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The DevOps 2.5 Toolkit : Monitoring, Logging, and Auto-Scaling Kubernetes: Making Resilient, Self-Adaptive, And Autonomous Kubernetes Clusters - Viktor Farcic

The DevOps 2.5 Toolkit

Monitoring, Logging, and Auto-Scaling Kubernetes: Making Resilient, Self-Adaptive, And Autonomous Kubernetes Clusters

By: Viktor Farcic

eBook | 28 November 2019

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An advanced exploration of the skills and knowledge required for operating Kubernetes clusters, with a focus on metrics gathering and alerting, with the goal of making clusters and applications inside them autonomous through self-healing and self-adaptation.

Key Features

  • The sixth book of DevOps expert Viktor Farcic's bestselling DevOps Toolkit series, with an overview of advanced core Kubernetes techniques,-oriented towards monitoring and alerting.
  • Takes a deep dive into monitoring, alerting, logging, auto-scaling, and other subjects aimed at making clusters resilient, self-sufficient, and self-adaptive
  • Discusses how to customise and create dashboards and alerts

Book Description

Building on The DevOps 2.3 Toolkit: Kubernetes, and The DevOps 2.4 Toolkit: Continuous Deployment to Kubernetes, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to monitoring, logging, and autoscaling Kubernetes.

The DevOps 2.5 Toolkit: Monitoring, Logging, and Auto-Scaling Kubernetes: Making Resilient, Self-Adaptive, And Autonomous Kubernetes Clusters is the latest book in Viktor Farcic's series that helps you build a full DevOps Toolkit. This book helps readers develop the necessary skillsets needed to be able to operate Kubernetes clusters, with a focus on metrics gathering and alerting with the goal of making clusters and applications inside them autonomous through self-healing and self-adaptation.

Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Kubernetes.

What you will learn

  • Autoscaling Deployments and Statefulsets based on resource usage
  • Autoscaling nodes of a Kubernetes cluster
  • Debugging issues discovered through metrics and alerts
  • Extending HorizontalPodAutoscaler with custom metrics
  • Visualizing metrics and alerts
  • Collecting and querying logs

Who this book is for

Readers with an advanced-level understanding of Kubernetes and hands-on experience.

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