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Google Compute Engine - Helion

Google Compute Engine
ebook
Autor: Marc Cohen, Kathryn Hurley, Paul Newson
ISBN: 978-14-493-6149-5
stron: 246, Format: ebook
Data wydania: 2014-12-15
Księgarnia: Helion

Cena książki: 84,92 zł (poprzednio: 98,74 zł)
Oszczędzasz: 14% (-13,82 zł)

Dodaj do koszyka Google Compute Engine

Learn how to run large-scale, data-intensive workloads with Compute Engine, Google’s cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end. You’ll learn best practices for using Compute Engine, with a focus on solving practical problems.

With programming examples written in Python and JavaScript, you’ll also learn how to use Compute Engine with Docker containers and other platforms, frameworks, tools, and services. Discover how this IaaS helps you gain unparalleled performance and scalability with Google’s advanced storage and computing technologies.

  • Access and manage Compute Engine resources with a web UI, command-line interface, or RESTful interface
  • Configure, customize, and work with Linux VM instances
  • Explore storage options: persistent disk, Cloud Storage, Cloud SQL (MySQL in the cloud), or Cloud Datastore NoSQL service
  • Use multiple private networks, and multiple instances on each network
  • Build, deploy, and test a simple but comprehensive cloud computing application step-by-step
  • Use Compute Engine with Docker, Node.js, ZeroMQ, Web Starter Kit, AngularJS, WebSocket, and D3.js

Dodaj do koszyka Google Compute Engine

 

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Dodaj do koszyka Google Compute Engine

Spis treści

Google Compute Engine eBook -- spis treści

  • Preface
    • Contents of This Book
      • What Each Chapter Covers
    • Conventions Used in This Book
    • Using Code Examples
    • Safari Books Online
    • How to Contact Us
    • Acknowledgments
  • 1. Getting Started
    • Creating a Compute Engine Project
      • Enabling Billing
      • Adding Team Members
    • Compute Engine Resources
      • Manage Compute Engine Resources
        • Google Developers Console
          • VM Instances
          • Zones
          • Operations
          • Quotas
        • Cloud SDK
          • Install on Linux / Mac
          • Install on Windows
          • Authorize
          • Set the project ID
          • Use gcloud compute
        • Compute Engine API
          • Authorization
          • Google API libraries
          • My first Compute Engine application
    • Summary
    • Up Next
  • 2. Instances
    • Creating an Instance Using the Developers Console
    • Accessing an Instance Using the Developers Console
    • Deleting an Instance Using the Developers Console
    • Creating an Instance Using gcloud
      • Instance Attributes
        • States
        • Machine types
        • Images
        • Regions and zones
        • Service account scopes
          • External IP address
          • Metadata
          • Tags
    • Accessing an Instance Using gcloud
    • Deleting an Instance Using gcloud
    • Creating an Instance Programmatically
    • Creating an Instance Using a Service Account
    • Selecting an Access Mode
    • Cleaning Up
    • Summary
    • Up Next
  • 3. Storage: Persistent Disk
    • Compute Engine Storage Options at a Glance
    • Persistent Disk
      • Persistent Disk Performance
      • Create a Persistent Disk Using Developers Console
      • Create a Persistent Disk Using gcloud
        • One-step creation
        • Two-step creation
      • Attaching/Detaching a PD to/from a Running VM
      • Create a Persistent Disk Programmatically
      • Persistent Disk Snapshots
    • Summary
    • Up Next
  • 4. Storage: Cloud Storage
    • Understanding BLOB Storage
    • Getting Started
    • Introducing gsutil
    • Using Cloud Storage from Your Code
    • Configuring Access Control
    • Understanding ACLs
    • Using Default Object ACLs
    • Understanding Object Immutability
    • Understanding Strong Consistency
    • Summary
    • Up Next
  • 5. Storage: Cloud SQL and Cloud Datastore
    • Cloud SQL
      • Getting Started
      • Creating Databases and Tables
      • Running SQL Queries
    • Cloud Datastore
      • Getting Started
      • Creating and Viewing Entities via the Developers Console
      • Creating and Retrieving Entities Programmatically from a VM
    • Bring Your Own Database
    • Summary
    • Up Next
  • 6. Networking
    • A Short Networking Primer
      • Network Addresses and Routing
      • Transport Control Protocol (TCP)
      • The Domain Name System (DNS)
      • Hypertext Transfer Protocol (HTTP)
      • Load Balancing
      • Firewalls
    • Default Networking
    • Configuring Firewall Rules
    • Configuring Load Balancing
    • Reserving External IP Addresses
    • Configuring Networks
    • Understanding Networking Costs
    • Understanding Routing
    • Selecting an Access Mode
    • Summary
    • Up Next
  • 7. Advanced Topics
    • Startup Scripts
      • gcloud compute
      • Literal-Value Approach
      • Local-File Approach
      • Cloud-Storage Approach
      • Publicly Available Approach
      • API Approach
    • Custom Images
      • Creating a Custom Image
      • Using a Custom Image
        • gcloud compute
        • API
    • Metadata
      • Metadata Server
      • Metadata Entries
      • Project Metadata
      • Instance Metadata
      • Data Formats
      • Default Versus Custom
      • Project-Level Custom Metadata
        • Developers Console
        • gcloud compute
        • API
          • Retrieve
          • Set/update
      • Instance-Level Custom Metadata
        • gcloud compute
        • Updating instance-level, custom metadata
        • API
          • Retrieve
          • Set
          • Update
      • wait_for_change URL parameter
    • Summary
    • Up Next
  • 8. A Complete Application
    • Application Concept
      • Requirements
    • Application Information Flow
    • Building Our App Step by Step
      • Step 0: Create Your Development VM and Clone the Sample App
      • Step 1: Create a Docker image for your app
      • Step 2: Build the UI framework
      • Step 3: Build the user interface
      • Step 4: Implement the master
      • Step 5: Implement the slave
      • Step 6: Add our visualization
      • Step 7: Deploy a cluster into production
    • Conclusion
  • Index

Dodaj do koszyka Google Compute Engine

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