The DevOps 2.5 Toolkit (Paperback or Softback)
Farcic, Viktor
Verkauft von BargainBookStores, Grand Rapids, MI, USA
AbeBooks-Verkäufer seit 23. Januar 2002
Neu - Softcover
Zustand: Neu
Anzahl: 5 verfügbar
In den Warenkorb legenVerkauft von BargainBookStores, Grand Rapids, MI, USA
AbeBooks-Verkäufer seit 23. Januar 2002
Zustand: Neu
Anzahl: 5 verfügbar
In den Warenkorb legenThe DevOps 2.5 Toolkit 1.22.
Bestandsnummer des Verkäufers BBS-9781838647513
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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