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Pluralsight

Monitoring and Scaling Applications in Kubernetes

via Pluralsight

Overview

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This course will teach you the advanced concepts of Kubernetes, how to monitor microservices at scale, and introduce an auto-scaling facility as property setting within Kubernetes to manage microservices at scale to enhance the performance.

Organizations these days sit on massive piles of data, hence the data processing applications. In this course, Monitoring and Scaling Applications in Kubernetes, you’ll learn to manage and monitor microservices in the form of docker containers at scale. First, you’ll explore Kubernetes and different types of objects configuration. Next, you’ll discover the monitoring aspects of the Kubernetes Cluster. Finally, you’ll learn how to incorporate auto-scaling features within Kubernetes. When you’re finished with this course, you’ll have the skills and knowledge of Advanced Monitoring Concepts of Kubernetes Cluster needed to scale microservices post certain threshold needs.

Syllabus

  • Course Overview 1min
  • Configuring Kubernetes Objects 22mins
  • Monitoring Kubernetes Pod Resources 22mins
  • Monitoring Kubernetes Cluster Metrics 16mins
  • Implementing Auto-scaling Features 11mins
  • Analyzing Centralized Logging Architecture 7mins

Taught by

Tapan Ghatalia

Reviews

2.2 rating at Pluralsight based on 37 ratings

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