Kubernetes Resource Management
Kubernetes Resource Management
How it works What to do
About the Book
Over the last couple of years Kubernetes has arguably become the most popular infrastructure platform with a rapidly growing ecosystem.
This practical guide shows you how how to optimize the configuration of your Kubernetes cluster so that they run your workloads as efficiently as possible.
About the Authors
Table of Contents
-
1 Intro
- 1.1 How does Kubernetes work?
- 1.2 The Challenge
-
2 Frequently Asked Questions
- 2.1 What is a Completely Fair Scheduler?
- 2.2 What is a cgroup?
- 2.3 Who uses the Pod’s Resource Requests Setting?
- 2.4 Do Resource Requests only Affect the Kubernetes Scheduler?
- 2.5 Is there a General Difference between CPU and Memory?
- 2.6 How do we Limit Container Memory?
- 2.7 How do we Limit Container CPU?
- 2.8 What is Overprovisioning?
- 2.9 What is Overcommitment?
- 2.10 How to Notice High Load?
- 2.11 How to Respond to High Load?
- 2.12 What is a Horizontal Pod Autoscaler?
- 2.13 What is a Vertical Pod Autoscaler?
- 2.14 What is a Cluster Autoscaler?
- 2.15 What is a Cluster Proportional Autoscaler?
- 2.16 Are Container Secure?
- 2.17 What is a RuntimeClass?
- 2.18 What is a Probe?
- 2.19 What is a Pod Disruption Budget?
-
3 Kubernetes Probes
- 3.1 Phase and State of a Pod
- 3.2 Readiness Probe
- 3.3 Liveness Probe
- 3.4 Startup Probe
-
4 Recipes
- 4.1 Avoid Receiving Traffic while Shutdown
- 4.2 Scenario Spring Boot/JVM Applications
- 4.3 Different Type of Workloads
- 4.4 Planning your Cluster
- 4.5 Deployment Recipes
- 4.6 Cluster Sizing Recipes
- 4.7 Cluster Segmentation
- 4.8 Availability Rules
- 4.9 Node Type Rules
- 4.10 Pod Priorities
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