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Beginning Kubernetes on the Google C...

Garbarino, Ernesto.

Beginning Kubernetes on the Google Cloud Platforma guide to automating application deployment, scaling, and management /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Beginning Kubernetes on the Google Cloud Platformby Ernesto Garbarino.
其他題名:	a guide to automating application deployment, scaling, and management /
作者:	Garbarino, Ernesto.
出版者:	Berkeley, CA :Apress :2019.
面頁冊數:	xi, 324 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Cloud computing.
電子資源:	https://doi.org/10.1007/978-1-4842-5491-2
ISBN:	9781484254912$q(electronic bk.)

Beginning Kubernetes on the Google Cloud Platforma guide to automating application deployment, scaling, and management /
Garbarino, Ernesto.

Beginning Kubernetes on the Google Cloud Platforma guide to automating application deployment, scaling, and management /[electronic resource] :by Ernesto Garbarino. - Berkeley, CA :Apress :2019. - xi, 324 p. :ill., digital ;24 cm.

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

00 credit to get started, which makes it the ideal platform to not only learn Kubernetes but also to implement final production workloads. You will: 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.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 standard in container orchestration and adopted by Microsoft (Azure PKS) and Amazon (AWS EKS) in the public cloud, and RedHat (OpenShift) and Pivotal (PKS) in the private cloud. 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

ISBN: 9781484254912$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-5491-2doiSubjects--Topical Terms:

378527
Cloud computing.

LC Class. No.: QA76.585 / .G37 2019

Dewey Class. No.: 004.6782

Beginning Kubernetes on the Google Cloud Platforma guide to automating application deployment, scaling, and management /
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520 $a 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 standard in container orchestration and adopted by Microsoft (Azure PKS) and Amazon (AWS EKS) in the public cloud, and RedHat (OpenShift) and Pivotal (PKS) in the private cloud. 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 $3 00 credit to get started, which makes it the ideal platform to not only learn Kubernetes but also to implement final production workloads. You will: 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.
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