Designing and Implementing a Multiuser Apps Platform
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The document discusses the design and implementation of Usergrid, a multi-tenant, multi-server application platform built using Java, Spring, Jersey, Jackson, and Cassandra to provide user management, data storage, analytics and other features through a RESTful API in a scalable way that allows multiple teams and applications to easily build and deploy mobile and web apps. The document outlines some of the challenges in building such a platform and how Usergrid addresses issues like consistency, API design, permissions, built-in logic and operations.
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Designing and Implementing a Multiuser Apps Platform
- 1. Designing & Implementing a Multiuser Apps Platform
- 5. App, Cloud, & HTTP
- 6. No Web Stack Page Templates MVC Logic Database
- 7. Just Apps and APIs User Management! Datastore! Analytics! Location! Social Graph! Activity Streams! Messaging!
- 8. What do we really want in 2012?
- 12. POST /events { “category” : “ads”, “counters” : { “ad_clicks” : 5 } }
- 15. GET /restaurants? ql=name contains ‘pizza’ and within 5m of 39.962,- 105.114
- 16. POST /users/me/activities { “title”: “look”, “location”: …}
- 17. GET /users/me/feed [{ “title”: “Ed ate a slice of pizza”, “location”: …}]
- 24. Not about single apps Page Templates MVC Logic Database
- 25. Not about single apps Page Templates MVC Logic Database
- 26. Lots of Teams... Team Team Team
- 27. Lots of Apps... App App App Team
- 28. And App Users... App Team
- 29. And data and devices App Team
- 30. It’s really hard to build for this...
- 31. It’s about seamless data sharding...
- 32. and designing for unpredicable API traffic...
- 33. and it’s about doing a lot of hard stuff so other people don’t have to.
- 34. So, what’s inside? The usual stuff...
- 37. Cassandra should be the only one that gives you pause
- 38. What else could I have used? MySQL? Oracle? MongoDB?
- 39. Not so hot for this... App App App App App App Team Team Team
- 40. Schema Separate Database Shared Database Shared Lame Hmm Separate Schema No Ugh
- 42. Sharding SQL is too much work. Oracle is too much money.
- 43. Most NoSQL works at the wrong abstraction level.
- 44. So Cassandra...
- 45. Cassandra sucks. But you can teach it great tricks.
- 46. Everything you hate about Cassandra I love
- 48. Build your own query system!
- 49. Build your own storage format!
- 51. Time to assemble: 2 months
- 52. Times I’ve regretted doing this: 0
- 54. 1. Consistency 2. API Design 3. Permissions 4. Built-In Logic 5. Operations
- 55. 1. Consistency ZooKeeper and Amazon Whitepapers won’t save you
- 56. 2. API Design
- 57. “Surrender to a Higher Power (whatever it might be)” All hail Roy Fielding
- 60. REST drove the scalability Access Model
- 61. REST drove the scalability Access Model Query Model
- 62. REST drove the scalability Access Model Query Model Denormalization Strategy
- 63. 3. Permissions
- 66. 4. Built-in Logic Sign-in Flows Activity Streams User/Group Management
- 67. 5. Operations
- 68. Keep it simple and elastic Tomcat Tomcat Tomcat Tomcat Tomcat Tomcat Tomcat Cassandra Cluster
- 69. Running with it.
- 70. Projects have a will of their own
- 71. Counters
- 72. Logs
- 73. Admin UI
- 75. HyperMedia API
- 77. What do we want in 2013?
- 78. Take it for granted and run with it.
- 79. Use the ideas Use the code Use the cloud
- 81. Mobile Client
- 83. API
- 84. Web Version
- 85. Building apps in 2005 was very different
- 90. Rails, Django, Node don’t change the overall architecture
- 91. NOSQL works at the wrong abstraction level.
- 92. PaaS is still the same thing (to some extent)