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از ساعت 7 صبح تا 10 شب
ویرایش: [1 ed.]
نویسندگان: Rui Costa. Drew Hodun
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
در صورت تبدیل فایل کتاب Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
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.
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.
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.
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