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Maintaining, Monitoring and Troubleshooting Kubernetes

This course will teach you to maintain, monitor and troubleshoot production Kubernetes clusters.

Intermediate
2h 14m
(82)

Created by Anthony Nocentino

Last Updated Feb 21, 2023

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  • Course

Maintaining, Monitoring and Troubleshooting Kubernetes

This course will teach you to maintain, monitor and troubleshoot production Kubernetes clusters.

Intermediate
2h 14m
(82)

Created by Anthony Nocentino

Last Updated Feb 21, 2023

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What you'll learn

Troubleshooting production in Kubernetes clusters can be difficult. In this course, Maintaining, Monitoring and Troubleshooting Kubernetes, you’ll learn to maintain, monitor, and troubleshoot Kubernetes Clusters. First, you’ll learn core cluster maintenance tasks such as etcd backup and restore operations, upgrading an existing Kubernetes Cluster, and facilitating for Worker Node maintenance and high availability cluster topologies. Next, you’ll discover how to quickly find and analyze performance monitoring and logging data in your cluster. Finally, you’ll explore core tools and techniques for troubleshooting your cluster. When you’re finished with this course, you’ll have the skills and knowledge of maintaining, monitoring, and troubleshooting needed to operate and manage Kubernetes Clusters. This course can also help you prepare for your Certified Kubernetes Administrator (CKA) certification.

Maintaining, Monitoring and Troubleshooting Kubernetes
Intermediate
2h 14m
(82)
Table of contents

About the author
Anthony Nocentino - Pluralsight course - Maintaining, Monitoring and Troubleshooting Kubernetes
Anthony Nocentino
29 courses 4.7 author rating 2180 ratings

Anthony is a Principal Field Solution Architect at Pure Storage as well as a Pluralsight Author, a Microsoft Data Platform MVP, Linux Expert, and Corporate Problem Solver. Anthony designs solutions, deploys the technology, and provides expertise on business system performance, architecture, and security. Anthony has a Bachelors and Masters in Computer Science with research publications in high performance/low latency data access algorithms and spatial database systems.

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