Your SlideShare is downloading. ×
Google App Engine
(Platform as a Service)
Boston Cloud Services Meetup
J Singh
January 14, 2014
PaaS Goal: Focus on Development, not Ops
• Virtual Raised Floor
– IDE above the floor
– Website for visibility
and control...
IDE Above the Floor
• The programmer’s development environment
– Presentation layer: HTML, CSS, JavaScript
– Control layer...
Ops below the floor
• Made visible through a web interface
–
–
–
–
–
–

Operating System
File System
User Authentication
U...
Deployment System
• Methods for continuous deployment
– Upload
– Version management

© DataThinks 2013-14
5

5
Google App Engine
• Strategic Technology Offering for Server-side applications
– Vehicle for introducing internal technolo...
Google App Engine History
• Introduced in 2008
– Python, Google DataStore

• Now
– Languages
• Python, Go, PHP, Java
– And...
Sources
• Getting Started Instructions: (http://goo.gl/Wc4A9R)
• Map Reduce Instructions: (http://goo.gl/gzmj7T)
• Code: (...
Guestbook Application
• Application Demo
(http://goo.gl/ItxjME)

• Code walk through:
– Dispatching
– Code
– Templates

– ...
Map Reduce Flow

© DataThinks 2013-14
10

10
Map Reduce Pipelines
• Map Reduce is rarely a singular operation
• Multiple Map Reduce operations are pipelined together
–...
Map Reduce Application
• Application Demo
(http://goo.gl/KUPDc1)

• Code walk through:
– WordCountPipeline
– word_count_ma...
Thank you
• J Singh
– Principal, DataThinks
• j.singh@datathinks.org

– Adj. Prof, WPI

© DataThinks 2013-14
13

13
Upcoming SlideShare
Loading in...5
×

PaaS - google app engine

16,981

Published on

Published in: Technology, News & Politics
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
16,981
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Transcript of "PaaS - google app engine"

  1. 1. Google App Engine (Platform as a Service) Boston Cloud Services Meetup J Singh January 14, 2014
  2. 2. PaaS Goal: Focus on Development, not Ops • Virtual Raised Floor – IDE above the floor – Website for visibility and control below the floor – Deployment System ( Tile Lifter) © DataThinks 2013-14 2 2
  3. 3. IDE Above the Floor • The programmer’s development environment – Presentation layer: HTML, CSS, JavaScript – Control layer: Web Server code • Access to external APIs – Data layer: Data Model • Indexing advice – Optionally, analytics © DataThinks 2013-14 3 3
  4. 4. Ops below the floor • Made visible through a web interface – – – – – – Operating System File System User Authentication Utilities (cron, etc.) Logs Database maintenance, backups, etc. © DataThinks 2013-14 4 4
  5. 5. Deployment System • Methods for continuous deployment – Upload – Version management © DataThinks 2013-14 5 5
  6. 6. Google App Engine • Strategic Technology Offering for Server-side applications – Vehicle for introducing internal technology to the outside developer community – Not to be confused with Google Apps – Frequent criticism: • Single-source • Except for AppScale (GAE code that runs on Amazon) © DataThinks 2013-14 6 6
  7. 7. Google App Engine History • Introduced in 2008 – Python, Google DataStore • Now – Languages • Python, Go, PHP, Java – And languages that compile to JVM byte codes – Data Stores • Google DataStore (NoSQL), CloudStore (Cloud intf to MySQL) – Map Reduce © DataThinks 2013-14 7 7
  8. 8. Sources • Getting Started Instructions: (http://goo.gl/Wc4A9R) • Map Reduce Instructions: (http://goo.gl/gzmj7T) • Code: (http://goo.gl/SqmCKk) (a Github repository) – Commit 0e24b6ad7: Guestbook application – Commit 68f929415: Fetching from a Gutenberg.org URL • Gets “Permission Denied” from gutenberg.org • Change to read & parse pages from Wikipedia or another source – Commit 1740fedc6: Map Reduce changes © DataThinks 2013-14 8 8
  9. 9. Guestbook Application • Application Demo (http://goo.gl/ItxjME) • Code walk through: – Dispatching – Code – Templates – Write something in the guestbook, – Log in, write again, – … • Change page text • Console walk through: • Delete some guestbook entries – Dashboard – DataStore – Logs © DataThinks 2013-14 9 9
  10. 10. Map Reduce Flow © DataThinks 2013-14 10 10
  11. 11. Map Reduce Pipelines • Map Reduce is rarely a singular operation • Multiple Map Reduce operations are pipelined together – Fan out, synchronization semantics © DataThinks 2013-14 11 11
  12. 12. Map Reduce Application • Application Demo (http://goo.gl/KUPDc1) • Code walk through: – WordCountPipeline – word_count_map – word_count_reduce • Where are the results? © DataThinks 2013-14 12 12
  13. 13. Thank you • J Singh – Principal, DataThinks • j.singh@datathinks.org – Adj. Prof, WPI © DataThinks 2013-14 13 13

×