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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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InfluxDB backend

InfluxDB is a modern and robust distributed time-series database. It is very well-suited and used broadly for centralized metrics and logging. It is also the preferred Heapster backend (outside the Google Cloud Platform). The only thing is InfluxDB clustering; high availability is part of enterprise offering.

The storage schema

The InfluxDB storage schema defines the information that Heapster stores in InfluxDB, and it is available for querying and graphing later. The metrics are divided into multiple categories, named measurements. You can treat and query each metric separately, or you can query a whole category as one measurement and receive the individual metrics as fields. The naming convention is &lt...

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