moovit, uses redis labs to solve problems of a scale and complexity not known before.

1. REVOLUTIONIZING LOCAL MOBILITY
© COPYRIGHT 2016 MOOVIT
REDIS USE CASE

2. Agenda
• Brief Moovit overview
• Build up the Moovit requirements
• Cover requirements using Redis + Redis Labs + Applicative
clustering
• Redis summary
Anan Kenig, Chief Architect @ Moovit

3. 8 Billion People
900 Million Cars

4. 35 Million Users
The World’s #1 Transit App
41
Languages
65
Countries
800+
Cities

5. 4,500
Transit Operators
4.6 million
Bus/Train Stops
100 million
Daily passenger reports

6. New city added every
20 Hours!
Moovit service covers population of ~1B (excluding China & India)
In 25% of the Metro areas we serve we are the ONLY service (no Google(
Next year Moovit service will cover a population of over 2B!

7. The Moovit Requirements
1000’s
Reads
/ sec
1000’s Read Ops
Extremely responsive (< 10ms)
Constantly changing
Easily upgradable

8. The Moovit Requirements
1000’s Read Ops
Extremely responsive (< 10ms)
Easily upgradable
Scale horizontally
More coverage
Scale
Vertically
2-dimensional scaling
Full redundancy
99.99∞99 availability
Seamless failover
No SPOF

9. The Moovit Requirements
1000’s Read Ops
Extremely responsive (< 10ms)
Easily upgradable
2-dimensional scaling
Full redundancy
99.99∞99 availability
Seamless failover
No SPOF
Data blocks frequently
change holistically
Holistic data block switches
Full switches automation & manageability

10. Redis Solution
1000’s Read Ops
Extremely responsive (< 10ms)
Easily upgradable
2-dimensional scaling
Full redundancy
99.99∞99 availability
Seamless failover
No SPOF
Holistic data block switches
Full switches automation & manageability
• Support 1000’s iops
• Extremely fast
• No magic to upgrades –
as easy as you write it,
but it’s easy to write




11. Redis Solution
1000’s Read Ops
Extremely responsive (< 10ms)
Easily upgradable
2-dimensional scaling
Full redundancy
99.99∞99 availability
Seamless failover
No SPOF
Holistic data block switches
Full switches automation & manageability
• Clustering allows 2D
scaling
• Full redundancy &
seamless failover using
high-availability
deployment
• Very high availability



Redis Labs





12. Redis Solution
1000’s Read Ops
Extremely responsive (< 10ms)
Easily upgradable
2-dimensional scaling
Full redundancy
99.99∞99 availability
Seamless failover
No SPOF
Holistic data block switches
Full switches automation & manageability
• No SPOF – worst case
one metro fails
• Replace entire data
holistically w/o interrupting
reads
• Fully automatable &
maintainable via API
• Full resource utilization







Redis Labs
API
Moovit Loader
Applicative Clustering




13. Summarizing Redis
Advantages
Simple
1ms roundtrip is an overhead
Quick
Fast
Things to consider
Simple
Only simple structs
(objects, hashes, sets…)
Everything else needs to be
written

14. REVOLUTIONIZING LOCAL MOBILITY
© COPYRIGHT 2016 MOOVIT
REDIS USE CASE