Mastering Kubernetes

Gigi Sayfan

• Verlag: Packt Publishing
• Jahr: 2017
• ISBN:
  9781786469854
• Auflage: 1
• Thema: Computer Science
• Thema: System Administration

Master the art of container management utilizing the power of Kubernetes.About This Book• This practical guide demystifies Kubernetes and ensures that your clusters are always available, scalable, and up to date• Discover new features such as autoscaling, rolling updates, resource quotas, and cluster size• Master the skills of designing and deploying large clusters on various cloud platforms Who This Book Is ForThe book is for system administrators and developers who have intermediate level of knowledge with Kubernetes and are now waiting to master its advanced features. You should also have basic networking knowledge. This advanced-level book provides a pathway to master Kubernetes.What You Will Learn• Architect a robust Kubernetes cluster for long-time operation• Discover the advantages of running Kubernetes on GCE, AWS, Azure, and bare metal• See the identity model of Kubernetes and options for cluster federation• Monitor and troubleshoot Kubernetes clusters and run a highly available Kubernetes• Create and configure custom Kubernetes resources and use third-party resources in your automation workflows• Discover the art of running complex stateful applications in your container environment• Deliver applications as standard packagesIn DetailKubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes.This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation.You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows.By the end of this book, you'll know everything you need to know to go from intermediate to advanced level.Style and approachDelving into the design of the Kubernetes platform, the reader will be exposed to the advanced features and best practices of Kubernetes. This book will be an advanced level book which will provide a pathway to master Kubernetes

Mastering Kubernetes

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Table of Contents

Mastering Kubernetes

Credits

About the Author

About the Reviewer

www.PacktPub.com

eBooks, discount offers, and more

Why subscribe?

Customer Feedback

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the color images of this book

Errata

Piracy

Questions

1. Understanding Kubernetes Architecture

Understanding container orchestration

Physical machines, virtual machines, and containers

Containers in the cloud

Cattle versus pets

Kubernetes concepts

Cluster

Node

Master

Pod

Label

Annotation

Label selector

Replication controller and replica set

Service

Volume

StatefulSet

Secret

Name

Namespace

Diving into Kubernetes architecture in depth

Distributed systems design patterns

Sidecar pattern

Ambassador pattern

Adapter pattern

Multi-node patterns

The Kubernetes APIs

Kubernetes API

Autoscaling API

Batch API

Kubernetes components

Master components

API server

Etcd

Controller manager

Scheduler

DNS

Node components

Proxy

Kubelet

Kubernetes runtimes

The runtime interface

Docker

Rkt

App container

Rktnetes

Is rkt ready for production usage?

Hyper containers

Hypernetes

Continuous integration and deployment

What is a CI/CD pipeline?

Designing a CI/CD pipeline for Kubernetes

Summary

2. Creating Kubernetes Clusters

Quick single-node cluster with Minikube

Getting ready

Creating the cluster

Troubleshooting

Checking out the cluster

Doing work

Examining the cluster with the dashboard

Creating a multi-node cluster using kubeadm

Getting ready

Preparing a cluster of vagrant VMs

Installing the required software

The hosts file

The vars.yml file

The playbook.yml file

Creating the cluster

Initializing the master

Setting up the pod network

Adding the worker nodes

Creating clusters in the cloud (GCP, AWS, Azure)

The cloud-provider interface

GCP

AWS

Azure

Creating a bare-metal cluster from scratch

Use cases for bare-metal

When should you consider creating a bare-metal cluster?

The process

Using virtual private cloud infrastructure

Summary

3. Monitoring, Logging, and Troubleshooting

Monitoring Kubernetes with Heapster

cAdvisor

InfluxDB backend

The storage schema

CPU

Filesystem

Memory

Network

Uptime

Grafana visualization

Performance analysis with the dashboard

Top-level view

Admin view

Workloads

Services and discovery

Adding central logging

Planning central logging

Fluentd

Elasticsearch

Kibana

Detecting node problems

Node problem detector

DaemonSet

Problem Daemons

Troubleshooting scenarios

Designing robust systems

Hardware failure

Quotas, shares, and limits

Bad configuration

Cost versus performance

Managing cost on the cloud

Managing cost on bare metal

Managing cost on hybrid clusters

Summary

4. High Availability and Reliability

High-availability concepts

Redundancy

Hot swapping

Leader election

Smart load balancing

Idempotency

Self-healing

High-availability best practices

Creating highly available clusters

Making your nodes reliable

Protecting your cluster state

Clustering etcd

Static discovery

Etcd discovery

DNS discovery

The etcd.yaml file

Verifying the etcd cluster

etcd 2 versus etcd 3

Protecting your data

Running redundant API servers

Running leader election with Kubernetes

Leader election for your application

Making your staging environment highly available

Testing high-availability

Live cluster upgrades

Rolling upgrades

Complex deployments

Blue-green upgrades

Managing data-contract changes

Migrating data

Deprecating APIs

Large-cluster performance, cost, and design trade-offs

Availability requirements

Best effort

Maintenance windows

Quick recovery

Zero-downtime

Performance and data consistency

Summary

5. Configuring Kubernetes Security, Limits, and Accounts

Understanding Kubernetes security challenges

Node challenges

Network challenges

Image challenges

Configuration and deployment challenges

Pod and container challenges

Organisational, cultural, and process challenges

Hardening Kubernetes

Understanding service accounts in Kubernetes

How does Kubernetes manage service accounts?

Accessing the API server

Authenticating users

Authorizing requests

Using admission control plugins

Securing pods

Using a private image repository

ImagePullSecrets

Specifying a security context

Protecting your cluster with AppArmor

Requirements

Securing a pod with AppArmor

Writing AppArmor profiles

Pod security policies

Managing network policies

Choosing a supported networking solution

Defining a network policy

Using secrets

Storing secrets in Kubernetes

Creating secrets

Decoding secrets

Using secrets in a container

Running a multi-user cluster

The case for a multi-user cluster

Using namespaces for safe multi-tenancy

Avoiding namespace pitfalls

Summary

6. Using Critical Kubernetes Resources

Designing the Hue platform

Defining the scope of Hue

Hue components

User profile

User graph

Identity

Authorizer

External service

Generic sensor

Generic actuator

User learner

Hue microservices

Plugins

Data stores

Stateless microservices

Queue-based interactions

Planning workflows

Automatic workflows

Human workfl...