Book Image

Cloud Analytics with Google Cloud Platform

By : Sanket Thodge
Book Image

Cloud Analytics with Google Cloud Platform

By: Sanket Thodge

Overview of this book

With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation
Table of Contents (16 chapters)
Title Page
Packt Upsell
Foreword
Contributors
Preface
Index

Google App Engine


Google App Engine was developed as a PaaS for apps and to provide a mobile backend, with the feature of scalability in mind. It is used in cloud computing platforms for developing and hosting web applications. We have two different environments to host a web application: Flexible Environment and Standard Environment. Depending on the features and advantages available for both, any of them can be adopted.

Characteristics of flexible and standard environments

 The following are the features of a flexible environment and a standard environment:

Feature

Flexible environment

Standard environment

Maximum request timeout

60 minutes

60 seconds

Instance startup time

Minutes

Seconds

Background threads

Yes

Yes, but with restrictions

Background processes

Yes

No

Scaling

Manual, automatic

Manual, basic

Writing to local disk

Yes

No

Modifying the runtime

Yes

No

Network access

Yes

Only via App Engine services

Supports installing third-party binaries

Yes

No

Pricing

 

Based on vCPU and memory

Based on instance hours

 

The application...