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SCALINGUBERMATT RANNEY
InfoQ.com: News & Community Site
• 750,000 unique visitors/month
• Published in 4 languages (English, Chinese, Japanese and Brazilian
Portuguese)
• Post content from our QCon conferences
• News 15-20 / week
• Articles 3-4 / week
• Presentations (videos) 12-15 / week
• Interviews 2-3 / week
• Books 1 / month
Watch the video with slide
synchronization on InfoQ.com!
http://www.infoq.com/presentations
/uber-scalability-arch
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practitioner-driven conference designed for YOU: influencers of
change and innovation in your teams
- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide
Presented at QCon San Francisco
www.qconsf.com
As of November 2015:
Uber Cities Worldwide: 356
Countries: 65
Employees: 4,800
Engineers: 1,500
US Driver Payments in 2015: $3.5B
Scaling Uber
Scaling Uber
UBER ENGINEERING
HISTORY
2009-2010 Outsourced PHP + MySQL
Jan 2011 "dispatch" - Node.JS/MongoDB
Jan 2011 “API” - Python/SQLAlchemy/MySQL
Feb 2012 Dispatch swaps MongoDB for Redis
May 2012 Dispatch adds ON fallback
Jan 2013 First non-API Python services
Feb 2013 API switched to Postgres
Mar 2014 New Python services use MySQL
Mar 2014 Schemaless begins, must finish before pg collapse
Sep 2014 First Schemaless - trips out of Postgres
Aug 2015 Dispatch X.0 / Ringpop / Riak
TECHNICAL DEBT
MICROSERVICES
Scaling Uber
MICROSERVICES
Immutable?
Append Only?
Node.JS
Python
Go
Java
SCALING NODE
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Getting out of the HTTP+JSON business
HTTP is slow, complex, and inconsistent
JSON is hard to validate, awkward in non-node
Thrift is OK, but generated code is bad
Scaling Uber
Scaling Uber
SERVICE DISCOVERY
Scaling Uber
Lots of services, lots of instances
Mostly Node.JS and Python
Call graph unknowable
Self-inflicted DoS
Cascading failures
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
Scaling Uber
load balancerservice A
service B
service B
load balancer
service A service B
service B
horizontal scalability
zipkin tracing
circuit breaking
rate limiting
failure testable
almost no configuration
as available as possible
overall latency ≥ latency of slowest component
1ms avg, 1000ms p99
use 1: 1% at least 1000ms
use 100: 63% at least 1000ms
1.0 - 0.99^100 = 0.634 = 63.4%
LATENCY
requeststhatareslow
0%
25%
50%
75%
100%
Processes Used
1 2 4 8 16 32 64 128 256 512 1024
p95 p99 p99.9
Scaling Uber
Scaling Uber
Scaling Uber
CULTURAL CHANGES
FAILURE TESTING
RETRIES
partner app dispatch DC1
Location Updates
State Digest
dispatch DC2
Location Updates
State Request
Scaling Uber
Scaling Uber
http://www.principlesofchaos.org/
EMBRACE THE CHAOS
THANKS
Watch the video with slide
synchronization on InfoQ.com!
http://www.infoq.com/presentations/
uber-scalability-arch

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