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Building the better BaaS 
Ed Anuff & Nate McCall
@edanuff @zznate
What’s a BaaS and what’s so special about Usergrid? 
Ed Anuff 
Usergrid Founder, Apigee Product Strategist 
3
App, Cloud, and HTTP 
4
No Web Stack 
5 
Page Templates 
MVC Logic 
Database
Just Apps and APIs 
6
Building A Platform 
7
Not just an App 
8
App 
Developer
Team Team Team
App App App 
Team
App 
Team
App 
Team
App App App App App App 
Team Team Team
Key Challenges 
• New Type Of Database (Cassandra) 
• New Type Of Deployment (Elastic in the Cloud, Small & Fast on the Desktop) 
• New Type of Access (REST API, SDKs) 
• New Type of Learning Curve (Smart Docs & Swagger) 
15
Major Milestones & Progress 
• 2011 – Usergrid released as first Open Source BaaS 
• 2012 – Usergrid becomes part of Apigee 
• 2012 – Apigee ships Enterprise App Services 
• 2013 – Integrated as Apigee Edge BaaS 
• 2013 – Usergrid goes to Apache 
• 2014 – Apache Usergrid 1.0 release! 
• 2014 – Apigee 127 Developer Kit with Node.js, Volos, and Usergrid 
• 2014 – Apigee BaaS 2.0 and Usergrid 2.0 Beta 
16
How do you use a BaaS? 
17
/users 
/groups 
/users/me/followers
/restaurants 
/products 
/car-washes 
/<whatever>
POST /devices/<id>
POST /events 
{ “category” : “ads”, 
“counters” : { 
“ad_clicks” : 5 
}}
/users/ed/friends/nate 
/users/ed/likes/foods/pizza
GET /restaurants?near=37.803, - 
122.404
GET /restaurants?ql=name 
contains ‘pizza’ and within 5m of 
39.962,-105.114
POST /users/me/activities 
{ “title”: “look”, 
“location”: …}
GET /users/me/feed 
[{ “title”: “Ed ate a slice of pizza”, 
“location”: …}]
postUserActivity(me, activity) 
[client postUserActivity: “me” 
activity: activityObj]
/token?grant_type=... 
/auth/facebook?fb_access_token 
=…
/users?filter=facebook.first_name 
eq 'john'
/users?ql=name eq 'john' and 
facebook.education. 
school.name contains '...'
What’s Usergrid 2.0 all about? 
Nate McCall 
Apache Usergrid PPMC & Cassandra MVP 
31
Who is this man and why isn’t he here? 
32 
Todd Nine, Lead Architect for Apigee Edge BaaS, Apache Usergrid Committer, and 
Recently Married Man as of Last Friday, now on Honeymoon
New Pieces of the Stack 
33 
RxJava Archaius 
GuicyFig
Challenges 
• 1.0 Architecture had a number of Cassandra anti-patterns 
• Enterprise users wanted to load and query large datasets 
• Cassandra moving to 2.0 with CQL3, deprecating Thrift protocol 
• Team wanted to leverage new indexing models of Elastic Search 
34
New Architectures 
• Elastic Search 
• Cassandra 2.0+ 
• Moving most common operations to CQL as the transport 
• Archaius and Guice for dynamic configuration management 
• Hystrix and RxJava 
35
New Architectures: Elastic Search 
• Right tool for the job 
• Cassandra worked… until it didn’t. 
• Well known operationalization characteristics 
• Scale-out was well understood for “full text search” use case 
36
New Architectures: Cassandra 2.0/2.1 
• Still best of breed NoSQL solution for scale 
• Off-heap performance improvements 
• Failure scenario performance improvements 
37
New Architectures: Archaius and Guice 
• Properties typing 
• Property change polling 
• Hierarchical callbacks on changes 
• Load from anywhere dynamic sources 
• … all via Guice annotations 
38
New Architectures: Archaius + Guice = GuicyFig 
39
New Architectures: Archaius + Guice = GuicyFig 
40
New Architectures: Hystrix and RxJava 
• Compose sequences of asynchronous events declaratively 
• Circuit breaker pattern for back-off and retry 
• Natural fit with complex, asynchronous operations such as graph updates… 
41
New Architectures: RxJava Example 
42
More Stuff 
• Major components are plug-able 
• MVCC 
• Directed edge graph supports time series and collections 
• Chop load testing framework 
43
New Open Source Projects Spun Out 
• Judo-Chop: annotation based load testing framework 
• GuicyFig: combination of Netflix’s Archaius and Google’s Guice 
• Modular Cassandra JUnit integration (coming soon!) 
44
What’s next? 
45
Usergrid 3.0 
• V2 API (V3?) 
• Subscriptions (standing server-side queries with notifications) 
• WebSocket/Server-side Events 
• WebHooks 
• Data storage management (reporting, limits, etc.) 
• Collection management (deletes, copies, etc.) 
• Consistency exposed via API(conditional puts, etc.) 
• Indexing API 
• Queues 
• Expanded/pluggable sign-in (more Oauth, LDAP, etc.) 
46
How can you get involved? 
47
48 
http://www.usergrid.org
http://developer.apigee.com
Thank you

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Building a Better BaaS

Editor's Notes

  1. and those apps could have a lot of users, the people who actually interact with the app and 10 millions users has to be as easy as ten thousand
  2. The idea is a platform service with lots of teams, each with lots of devs Think something like the GitHub model This is the basic foundation, lots of software-as-a-service needs this
  3. And the idea is that each team can build as many apps as they want each app is going to get a dataspace of its own
  4. and those apps could have a lot of users, the people who actually interact with the app and 10 millions users has to be as easy as ten thousand
  5. and every user has a device and a bunch of data
  6. So this is the goal Now that’s a lot of data, and it’s “big data”, but it’s also kind of a hard data model an inherently relational data model so lots of people start with relational DBs
  7. I want to be able to manager users I want to have groups I want social constructs
  8. I want to be able to store and retrieve anything my app needs
  9. and I need to track the devices no matter how many of them
  10. and log every event, keeping track of counts in realtime
  11. I want to be able to build arbitrary relationships social or data relations
  12. I need to be able to query by locations
  13. and complex queries
  14. I want any app I build, whether consumer or pro to have activities
  15. and get all the activities fast with a single query at any scale
  16. I’ve got to be able to do it from iOS and Android
  17. I want OAuth 2 to be built in I also need to do things like sign in with Facebook
  18. and filter on user’s facebook profiles
  19. or do complex queries so I can do personalization or targetting
  20. Right tool: REST, lucene documents/inverted index, tokenization Cassandra: Went well beyond original use case of “message inbox search” Indeterminent results: TODO lookup 10k limit code sample
  21. Right tool: REST, lucene documents/inverted index, tokenization Cassandra: Went well beyond original use case of “message inbox search” Indeterminent results: TODO lookup 10k limit code sample
  22. Probably best-of-breed property management. This was so good, a stand-alone project was spun out.
  23. CollectionModule.java
  24. GuiceModule.java
  25. That’s “zip” as in “zipper” i believe. This says “apply this function in strict sequence against the asynchronous results of these two observables” which is kind of exactly what you want when listening for graph edges to delete. EdgeDeleteListnerImpl