This document provides an overview of Google App Engine, a platform as a service offering from Google. It discusses how App Engine offers automatic scaling, high performance, security and reliability for web and mobile applications. It also summarizes the programming languages supported, including Java, Python, Go, and others. Additionally, it outlines how App Engine can integrate with other Google Cloud services like Compute Engine, Cloud Storage, BigQuery, Cloud SQL and Cloud Datastore.

1. Esmaill Hasanzadeh Spring 2018 Zahra Momeni
Instructor: Dr. Sadegh Dorri
Cloud Computing Course, Tarbiat Modares University

2. Google App Engine
• Platform as a Service (PaaS)
• Utilizes google's global infrastructure
• Supports:
 Web applications
 Mobile applications
 games

3. Google App Engine
• Offers complete server side management
• Automatically scales to unlimited user
• Auto-scaling:
 Instances added as needed
 Databases shared on demand
 Bandwidth expanded when necessary

4. Google App Engine
• Great performance
• Tight security with fully sandboxed apps
• Extremely reliable

5. Google App Engine Languages
• Java
• Python
• Go
• PHP (Preview)
• .Net
• Ruby
• Node Js

6. App Engine Language Support
• Specific features for each language
• Common elements:
 local development environment to simulate App Engine
 Authentication and email APIs for Google Accounts
 Ability to schedule “cron” jobs at specified time
 Runs in a sandbox

7. App Engine Sandbox
• Isolates app from underlying OS
• Benefits:
 Protect OS (and other apps)
 Allows distribution of web requests to other servers
 Can start/stop servers as needed

8. Google cloud sdk
• Supports Linux, Mac, and Windows
• Requires python 2.7
• Google Plugin for IDEs(Eclipse & Jet Brains) :
 Create
 Test
 upload

9. App Engine Costs
• No start-up costs
• Initial no-charge limits:
 10 application per developer account
 1GB storage per application
 5 million page views per month per application

10. Integrating with other
Google Cloud Products

11. Other Google Cloud Platform Services:

12. Google Compute Engine
• For large scale computing needs
• Same infrastructure Google Search, Gmail, Ads
• Virtual machines (VMs) on demand
Provide faster computations
Efficient scaling
Specify 1, 2, 4 or 8 core instances
Up to 3.75 GB memory per core

13. App Engine and Compute Engine
• Control Google Compute Engine cores
• Provide a web facing front end

14. Google Cloud Storage
• Global regional hosting
• Fast access
• Guaranteed up-time of 99.95%
• Backup and restore options
• Unlimited storage

15. App Engine and Cloud Storage
• Manage assets
 Store
 Retrieve
 Display
 Delete
• Read and write flat datasheets

16. Google BigQuery
• Analyze massive amounts of data extremely quickly
• Access via simple UI or REST
• Data storage scales to hundreds of TB

17. Google BigQuery
• Client API libraries
Java, .NET, Python, Go
Ruby, PHP, Javascript and others
• SQL dialect
Access via client libraries
Web UI

18. App Engine And BigQuery
• Access the BigQuery NoSQL engine
• Utilizes analysis power
• Uses REST interface via language-
specific API

19. Google Cloud DataBase Solutions
 Cloud SQL
• Relational database
• MySQL , Postgre SQL
• 100 GB storage
• 16GB RAM
 Cloud Datastore
• Non-ralational database
• NoSQL
• 50k read/write, 200 indexes
• 1GB data / month

20. App Engine, Cloud SQL & Datastore
• Full connectivity to Cloud SQL and Cloud DataStore
• Available for query and applying resulting dataset
• Store data in either relational or non-relational database

21. in future:
• Using the Google Cloud Console
• Setting App Engine services
• Coding our app
• Working with images, style sheets, and other
static files
• Incorporating HTML templates
• Uploading and deploying our app
• Implementing Google Cloud Storage
• Setting up a custom domain

22. The End