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Titlebook: Kubernetes Microservices with Docker; Deepak Vohra Book 2016 Deepak Vohra 2016 Kubernetes.microservices.Docker.containers.Linux.clustering

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發(fā)表于 2025-3-21 19:20:47 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Kubernetes Microservices with Docker
編輯Deepak Vohra
視頻videohttp://file.papertrans.cn/541/540810/540810.mp4
概述No other book on using Kubernetes - beyond a simple introduction - is available in the market.Includes coverage of Docker containers.Includes using Kubernetes with Apache Hadoop Ecosystem.Includes RDB
圖書封面Titlebook: Kubernetes Microservices with Docker;  Deepak Vohra Book 2016 Deepak Vohra 2016 Kubernetes.microservices.Docker.containers.Linux.clustering
描述Start using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes.?.Next, .Kubernetes Microservices with Docker. discusses using Kubernetes with all major groups of technologies such as relational databases, NoSQL databases, and in the Apache Hadoop ecosystem..The book concludes with using multi container pods and installing Kubernetes on a multi node cluster.?."a concise but clear introduction to containers, Docker and Kubernetes, using simple real-world examples to pass on the core concepts, via repetition, and is a very useful enabler." .10/10.Dave Hay MBCS CITP: review for?BCS, The Chartered Institute for IT (http://www.bcs.org/content/conWebDoc/58512).What You Will Learn.Install Kubernetes on a single node.Set environment variables.Create multi-container pods using Docker.Use volumes.Use Kubernetes with the Apache Hadoop ecosystem, NoSQL databases, and RDBMSs.Install Kubernetes on a multi-node cluster.Who This Book Is For.Application developers including Apache Hadoop develope
出版日期Book 2016
關(guān)鍵詞Kubernetes; microservices; Docker; containers; Linux; clustering; big data
版次1
doihttps://doi.org/10.1007/978-1-4842-1907-2
isbn_softcover978-1-4842-1906-5
isbn_ebook978-1-4842-1907-2
copyrightDeepak Vohra 2016
The information of publication is updating

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Using Apache Kafkads & writes from multiple clients. Messages are replicated across the cluster and persisted to disk. Kafka could be used for stream processing, web site activity tracking, metrics collection, and monitoring and log aggregation.
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Using MongoDB DatabaseMongoDB is based on the BSON (binary JSON) storage model. Documents are stored in collections. Being a schema-free data store, no two documents need to be alike in terms of the fields in a BSON document. In a large scale cluster several instances of MongoDB could be running and the following issues could arise.
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