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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