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R&D for L&D Ben Betts & James Mullaney
| Date post: | 15-Feb-2017 |
| Category: |
Technology |
| Upload: | megan-bowe |
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R&D for L&DBen Betts & James Mullaney
R&D for L&D
R&D for L&D
Scaling to meet demands
R&D for L&D
R&D for L&D
- Cloud based hardware (CentOS, Ubuntu etc)
- Load balancers (with SSL offloaded)
- Scale horizontally
- Nginx or Apache?
- PHP (FPM), Node or both!
Application Stack
R&D for L&D
Application Throughput
~ 70 ms~ 120 ms~ 600 ms~ 5,000 ms
1 =10 =
100 =1000
=
R&D for L&D
Database Stack
- ~9 servers for single sharded cluster
- 3 Replicas (Storage)- 3 Config (Metadata)- 3 MongoS (Routing) - Fully redundant
- Pick your shard key wisely…
- WiredTiger vs MMap
R&D for L&D
Database Throughput
R&D for L&D
Mongo Storage Engines
(with 2KB statement size)
3-4X compression through WiredTiger
R&D for L&D
Making use of scale
R&D for L&D
Our Data isn’t really BIG yet
R&D for L&D
Free MOOC starting AGAIN soon…Learn xAPI
www.curatr3.com
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