Beginning Kubernetes on the Google Cloud Platform: A Guide to Automating Application Deployment,Scaling,and Management


Beginning Kubernetes on the Google Cloud Platform: A Guide to Automating Application Deployment,Scaling,and Management
Authors: Ernesto Garbarino
ISBN-10 书号: 1484254902
ISBN-13 书号: 9781484254905
Edition 版本: 1st ed.
Publisher Finelybook 出版日期: 2019-11-29
pages 页数: 324 pages


Book Description
Use this beginner’s guide to understand and work with Kubernetes on the Google Cloud Platform and go from single monolithic Pods (the smallest unit deployed and managed by Kubernetes) all the way up to distributed,fault-tolerant stateful backing stores.
You need only a familiarity with Linux,Bash,and Python to successfully use this book. Proficiency in Docker or cloud technology is not required. You will follow a learn-by-doing approach,running small experiments and observing the effects.
Google open sourced Kubernetes in 2015 and now it is the industry standard in container orchestration. It has been adopted by all leading vendors of cloud,on-prem,and hybrid infrastructure services: Microsoft (Azure AKS),Amazon (AWS EKS),IBM (IBM Cloud Kubernetes Services),Alibaba Cloud (ACK),RedHat (OpenShift),and Pivotal (PKS). Even though Kubernetes is offered by all of the market-leading cloud providers,the Google Cloud Platform (GCP) offers an integrated shell (Google Cloud Shell) and a $300 credit to get started,which makes it the ideal platform to not only learn Kubernetes but also to implement final production workloads.

What you will learn
Set up a Kubernetes cluster in GCP
Deploy simple Docker images using monolithic Pods
Arrange highly available and highly scalable applications using Deployments
Achieve zero-downtime deployments using the Service controller
Externalize configuration using ConfigMaps and Secrets
Set up batch processes and recurrent tasks using Jobs and CronJobs
Install horizontal (sidecar pattern) services using DaemonSets
Implement distributed,stateful backing stores using StatefulSets

1.Introduction
2.Pods
3.Deployments and Scaling
4.Service Discovery
5.ConfigMap and Secrets
6.Jobs
7.Cronlobs
8.DaemonSets
9.StatefulSets

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