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دانلود کتاب Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services

دانلود کتاب Google Cloud Cookbook: راه حل های عملی برای ایجاد و استقرار خدمات ابری

Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services

مشخصات کتاب

Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services

ویرایش: [1 ed.] 
نویسندگان:   
سری:  
ISBN (شابک) : 1492092894, 9781492092896 
ناشر: O'Reilly Media 
سال نشر: 2021 
تعداد صفحات: 294
[392] 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 8 Mb 

قیمت کتاب (تومان) : 66,000



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توجه داشته باشید کتاب Google Cloud Cookbook: راه حل های عملی برای ایجاد و استقرار خدمات ابری نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی در مورد کتاب Google Cloud Cookbook: راه حل های عملی برای ایجاد و استقرار خدمات ابری



تجربه عملی سریع با Google Cloud داشته باشید. این کتاب آشپزی انواع دستور العمل های مستقلی را ارائه می دهد که به شما نشان می دهد چگونه از خدمات Google Cloud برای برنامه سازمانی خود استفاده کنید. چه به دنبال راه‌های عملی برای استفاده از میکروسرویس‌ها، هوش مصنوعی، تجزیه و تحلیل، امنیت یا راه‌حل‌های شبکه باشید، این دستور العمل‌ها شما را گام به گام در این فرآیند راهنمایی می‌کنند و بحث‌هایی را ارائه می‌دهند که توضیح می‌دهند چگونه و چرا دستور العمل‌ها کار می‌کنند.

این کتاب آشپزی برای مهندسان و مدیران سیستم، توسعه دهندگان، مدیران شبکه و پایگاه داده و تحلیلگران داده ایده آل است، این کتاب آشپزی به شما کمک می کند صرف نظر از سطح تجربه خود، با Google Cloud شروع کنید. Rui Costa و Drew Hodun کهنه‌کاران Google همچنین خدمات سطح پیشرفته Google Cloud را برای کسانی که تجربه قابل‌توجهی با این پلتفرم دارند پوشش می‌دهند.

  • با نحوه شروع کار با Google Cloud آشنا شوید
  • درک عمق خدمات ارائه شده توسط Google Cloud
  • با استفاده از مثال‌های عملی و آزمایشگاه‌ها تجربه عملی به دست آورید
  • موضوعاتی را که شامل BigQuery، Cloud Run، و Kubernetes می‌شود کاوش کنید
  • ساخت و اجرای برنامه های کاربردی موبایل و وب در Google Cloud
  • روش های ساخت برنامه های کاربردی ابری خود را برای مقیاس بررسی کنید
  • یک برنامه حداقل محصول قابل دوام (MVP) بسازید تا در تولید استفاده کنید
  • آموزش پلت فرم داده و مهارت های خط لوله

توضیحاتی درمورد کتاب به خارجی

Get quick hands-on experience with Google Cloud. This cookbook provides a variety of self-contained recipes that show you how to use Google Cloud services for your enterprise application. Whether you're looking for practical ways to apply microservices, AI, analytics, security, or networking solutions, these recipes take you step-by-step through the process and provide discussions that explain how and why the recipes work.

Ideal for system engineers and administrators, developers, network and database administrators, and data analysts, this cookbook helps you get started with Google Cloud regardless of your level of experience. Google veterans Rui Costa and Drew Hodun also cover advanced-level Google Cloud services for those who have appreciable experience with the platform.

  • Learn how to get started with Google Cloud
  • Understand the depth of services Google Cloud provides
  • Gain hands-on experience using practical examples and labs
  • Explore topics that include BigQuery, Cloud Run, and Kubernetes
  • Build and run mobile and web applications on Google Cloud
  • Examine ways to build your cloud applications for scale
  • Build a minimum viable product (MVP) app to use in production
  • Learn data platform and pipeline skills


فهرست مطالب

Copyright
Table of Contents
Preface
	Who Should Read This Book
	Why I Wrote This Book
		Rui Costa
		Drew Hodun
	Navigating This Book
		Chapter 1, “Introduction”
		Chapter 2, “Cloud Functions”
		Chapter 3, “Google Cloud Run”
		Chapter 4, “Google App Engine”
		Chapter 5, “Google Cloud Compute Engine”
		Chapter 6, “Google Cloud Kubernetes Engine”
		Chapter 7, “Working with Data”
		Chapter 8, “BigQuery and Data Warehousing”
		Chapter 9, “Data Processing Tools”
		Chapter 10, “AI/ML”
		Chapter 11, “Google Cloud Security and Access”
		Chapter 12, “Google Cloud Networking”
	Conventions Used in This Book
	Using Code Examples
	O’Reilly Online Learning
	How to Contact Us
	Acknowledgments
		Rui Costa
		Drew Hodun
Chapter 1. Introduction
	Overview
		Projects
		Cloud Console
		gCloud Command-Line Tool
		Other gcloud Tools
		Cloud Shell
		Client Libraries
		Billing
		Pricing
		Cloud Code (IDE Extensions)
		Moving from Another Cloud
		This Cookbook
Chapter 2. Cloud Functions
	2.1 Creating a Public HTTP Google Cloud Function
		Problem
		Solution
		Discussion
	2.2 Authenticating an HTTP Google Cloud Function
		Problem
		Solution
		Discussion
	2.3 Accessing Environment Variables at Runtime
		Problem
		Solution
		Discussion
	2.4 Sending Emails from Cloud Functions with SendGrid
		Problem
		Solution
		Discussion
	2.5 Deploying Cloud Functions with a GitLab CI/CD Pipeline
		Problem
		Solution
		Discussion
	2.6 Responding to SMS Messages with Twilio and Cloud Functions
		Problem
		Solution
		Discussion
	2.7 Unit Testing with GitLab and Cloud Functions
		Problem
		Solution
		Discussion
	2.8 Building an API Gateway to Gather Telemetry Data
		Problem
		Solution
		Discussion
Chapter 3. Google Cloud Run
	3.1 Deploying a Prebuilt Hello World Container
		Problem
		Solution
		Discussion
	3.2 Building Your Own Hello World Container
		Problem
		Solution
		Discussion
	3.3 Using Cloud Run with a Custom Domain
		Problem
		Solution
		Discussion
	3.4 Triggering a Cloud Run from Cloud Pub/Sub
		Problem
		Solution
		Discussion
	3.5 Deploying a Web Application to Cloud Run
		Problem
		Solution
		Discussion
	3.6 Rolling Back a Cloud Run Service Deployment
		Problem
		Solution
		Discussion
	3.7 Deploying Cloud Run Services in a Gradual Rollout
		Problem
		Solution
		Discussion
	3.8 Cloud Run Configuration Parameters
		Problem
		Solution
Chapter 4. Google App Engine
	4.1 Deploying a Hello World to App Engine (Standard)
		Problem
		Solution
		Discussion
	4.2 Deploying a Hello World to App Engine (Flexible)
		Problem
		Solution
		Discussion
	4.3 Securing Your Application with Identity-Aware Proxy
		Problem
		Solution
		Discussion
	4.4 Mapping Custom Domains with App Engine
		Problem
		Solution
		Discussion
	4.5 Using the Google Cloud Translation Machine Learning APIs with App Engine
		Problem
		Solution
		Discussion
	4.6 Building User Interfaces for Viewing Charts and Graphs
		Problem
		Solution
		Discussion
	4.7 Debugging an Instance
		Problem
		Solution
		Discussion
	4.8 Using CI/CD
		Problem
		Solution
		Discussion
Chapter 5. Google Cloud Compute Engine
	5.1 Creating a Windows Virtual Machine
		Problem
		Solution
		Discussion
	5.2 Creating a Linux Virtual Machine and Installing NGINX
		Problem
		Solution
		Discussion
	5.3 Connecting to Your Windows Virtual Machines with Identity-Aware Proxy TCP Forwarding
		Problem
		Solution
		Discussion
	5.4 Securing Your Virtual Machine Logins with Two-Step Verification
		Problem
		Solution
		Discussion
	5.5 Running Startup Scripts
		Problem
		Solution
		Discussion
	5.6 Creating a Group of NGINX Web Servers with a Managed Instance Group
		Problem
		Solution
		Discussion
	5.7 Deploying Containers to Managed Instance Groups
		Problem
		Solution
		Discussion
	5.8 Transferring Files to Your Virtual Machine
		Problem
		Solution
		Discussion
	5.9 Using VM Manager for Patch Management
		Problem
		Solution
		Discussion
	5.10 Backing Up Your Virtual Machine
		Problem
		Solution
		Discussion
Chapter 6. Google Cloud Kubernetes Engine
	6.1 Creating a Zonal Cluster
		Problem
		Solution
		Prerequisites
		Discussion
	6.2 Creating a Regional Cluster
		Problem
		Solution
		Discussion
	6.3 Resizing a Cluster
		Problem
		Solution
		Prerequisites
		Discussion
	6.4 Automatically Routing Traffic to the Nearest Cluster with Multi-Cluster Ingress
		Problem
		Solution
		Prerequisites
		Discussion
	6.5 Deploying a Spring Boot Java Application
		Problem
		Solution
		Discussion
	6.6 Deploying a Java Application to Kubernetes, Using Skaffold
		Problem
		Solution
		Discussion
	6.7 Using GKE Autopilot for Running an Application You Don’t Have to Manage
		Problem
		Solution
		Discussion
Chapter 7. Working with Data
	7.1 Speeding Up Cloud Storage Bulk Transfers by Multiprocessing
		Problem
		Solution
		Discussion
	7.2 Speeding Up GCS Transfers for Large Files with Parallel Composite Uploads
		Problem
		Solution
		Discussion
	7.3 Mounting GCS as a Filesystem
		Problem
		Solution
		Discussion
	7.4 Automatically Archiving and Deleting GCS Objects
		Problem
		Solution
		Discussion
	7.5 Creating and Restoring from Persistent Disk Snapshots in GCE
		Problem
		Solution
		Discussion
	7.6 Using Interleaved Tables in Your Cloud Spanner Database
		Problem
		Solution
		Discussion
	7.7 Locking Down Firestore Database So a User Can Edit Only Their Data
		Problem
		Solution
		Discussion
Chapter 8. BigQuery and Data Warehousing
	8.1 Using Cloud Console to Run a BigQuery Query
		Problem
		Solution
		Discussion
	8.2 Loading Data to BigQuery from CSV
		Problem
		Solution
		Discussion
	8.3 Building a Pivot Table in BigQuery
		Problem
		Solution
		Discussion
	8.4 Adding Partitioned and Clustered Columns to an Existing Table
		Problem
		Solution
		Discussion
	8.5 Adding Clustering to a Table That Can’t or Shouldn’t Be Partitioned
		Problem
		Solution
		Discussion
	8.6 Selecting the Top-1 Result
		Problem
		Solution
		Discussion
	8.7 Merging Tables in BigQuery Without Duplicates
		Problem
		Solution
		Discussion
	8.8 Deduplicating Rows in BigQuery with Timestamps
		Problem
		Solution
		Discussion
	8.9 Undeleting a Table in BigQuery
		Problem
		Solution
		Discussion
	8.10 Streaming JSON or Avro Data into BigQuery with a Dataflow Template
		Problem
		Solution
		Discussion
Chapter 9. Data Processing Tools
	9.1 Cleaning Data Using the Data Fusion GUI
		Problem
		Solution
		Discussion
	9.2 Running a Simple Python Dataflow Pipeline
		Problem
		Solution
		Discussion
	9.3 Building a Streaming Pipeline in Dataflow SQL
		Problem
		Solution
		Discussion
	9.4 Querying BigQuery from a Dataproc Job
		Problem
		Solution
		Discussion
	9.5 Adding Event Timestamps to Pub/Sub
		Problem
		Solution
		Discussion
	9.6 Inferring and Using Schemas in Dataflow
		Problem
		Solution
		Discussion
	9.7 Mini-batching and Streaming Dataflow Data to BigQuery Using Filters
		Problem
		Solution
		Discussion
	9.8 Triggering a Dataflow Job Automatically from a GCS Upload
		Problem
		Solution
		Discussion
Chapter 10. AI/ML
	10.1 Creating a Vertex AI Notebook
		Problem
		Solution
		Discussion
	10.2 Training a Python ML Model Serverlessly
		Problem
		Solution
		Discussion
	10.3 Making Serverless Predictions with a Python Model
		Problem
		Solution
		Discussion
	10.4 Creating a Custom Notebook Environment
		Problem
		Solution
		Discussion
	10.5 Extracting Data from BigQuery to Pandas for Model Training
		Problem
		Solution
		Discussion
	10.6 Training a Model in SQL with BQML
		Problem
		Solution
		Discussion
Chapter 11. Google Cloud Security and Access
	11.1 Creating a Service Account
		Problem
		Solution
		Discussion
	11.2 Creating Custom Roles to Access a Cloud Storage Bucket
		Problem
		Solution
		Discussion
	11.3 Authenticating an Application Running on Kubernetes Engine
		Problem
		Solution
		Prerequisites
		Discussion
	11.4 Retrieving the Authenticated User’s Identity
		Problem
		Solution
		Discussion
	11.5 Authenticating a Java Application Using a Service Account
		Problem
		Solution
		Discussion
	11.6 Building Reports Using the Cloud Asset API
		Problem
		Solution
		Discussion
	11.7 Allowing a List of IP Addresses to Access Your Application
		Problem
		Solution
		Discussion
Chapter 12. Google Cloud Networking
	12.1 Creating a Custom Mode VPC Network
		Problem
		Solution
		Discussion
	12.2 Creating a Static External IP Address
		Problem
		Solution
		Discussion
	12.3 Create a Firewall Rule
		Problem
		Solution
		Discussion
	12.4 Serving Content for Users in a Specific Region
		Problem
		Solution
		Discussion
	12.5 Configuring VPC Network Peering
		Problem
		Solution
		Discussion
	12.6 Creating VPN Gateways with Cloud Routers
		Problem
		Solution
		Discussion
	12.7 Deployments of Networks Using Terraform
		Problem
		Solution
		Discussion
	12.8 Limiting Access to Only Authorized Networks with VPC Service Controls
		Problem
		Solution
		Discussion
Index
About the Authors




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