使用 gcp-docs 工具下载Google Cloud Platform文档为PDF格式

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资源摘要信息:"Google Cloud Platform(GCP)文档下载工具gcp-docs是一个命令行界面(CLI)工具,旨在帮助用户下载Google Cloud Platform的官方文档,并以PDF格式保存。用户可以通过npm(Node.js的包管理器)进行安装,使用gcp-docs这个命令行工具下载指定产品的文档。在安装过程中,用户可能需要使用到npm link命令来确保本地安装的包在命令行中可用。gcp-docs支持多种编程语言的示例代码,用户可以根据需要选择不同的编程语言,如C#、Go、Java、Node.js、PHP、Python等。" 详细知识点: 1. Google Cloud Platform (GCP): Google Cloud Platform是Google提供的云服务组合,为开发者、企业提供了构建、部署和运行应用程序的全面基础设施。GCP包括各种计算、数据存储、数据处理和机器学习服务。它允许用户快速构建应用程序并利用Google的全球基础架构。 2. CLI (命令行界面): CLI是一个用户与计算机之间的交互接口,允许用户通过命令行来执行操作。它是早期计算机操作的基本方式,并且在现代计算机系统中仍然被广泛使用。CLI通常比图形用户界面(GUI)更灵活,尤其适合进行批量操作和自动化任务。 3. npm (Node Package Manager): npm是与Node.js一起使用的包管理器。它是一个包管理系统,可以让开发者安装和管理软件包,这些软件包可以是代码库、库文件或其他软件工具。通过npm,开发者可以轻松地发布自己的代码包供他人使用,也可以从npm仓库中搜索、安装他人开发的包。 4. gcp-docs: gcp-docs是一个基于npm的CLI工具,用于下载GCP的官方文档。它让用户能够将GCP文档以PDF格式下载到本地,便于开发者离线阅读和参考。 5. 操作步骤:使用gcp-docs下载文档通常包括以下几个步骤: - 安装gcp-docs工具:通过npm安装gcp-docs,可能需要使用npm link命令来将本地安装的包链接到系统的全局路径。 - 运行gcp-docs工具:通过命令行运行gcp-docs命令,开始下载过程。 - 输入产品名称:提示用户输入想要下载文档的GCP产品名称,如pubsub。 - 输入子产品名称(可选):如果GCP产品有子产品,此处可以输入。 - 输入保存路径:提示用户输入本地保存PDF文件的路径。 - 选择示例代码语言:根据需要选择希望文档中包含的示例代码的编程语言。 6. 文档语言支持:gcp-docs支持多种编程语言的示例代码。这意味着用户可以根据自己的技术栈选择合适的编程语言来查看文档中的示例代码,以提高开发效率。 7. 压缩包子文件列表:该列表中的“gcp-docs-master”指的是gcp-docs工具的源代码压缩包,可能是在获取最新版本或进行源代码分析时使用的。 综上所述,gcp-docs是一个实用的工具,能够让用户以一种便捷的方式获取和使用Google Cloud Platform的文档资源。通过掌握其安装和使用方法,开发者可以更有效地利用GCP提供的服务和技术支持,进而提高项目的开发效率和质量。
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Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective Key Features Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform Make intelligent choices about which cloud technology works best for your use-case Leverage Google Cloud Platform to analyze and optimize technical and business processes Book Description Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design. What you will learn Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring, logging, and diagnostic tools in Stackdriver Who This Book Is For If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise architects will also find this book useful. A basic understanding of distributed applications would be helpful, although not strictly necessary. Some working experience on other public cloud platforms would help too. Table of Contents The Case for Cloud Computing Introduction to GCP Compute Choices: VMs and the GCE GKE, AppEngine and Cloud Functions Google Cloud Storage: Fishing in a Bucket Relational Database NoSQL Databases BigQuery Identity and Access Management Managed Hadoop With Dataproc Load Balancing Networking in GCP Logging and Monitoring Infrastructure Automation Security on the GCP Pricing Considerations Effective Use of the GCP