented on topics including Java and JVM-related technologies.
- Working knowledge of Kubernetes is assumed
- Plan, operate and manage a Kubernetes cluster in production
- Troubleshoot cluster issues
- Select the correct resources in Kubernetes to serve your infrastructure goals
- Manage application deployments on Kubernetes clusters
- Configure cluster-wide logging
- Monitor and set up alerts for cluster health and determine if any action is required
- Best practices for working with Kubernetes
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