Titlebook: Beginning Kubernetes on the Google Cloud Platform; A Guide to Automatin Ernesto Garbarino Book 2019 Ernesto Garbarino 2019 Kubernetes.GCP.G

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書目名稱Beginning Kubernetes on the Google Cloud Platform網(wǎng)絡(luò)公開度




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書目名稱Beginning Kubernetes on the Google Cloud Platform被引頻次學(xué)科排名




書目名稱Beginning Kubernetes on the Google Cloud Platform年度引用




書目名稱Beginning Kubernetes on the Google Cloud Platform年度引用學(xué)科排名




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書目名稱Beginning Kubernetes on the Google Cloud Platform讀者反饋學(xué)科排名

和平

枕墊

https://doi.org/10.1007/978-1-4614-6901-8s to run, from simple one-off commands to web servers. Operational aspects such as setting up CPU and RAM constraints and the organization of Pods using labels and annotations will also be also be covered. By the end of the chapter, the reader will be capable of running and interacting with applicat

馬具

減弱不好

Obrain Murire,Liezel Cilliers,Kim Viljoen?key/value store using the StatefulSet controller. By the end of the chapter, the reader will have an appreciation of why cloud native (managed) data stores offer a nearly unbeatable advantage, and the instrumentation mechanisms that the StatefulSet controller offers should the reader choose to roll out their own data store instead.

Insatiable

https://doi.org/10.1007/978-1-4842-5491-2Kubernetes; GCP; Google Cloud Platform; Docker; Containers; Application deployment; Linux; Monolithic pods;

FILTH

ellagic-acid

indubitable

https://doi.org/10.1007/978-3-319-18254-4This chapter helps the reader take Pods to the next level by introducing the Deployment controller which allows the on-demand scaling of Pods and seamless migrations—including blue/green deployments and rollbacks—when upgrading Pod versions. Also, the dynamics of autoscaling are demonstrated using the Horizontal Pod Autoscaler (HPA) controller.

乳汁

https://doi.org/10.1007/978-3-319-18254-4This chapter teaches the reader how to make Pods available on the public Internet as well as within the Kubernetes cluster. In addition, this chapter explains how the Service controller interacts with the Deployment controller to facilitate zero-downtime deployments as well as graceful startup and shutdown of applications.