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Google Cloud Cookbook

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 so...

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Bibliographic Details
Main Author: Costa, Rui
Other Authors: Hodun, Drew
Format: eBook
Language:Undetermined
Published: [Place of publication not identified] O'Reilly Media, Inc. 2021
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • 5.3. Connecting to Your Windows Virtual Machines with Identity-Aware Proxy TCP Forwarding
  • 5.4. Securing Your Virtual Machine Logins with Two-Step Verification
  • 5.5. Running Startup Scripts
  • 5.6. Creating a Group of NGINX Web Servers with a Managed Instance Group
  • 5.7. Deploying Containers to Managed Instance Groups
  • 5.8. Transferring Files to Your Virtual Machine
  • 5.9. Using VM Manager for Patch Management
  • 5.10. Backing Up Your Virtual Machine
  • 6. Google Cloud Kubernetes Engine
  • 6.1. Creating a Zonal Cluster
  • 6.2. Creating a Regional Cluster
  • 6.3. Resizing a Cluster
  • 6.4. Automatically Routing Traffic to the Nearest Cluster with Multi-Cluster Ingress
  • 6.5. Deploying a Spring Boot Java Application
  • 6.6. Deploying a Java Application to Kubernetes, Using Skaffold
  • 6.7. Using GKE Autopilot for Running an Application You Don't Have to Manage
  • 7. Working with Data
  • 7.1. Speeding Up Cloud Storage Bulk Transfers by Multiprocessing
  • 7.2. Speeding Up GCS Transfers for Large Files with Parallel Composite Uploads
  • 7.3. Mounting GCS as a Filesystem
  • 7.4. Automatically Archiving and Deleting GCS Objects
  • 4. Google App Engine
  • 4.1. Deploying a Hello World to App Engine (Standard)
  • 4.2. Deploying a Hello World to App Engine (Flexible)
  • 4.3. Securing Your Application with Identity-Aware Proxy
  • 4.4. Mapping Custom Domains with App Engine
  • 4.5. Using the Google Cloud Translation Machine Learning APIs with App Engine
  • 4.6. Building User Interfaces for Viewing Charts and Graphs
  • 4.7. Debugging an Instance
  • 4.8. Using CI/CD
  • 5. Google Cloud Compute Engine
  • 5.1. Creating a Windows Virtual Machine
  • 5.2. Creating a Linux Virtual Machine and Installing NGINX
  • Intro
  • Preface
  • Who Should Read This Book
  • Why I Wrote This Book
  • Navigating This Book
  • Conventions Used in This Book
  • Using Code Examples
  • O'Reilly Online Learning
  • How to Contact Us
  • Acknowledgments
  • 1. Introduction
  • 2. Cloud Functions
  • 2.1. Creating a Public HTTP Google Cloud Function
  • 2.2. Authenticating an HTTP Google Cloud Function
  • 2.3. Accessing Environment Variables at Runtime
  • 2.4. Sending Emails from Cloud Functions with SendGrid
  • 2.5. Deploying Cloud Functions with a GitLab CI/CD Pipeline
  • 2.6. Responding to SMS Messages with Twilio and Cloud Functions
  • 2.7. Unit Testing with GitLab and Cloud Functions
  • 2.8. Building an API Gateway to Gather Telemetry Data
  • 3. Google Cloud Run
  • 3.1. Deploying a Prebuilt Hello World Container
  • 3.2. Building Your Own Hello World Container
  • 3.3. Using Cloud Run with a Custom Domain
  • 3.4. Triggering a Cloud Run from Cloud Pub/Sub
  • 3.5. Deploying a Web Application to Cloud Run
  • 3.6. Rolling Back a Cloud Run Service Deployment
  • 3.7. Deploying Cloud Run Services in a Gradual Rollout
  • 3.8. Cloud Run Configuration Parameters

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