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Monitoring and Troubleshooting Azure Kubernetes Service (AKS) Clusters and Workloads

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Duration

33m

level

Intermediate

Course Creator

Anthony Nocentino

Last Updated

30-Jun-21

Azure Kubernetes Services are a platform-as-a-service offering that provides you with a Kubernetes service in the Azure cloud. This course will teach you how to monitor and troubleshoot AKS Clusters.

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Azure Kubernetes Services are a platform-as-a-service offering that provides you with a Kubernetes service in the Azure cloud and just like any other service, to operate it successfully, you need the skills to monitor and troubleshoot them. In this course, Monitoring and Troubleshooting Azure Kubernetes Service (AKS) Clusters and Workloads, you’ll learn to monitor AKS clusters and their workloads as well as how to troubleshoot issues during deployment and operation. First, you’ll explore how to monitor AKS using Azure Monitor. Next, you’ll discover how to use open source tools for additional monitoring and insights. Finally, you’ll learn how to troubleshoot problems with new and existing AKS deployments. When you’re finished with this course, you’ll have the skills and knowledge of Azure Kubernetes Service (AKS) needed to monitor and troubleshoot them.
Author Name: Anthony Nocentino
Author Description:
Anthony is a Senior 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.

Table of Contents

  • Course Overview
    1min
  • Monitoring AKS Clusters
    15mins
  • Troubleshooting AKS Clusters
    16mins

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Monitoring and Troubleshooting Azure Kubernetes Service (AKS) Clusters and Workloads
Monitoring and Troubleshooting Azure Kubernetes Service (AKS) Clusters and Workloads
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