The DevOps 2.5 Toolkit
Author | : Viktor Farcic |
Publisher | : Packt Publishing Ltd |
Total Pages | : 314 |
Release | : 2019-11-28 |
ISBN-10 | : 9781838642631 |
ISBN-13 | : 1838642633 |
Rating | : 4/5 (633 Downloads) |
Download or read book The DevOps 2.5 Toolkit written by Viktor Farcic and published by Packt Publishing Ltd. This book was released on 2019-11-28 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 FeaturesThe 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-adaptiveDiscusses how to customise and create dashboards and alertsBook 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 learnAutoscaling Deployments and Statefulsets based on resource usageAutoscaling nodes of a Kubernetes clusterDebugging issues discovered through metrics and alertsExtending HorizontalPodAutoscaler with custom metricsVisualizing metrics and alertsCollecting and querying logsWho this book is for Readers with an advanced-level understanding of Kubernetes and hands-on experience.