The Kubernetes Bible
The definitive guide to deploying and managing Kubernetes across major cloud platforms
Published on 24. February 2022
Book
Paperback/Softback
680 pages
978-1-83882-769-4 (ISBN)
Description
Get up and running with Kubernetes 1.19 and simplify the way you build, deploy, and maintain scalable distributed systems
Key Features
Design and deploy large clusters on various cloud platforms
Explore containerized application deployment, debugging, and recovery with the latest Kubernetes version 1.19
Become well-versed with advanced Kubernetes topics such as traffic routing or Pod autoscaling and scheduling
Book DescriptionWith its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications.
This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices.
By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.What you will learn
Manage containerized applications with Kubernetes
Understand Kubernetes architecture and the responsibilities of each component
Set up Kubernetes on Amazon Elastic Kubernetes Service, Google Kubernetes Engine, and Microsoft Azure Kubernetes Service
Deploy cloud applications such as Prometheus and Elasticsearch using Helm charts
Discover advanced techniques for Pod scheduling and auto-scaling the cluster
Understand possible approaches to traffic routing in Kubernetes
Who this book is forThis book is for software developers and DevOps engineers looking to understand how to work with Kubernetes for orchestrating containerized applications and services in the cloud. Prior experience with designing software running in operating system containers, as well as a general background in DevOps best practices, will be helpful. Basic knowledge of Kubernetes, Docker, and leading cloud service providers assist with grasping the concepts covered easily.
Key Features
Design and deploy large clusters on various cloud platforms
Explore containerized application deployment, debugging, and recovery with the latest Kubernetes version 1.19
Become well-versed with advanced Kubernetes topics such as traffic routing or Pod autoscaling and scheduling
Book DescriptionWith its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications.
This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices.
By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.What you will learn
Manage containerized applications with Kubernetes
Understand Kubernetes architecture and the responsibilities of each component
Set up Kubernetes on Amazon Elastic Kubernetes Service, Google Kubernetes Engine, and Microsoft Azure Kubernetes Service
Deploy cloud applications such as Prometheus and Elasticsearch using Helm charts
Discover advanced techniques for Pod scheduling and auto-scaling the cluster
Understand possible approaches to traffic routing in Kubernetes
Who this book is forThis book is for software developers and DevOps engineers looking to understand how to work with Kubernetes for orchestrating containerized applications and services in the cloud. Prior experience with designing software running in operating system containers, as well as a general background in DevOps best practices, will be helpful. Basic knowledge of Kubernetes, Docker, and leading cloud service providers assist with grasping the concepts covered easily.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 37 mm
Weight
1248 gr
ISBN-13
978-1-83882-769-4 (9781838827694)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Nassim Kebbani | Piotr Tylenda | Russ McKendrick
The Kubernetes Bible
The definitive guide to deploying and managing Kubernetes across major cloud platforms
E-Book
06/2024
1st Edition
Packt Publishing Limited
from
€29.99
Available for download
Persons
Nassim Kebbani is an experienced software engineer with in-depth expertise in Kubernetes and the Amazon Web Services cloud provider. He has an extensive background both in software development and operations teams, having implemented the entire spectrum of a DevOps life cycle chain, from application code to pipelines, and carried out monitoring in various industries such as e-commerce, media, and financial services.
He has implemented numerous cloud-native architectures and containerized applications on Docker and AWS and holds both Kubernetes CKA and CKAD certifications. Piotr Tylenda is an experienced DevOps and software engineer with a passion for Kubernetes and Azure technologies. In his projects, he has focused on the adoption of microservices architecture for monolithic applications, developing big data pipelines for e-commerce, and architecting solutions for scalable log and telemetry analytics for hardware. His most notable contribution to Kubernetes' open source ecosystem is the development of Ansible automation for provisioning and deploying hybrid Windows/Linux Kubernetes clusters. Currently, he works at Microsoft Development Center Copenhagen in Denmark as part of a team developing a Microsoft Dynamics 365 Business Central SaaS offering. Russ McKendrick is an experienced DevOps practitioner and system administrator with a passion for automation and containers. He has been working in IT and related industries for the better part of 30 years. During his career, he has had responsibilities in many different sectors, including first-line, second-line, and senior support in client-facing and internal teams for small and large organizations.
He works almost exclusively with Linux, using open source systems and tools across dedicated hardware and virtual machines hosted in public and private clouds at Node4, where he holds the title of practice manager (SRE and DevOps). He also buys way too many records!
He has implemented numerous cloud-native architectures and containerized applications on Docker and AWS and holds both Kubernetes CKA and CKAD certifications. Piotr Tylenda is an experienced DevOps and software engineer with a passion for Kubernetes and Azure technologies. In his projects, he has focused on the adoption of microservices architecture for monolithic applications, developing big data pipelines for e-commerce, and architecting solutions for scalable log and telemetry analytics for hardware. His most notable contribution to Kubernetes' open source ecosystem is the development of Ansible automation for provisioning and deploying hybrid Windows/Linux Kubernetes clusters. Currently, he works at Microsoft Development Center Copenhagen in Denmark as part of a team developing a Microsoft Dynamics 365 Business Central SaaS offering. Russ McKendrick is an experienced DevOps practitioner and system administrator with a passion for automation and containers. He has been working in IT and related industries for the better part of 30 years. During his career, he has had responsibilities in many different sectors, including first-line, second-line, and senior support in client-facing and internal teams for small and large organizations.
He works almost exclusively with Linux, using open source systems and tools across dedicated hardware and virtual machines hosted in public and private clouds at Node4, where he holds the title of practice manager (SRE and DevOps). He also buys way too many records!
Content
Table of Contents
Kubernetes Fundamentals
Kubernetes Architecture
Installing your First Kubernetes Cluster
Running Your Docker Containers
Using Multi-Container Pods and Design Patterns
Configuring Your Pods Using ConfigMaps and Secrets
Exposing Your Pods with Services
Managing Namespaces in Kubernetes
Persistent Storage in Kubernetes
Running Production-Grade Kubernetes Workloads
Deployment
StatefulSet
DaemonSet
Kubernetes Clusters on Google Kubernetes Engine
Launching a Kubernetes Cluster on Amazon Web Services with Amazon Elastic Kubernetes Service
Kubernetes Clusters on Microsoft Azure with Azure Kubernetes Service
Working with Helm Charts
Authentication and Authorization on Kubernetes
Advanced Techniques for Scheduling Pods
Autoscaling Kubernetes Pods and Nodes
Advanced Traffic Routing with Ingress
Kubernetes Fundamentals
Kubernetes Architecture
Installing your First Kubernetes Cluster
Running Your Docker Containers
Using Multi-Container Pods and Design Patterns
Configuring Your Pods Using ConfigMaps and Secrets
Exposing Your Pods with Services
Managing Namespaces in Kubernetes
Persistent Storage in Kubernetes
Running Production-Grade Kubernetes Workloads
Deployment
StatefulSet
DaemonSet
Kubernetes Clusters on Google Kubernetes Engine
Launching a Kubernetes Cluster on Amazon Web Services with Amazon Elastic Kubernetes Service
Kubernetes Clusters on Microsoft Azure with Azure Kubernetes Service
Working with Helm Charts
Authentication and Authorization on Kubernetes
Advanced Techniques for Scheduling Pods
Autoscaling Kubernetes Pods and Nodes
Advanced Traffic Routing with Ingress