REVOLUTIONIZING LOCAL MOBILITY © COPYRIGHT 2016 MOOVIT REDIS USE CASE
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REVOLUTIONIZING LOCAL MOBILITY
© COPYRIGHT 2016 MOOVIT
REDIS USE CASE
Agenda
• Brief Moovit overview
• Build up the Moovit requirements
• Cover requirements using Redis + Redis Labs + Applicative
clustering
• Redis summary
Anan Kenig, Chief Architect @ Moovit
8 Billion People
900 Million Cars
35 Million Users
The World’s #1 Transit App
41Languages
65Countries
800+ Cities
4,500Transit Operators
4.6 millionBus/Train Stops
100 million Daily passenger reports
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!
The Moovit Requirements
1000’s
Reads
/ sec
1000’s Read Ops
Extremely responsive (< 10ms)
Constantly changing
Easily upgradable
The Moovit Requirements1000’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
The Moovit Requirements1000’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
Redis Solution1000’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
Redis Solution1000’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
Redis Solution1000’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 LabsAPI
Moovit Loader
Applicative Clustering
Summarizing RedisAdvantages
Simple
1ms roundtrip is an overhead
Quick
Fast
Things to consider
Simple
Only simple structs
(objects, hashes, sets…)
Everything else needs to be written
REVOLUTIONIZING LOCAL MOBILITY
© COPYRIGHT 2016 MOOVIT
REDIS USE CASE
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