Building Google Cloud Platform Solutions: Develop scalable applications from scratch and make them globally available in almost any language

Building Google Cloud Platform Solutions: Develop scalable applications from scratch and make them globally available in almost any language
Building Google Cloud Platform Solutions: Develop scalable applications from scratch and make them globally available in almost any language
By 作者: Ted Hunter – Steven Porter – Legorie Rajan PS
ISBN-10 书号: 1838647430
ISBN-13 书号: 9781838647438
Release Finelybook 出版日期: 2019-03-26
pages 页数: (778 )

$49.99

Book Description to Finelybook sorting

Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes


Key Features

Explore the various service offerings of the GCP
Host a Python application on Google Compute Engine
Securely maintain application states with Cloud Storage, Datastore, and Bigtable

Book Description to Finelybook sorting

GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud.

You will get started by learning how to use App Engine to access Google’s scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You’ll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you’ll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications.

This Learning Path includes content from the following Packt products:

Google Cloud Platform for Developers Ted Hunter and Steven Porter
Google Cloud Platform Cookbook by Legorie Rajan PS
What you will learn
Host an application using Google Cloud Functions
Migrate a MySQL database to Cloud Spanner
Configure a network for a highly available application on GCP
Learn simple image processing using Storage and Cloud Functions
Automate security checks using Policy Scanner
Deploy and run services on App Engine and Container Engine
Minimize downtime and mitigate issues with Stackdriver Monitoring and Debugger
Integrate with big data solutions, including BigQuery, Dataflow, and Pub/Sub
Who this book is for
This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this Learning Path useful. Basic understanding of GCP and its services is a must.

Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.

contents
1 Why GCP?
2 The Google Cloud Console
3 APIs, CLIs, IAM, and Billing
4 Google App Engine
5 Google Kubernetes Engine
6 Google Cloud Functions
7 Google Compute Engine
8 NoSQL with Datastore and Bigtable
9 Relational Data with Cloud SQL and Cloud Spanner
10 Google Cloud Storage
11 Stackdriver
12 Change Management
13 GCP Networking for Developers
14 Messaging with Pub/Sub and IoT Core
15 Integrating with Big Data Solutions on GCP
16 Compute
17 Storage and Databases
18 Networking
19 Security
20 Machine Learning and Big Data
21 Management Tools
22 Best Practices

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