Google Cloud Platform for Architects: Design and manage powerful cloud solutions
Vitthal Srinivasan, Janani Ravi, Judy Raj
- 出版商: Packt Publishing
- 出版日期: 2018-06-26
- 售價: $1,980
- 貴賓價: 9.5 折 $1,881
- 語言: 英文
- 頁數: 372
- 裝訂: Paperback
- ISBN: 1788834305
- ISBN-13: 9781788834308
-
相關分類:
Google Cloud
海外代購書籍(需單獨結帳)
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相關主題
商品描述
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
商品描述(中文翻譯)
熟悉GCP並管理強大、高可用性和動態解決方案以推動業務目標。
主要特點:
- 辨識Google Cloud Platform上各個服務的優勢、弱點和理想使用案例
- 智能選擇最適合您使用案例的雲端技術
- 利用Google Cloud Platform分析和優化技術和業務流程
書籍描述:
在十年前,使用公共雲平台被認為是有風險的,甚至在幾年前也是不尋常的。然而,如今使用公共雲已完全成為主流,而不是例外。包括Google在內的幾家領先科技公司已建立了先進的雲平台,並在激烈競爭中爭奪市場份額。
本書的主要目標是讓您充分利用GCP,並自信且熟練地使用它。您將了解為什麼雲架構會呈現目前的形式,這將幫助您成為熟練的高級雲架構師。您還將學習如何配置和使用個別的雲服務,以便在需要自行構建時不感到害怕。您還將學習在何種情況下以及何種方式使用重要的GCP服務。
通過閱讀本書,您將能夠充分利用Google Cloud Platform的設計。
您將學到:
- 設置GCP帳戶並使用雲端shell、Web控制台和客戶端API使用GCP服務
- 利用App Engine、Compute Engine、Kubernetes Engine上的容器和Cloud Functions的功能
- 根據數據需求選擇適合的托管服務,智能地在Datastore、BigTable和BigQuery之間進行選擇
- 使用Dataproc智能地將現有的Hadoop、Spark和Pig工作負載遷移到現有數據基礎設施,以減少干擾
- 利用Stackdriver中的監控、日誌和診斷工具,獲取有關基於雲的應用程序的健康狀況、性能和可用性的洞察
本書適合對設計和管理具有Google Cloud Platform的強大雲解決方案負責的雲架構師。系統工程師和企業架構師也會發現本書有用。對分散式應用程序有基本的理解會有所幫助,但不是必需的。對其他公共雲平台有一些工作經驗也會有所幫助。
目錄:
1. 雲計算的案例
2. GCP簡介
3. 計算選擇:虛擬機和GCE
4. GKE、AppEngine和Cloud Functions
5. Google Cloud Storage:在桶中捕魚
6. 關聯式數據庫
7. NoSQL數據庫
8. BigQuery
9. 身份和訪問管理
10. 使用Dataproc進行管理的Hadoop
11. 負載平衡
12. GCP中的網絡
13. 日誌和監控
14. 基礎設施自動化
15. GCP上的安全性
16. 價格考慮
17. 有效使用GCP