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  • Book Overview & Buying Rancher Deep Dive
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Rancher Deep Dive

Rancher Deep Dive

By : Matthew Mattox
4.4 (7)
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Rancher Deep Dive

Rancher Deep Dive

4.4 (7)
By: Matthew Mattox

Overview of this book

Knowing how to use Rancher enables you to manage multiple clusters and applications without being locked into a vendor’s platform. This book will guide you through Rancher’s capabilities while deepening your understanding of Kubernetes and helping you to take your applications to a new level. The book begins by introducing you to Rancher and Kubernetes, helping you to learn and implement best practices. As you progress through the chapters, you’ll understand the strengths and limitations of Rancher and Kubernetes and discover all the different ways to deploy Rancher. You’ll also find out how to design and deploy Kubernetes clusters to match your requirements. The concluding chapters will show you how to set up a continuous integration and continuous deployment (CI/CD) pipeline for deploying applications into a Rancher cluster, along with covering supporting services such as image registries and Helm charts. By the end of this Kubernetes book, you’ll be able to confidently deploy your mission-critical production workloads on Rancher-managed Kubernetes clusters.
Table of Contents (25 chapters)
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1
Part 1 – Rancher Background and Architecture and Design
4
Part 2 – Installing Rancher
8
Part 3 – Deploying a Kubernetes Cluster
12
Part 4 – Getting Your Cluster Production-Ready
20
Part 5 – Deploying Your Applications

How namespace limits/quotas are calculated

One of the nice things about setting CPU and memory requests/limits for all Pods is that you can define namespace limits and quotas, which allows you to specify the total amount of memory and CPU used by all Pods running in a namespace. This can be very helpful when budgeting resources in your cluster; for example, if application A buys 16 CPUs and 64 GB of RAM for their production environment, you can limit their namespace to make sure they can't consume more than what they have paid for. This, of course, can be done in two modes, with the first being a hard limit that will block all new Pod creation events for that namespace. If we go back to our earlier example, the application team has purchased 64 GB of RAM for our cluster. Suppose you have four Pods, each with a limit of 16 GB of RAM. When they try to start up a fifth Pod, it will be stuck in scheduling until the quota increases or another Pod in the namespace releases the space...

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Rancher Deep Dive
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