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Mastering Kubernetes

Mastering Kubernetes

By : Gigi Sayfan
3.6 (10)
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Mastering Kubernetes

Mastering Kubernetes

3.6 (10)
By: Gigi Sayfan

Overview of this book

Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters. To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows. To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes.
Table of Contents (16 chapters)
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Monitoring Kubernetes with Heapster

Heapster is a Kubernetes project that provides a robust monitoring solution for Kubernetes clusters. It runs as a pod (of course), so it can be managed by Kubernetes itself. Heapster supports Kubernetes and CoreOS clusters. It has a very modular and flexible design. Heapster collects both operational metrics and events from every node in the cluster, stores them in a persistent backend (with a well-defined schema), and allows visualization and programmatic access. Heapster can be configured to use different backends (or sinks, in Heapster's parlance) and their corresponding visualization frontends. The most common combination is InfluxDB as the backend and Grafana as the frontend. The Google Cloud Platform integrates Heapster with the Google monitoring service. There are many other less common backends, as follows:

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