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Google Cloud for Developers

Google Cloud for Developers

By : Hector Parra Martinez, Isaac Hernández Vargas
5 (7)
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Google Cloud for Developers

Google Cloud for Developers

5 (7)
By: Hector Parra Martinez, Isaac Hernández Vargas

Overview of this book

As more organizations embrace cloud computing, developers new to the cloud often feel overwhelmed by cloud migration and code running directly on the cloud. Google Cloud for Developers comes packed with practical tips and expert advice to accelerate your application development journey and help you unlock the full potential of cloud computing. You’ll begin by understanding and comparing all the available options to run your code. You’ll write, deploy, monitor, and troubleshoot your code without leaving the Google Cloud IDE while selecting the best option – serverless or GKE containers – for each use case. After that, you’ll get to grips with the basic Google Cloud infrastructure services and connect your code with public APIs. This will help you add features to your application, such as language translation and object detection in images or videos. Furthermore, you’ll explore a comprehensive list of tips and best practices to make your migration smooth. You’ll also gain the necessary knowledge to write code from scratch, by employing the basics of hybrid cloud applications and build services that can run virtually anywhere. By the end of this book, you’ll be well equipped to carry out the application development process and successfully move your code to Google Cloud.
Table of Contents (20 chapters)
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1
Part 1: Foundations of Developing for Google Cloud
5
Part 2: Basic Google Cloud Services for Developers
10
Part 3: Extending Your Code – Using Google Cloud Services and Public APIs
14
Part 4: Connecting the Dots –Building Hybrid Cloud Solutions That Can Run Anywhere

Extending Applications with Google Cloud Machine Learning APIs

The previous chapter covered Google Services that we can use as building blocks for our applications and services to make our development faster. Another way of achieving this purpose is using public APIs to integrate advanced services, providing features that we wouldn’t be able to develop otherwise due to limitations in our budget, time, or even our knowledge and skills.

Google Cloud provides some remarkably interesting machine learning models that have been trained with huge amounts of data and can help us convert our unstructured data into structured data, a topic we will cover at the beginning of this chapter.

These models can be easily integrated into our code using their corresponding Application Programming Interface (API) and will add useful features to our applications, such as audio-to-text conversion, text translation, or insight extraction from text, images, or videos.

If you are interested...

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Google Cloud for Developers
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