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派博传思国际中心 »期刊书目

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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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发表于 2025-3-21 17:37:32 | 显示全部楼层 |阅读模式
期刊全称Beginning Kubernetes on the Google Cloud Platform
期刊简称A Guide to Automatin
影响因子2023Ernesto Garbarino
视频video
发行地址Introduces Kubernetes concepts one at a time.Teaches you how to run code and observe effects rather than focusing on theoretical concepts.Provides a hands-on approach to understanding StatefulSets so
图书封面Titlebook: Beginning Kubernetes on the Google Cloud Platform; A Guide to Automatin Ernesto Garbarino Book 2019 Ernesto Garbarino 2019 Kubernetes.GCP.G
影响因子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 anintegrated 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.
Pindex Book 2019
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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
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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.
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发表于 2025-3-22 14:39:33 | 显示全部楼层
https://doi.org/10.1007/978-1-4842-5491-2Kubernetes; GCP; Google Cloud Platform; Docker; Containers; Application deployment; Linux; Monolithic pods;
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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.
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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.
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