- Kubernetes大小:3MBBook Description Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you’ll know everything you need to know to go from intermediate to advanced level.Book Description Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you’ll know everything you need to know to go from intermediate to advanced level.5 747浏览会员免费
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- Chapter 1, Introduction to DevOps, walks you through the evolution from the past to what we call DevOps today and the tools that you should know. Demand for people with DevOps skills has been growing rapidly over the last few years. It has accelerated software development and delivery speed and has also helped business agility. Chapter 2, DevOps with Container, helps you learn the fundamentals and container orchestration. With the trend of microservices, container has been a handy and essential tool for every DevOps because of its language agnostic isolation. Chapter 3, Getting Started with Kubernetes, explores the key components and API objects in Kubernetes and how to deploy and manage containers in a Kubernetes cluster. Kubernetes eases the pain of container orchestration with a lot of killer features, such as container scaling, mounting storage systems, and service discovery. Chapter 4, Working with Storage and Resources, describes volume management and also explains CPU and memory management in Kubernetes. Container storage management can be hard in a cluster. Chapter 5, Network and Security, explains how to allow inbound connection to access Kubernetes services and how default networking works in Kubernetes. External access to our services is necessary for business needs. Chapter 6, Monitoring and Logging, shows you how to monitor a resource's usage at application, container, and node level using Prometheus. This chapter also shows how to collect logs from your applications, as well as Kubernetes with Elasticsearch, Fluentd, and Kibana stack. Ensuring a service is up and healthy is one of the major responsibilities of DevOps. Chapter 7, Continuous Delivery, explains how to build a Continuous Delivery pipeline with GitHub/DockerHub/TravisCI. It also explains how to manage updates, eliminate the potential impact when doing rolling updates, and prevent possible failure. Continuous Delivery is an approach to speed up your time-to-market. Chapter 8, Cluster Administration, describes how to solve the preceding problems with the Kubernetes namespace and ResourceQuota and how to do access control in Kubernetes. Setting up administrative boundaries and access control to Kubernetes cluster are crucial to DevOps. Chapter 9, Kubernetes on AWS, explains AWS components and shows how to provision Kubernetes on AWS. AWS is the most popular public cloud. It brings the infrastructure agility and flexibility to our world. Chapter 10, Kubernetes on GCP, helps you understand the difference between GCP and AWS, and the benefit of running containerized applications in hosted service from Kubernetes’ perspective. Google Container Engine in GCP is a managed environment for Kubernetes. Chapter 11, What’s Next?, introduces other similar technologies, such as Docker Swarm mode, Amazon ECS, and Apache Mesos and you’ll have an understanding of which the best approach is for your business. Kubernetes is open. This chapter will teach you how to get in touch with Kubernetes community to learn ideas from others.0 193浏览会员免费
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- Master the art of container management with Kubernetes and study robust container orchestration to ensure that your container-based applications sail into production without hiccups Before plunging into how Kubernetes works, this book introduces you to the world of container orchestration and describes the recent changes in application development. You’ll understand problems that Kubernetes solves and get to grips with using Kubernetes resources to deploy applications. In addition to this, you’ll learn to apply the security model of Kubernetes clusters. Kubernetes Design Patterns and Extensions describes how services running in Kubernetes can leverage the platform’s security features. Once you’ve grasped all this, you’ll explore how to troubleshoot Kubernetes clusters and debug Kubernetes applications. You also discover how to analyze the networking model and its alternatives in Kubernetes, and apply best practices with design patterns. By the end of this book, you’ll have studied all about using the power of Kubernetes for managing your containers.0 228浏览会员免费
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- 天翼云从业者认证 一、单选题 1、天翼云中,创建弹性云主机可以选择不同的计费方式,以便用户适用不同的场景,其中按需付费的计费周期是 A. 月B. 小时C. 分钟D 天 2、镜像是一个包含了软件及必要配置的云主机模版,至少包含下面什么? A. 云端软件 B. 数据库软件 C. 操作系统HTTP D. 私有软件 3 弹性云主机属于天翼云弹性计算服务,在创建ECS时,可以开启自动恢复功能,在弹性云主机所在硬件出现故障时,自动迁移至正常物理机进行重启,这种方式称之为()。 A. 冷迁移B. 容灾 C 双活D. 备份 4、在天翼云中可以通过弹性负载均衡部署高可用来提高服务的容错性,下面关于这种高可用优势的描述中,不正确的是 A. 图形化界面进行管理 B. 实现更高水平的应用程序容错性能 C. 扩展应用系统对外的服务能力 D. 开通周期长 5、天翼云CDN节点缓存系统采用几级架构,内存级性能最优,但容量最小、价格昂贵且易失? A. 四 B. 二 C. 一 D. 三 6、天翼云ACS采用三层架构设计,不包括下面哪一层? A.应用协调层 B.通用平台层 C.基础设施层 D.能力开放层 7、0 999浏览会员免费
- This bookon Kubernetes,the container cluster manager, discusses all aspects of using Kubernetes in today's 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, the book 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. No other book on using Kubernetes -beyond simple introduction-is available in the market., What You Will LearnHow to install Kubernetes on a single nodeHow to install Kubernetes on a multi-node clusterHow to set environment variablesHow to create a multi-container pods using DockerHow to use volumesHow to use Kubernetes with Apache Hadoop EcosystemHow to use Kubernetes with NoSQL DatabasesHow to use Kubernetes with RDBMSWho This Book Is ForApplication Developers including Apache Hadoop Developers, Database developers and NoSQL Developers.0 130浏览会员免费
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- kubernetes大小:5MBMaster the art of container management utilizing the power of Kubernetes. About This Book This practical guide demystifies Kubernetes and ensures that your clusters are always available, scalable, and up to date Discover new features such as autoscaling, rolling updates, resource quotas, and cluster size Master the skills of designing and deploying large clusters on various cloud platforms Who This Book Is For The book is for system administrators and developers who have intermediate level of knowledge with Kubernetes and are now waiting to master its advanced features. You should also have basic networking knowledge. This advanced-level book provides a pathway to master Kubernetes. What You Will Learn Architect a robust Kubernetes cluster for long-time operation Discover the advantages of running Kubernetes on GCE, AWS, Azure, and bare metal See the identity model of Kubernetes and options for cluster federation Monitor and troubleshoot Kubernetes clusters and run a highly available Kubernetes Create and configure custom Kubernetes resources and use third-party resources in your automation workflows Discover the art of running complex stateful applications in your container environment Deliver applications as standard packages In Detail Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you'll know everything you need to know to go from intermediate to advanced level. Style and approach Delving into the design of the Kubernetes platform, the reader will be exposed to the advanced features and best practices of Kubernetes. This book will be an advanced level book which will provide a pathway to master Kubernetes **Master the art of container management utilizing the power of Kubernetes. About This Book This practical guide demystifies Kubernetes and ensures that your clusters are always available, scalable, and up to date Discover new features such as autoscaling, rolling updates, resource quotas, and cluster size Master the skills of designing and deploying large clusters on various cloud platforms Who This Book Is For The book is for system administrators and developers who have intermediate level of knowledge with Kubernetes and are now waiting to master its advanced features. You should also have basic networking knowledge. This advanced-level book provides a pathway to master Kubernetes. What You Will Learn Architect a robust Kubernetes cluster for long-time operation Discover the advantages of running Kubernetes on GCE, AWS, Azure, and bare metal See the identity model of Kubernetes and options for cluster federation Monitor and troubleshoot Kubernetes clusters and run a highly available Kubernetes Create and configure custom Kubernetes resources and use third-party resources in your automation workflows Discover the art of running complex stateful applications in your container environment Deliver applications as standard packages In Detail Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you'll know everything you need to know to go from intermediate to advanced level. Style and approach Delving into the design of the Kubernetes platform, the reader will be exposed to the advanced features and best practices of Kubernetes. 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- Kubernetes 是谷歌开源的容器集群管理系统,是 Google 多年大规模容器管理技术 Borg 的开源版本,也是 CNCF 最重要的项目之一。 Kubernetes 发展非常迅速,已经成为容器编排领域的领导者。Kubernetes的中文资料也非常丰富,但系统化和紧跟社区更 新的则就比较少见了。《Kubernetes 指南》开源电子书旨在整理平时在开发和使用 Kubernetes 时的参考指南和实践总结, 形成一个系统化的参考指南以方便查阅。欢迎大家关注和添加完善内容。0 209浏览会员免费
- Packt.Kubernetes.for.Serverless.Applications.1788620372.PDF Chapter 1, The Serverless Landscape, explains what is meant by serverless. Also, we will get some practical experience of running serverless functions on public clouds using AWS Lambda and Azure Functions. Chapter 2, An Introduction to Kubernetes, discusses what Kubernetes is, what problems it solves, and also takes a look at its backstory, from internal engineering tool at Google to an open source powerhouse. Chapter 3, Installing Kubernetes Locally, explains how to get hands-on experience with Kubernetes. We will install a local single node Kubernetes cluster using Minikube and interact with it using the command-line client. Chapter 4, Introducing Kubeless Functioning, explains how to launch your first serverless function using Kubeless once the Kubernetes is up and running locally. Chapter 5, Using Funktion for Serverless Applications, explains the use of Funktion for a slightly different take on calling serverless functions. Chapter 6, Installing Kubernetes in the Cloud, covers launching a cluster in DigitalOcean, AWS, Google Cloud, and Microsoft Azure after getting some hands-on experience using Kubernetes locally. Chapter 7, Apache OpenWhisk and Kubernetes, explains how to launch, configure, and use Apache OpenWhisk, the serverless platform originally developed by IBM, using our newly launched cloud Kubernetes cluster. Chapter 8, Launching Applications Using Fission, covers the deploying of Fission, the popular serverless framework for Kubernetes, along with a few example functions. Chapter 9, Looking at OpenFaaS, covers OpenFaaS. While it's, first and foremost, a Functions as a Service framework for Docker, it is also possible to deploy it on top of Kubernetes. Chapter 10, Serverless Considerations, discusses security best practices along with how you can monitor your Kubernetes cluster. Chapter 11, Running Serverless Workloads, explains how quickly the Kubernetes ecosystem is evolving and how you can keep up. We also discuss which tools you should use, and why you would want your serverless functions on Kubernetes.0 207浏览会员免费
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