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YouTube

What I Wish I Had Known Before Scaling Uber to 1000 Services

GOTO Conferences via YouTube

Overview

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This talk distills lessons from Uber’s growth beyond 1,000 production services using microservices. It examines the architecture’s costs and complexity, including performance, fanout, tracing, logging, testing, and migrations.

Syllabus

Intro
What advice would I have gotten
Microservices
Why Microservices
Cost of Microservices
Cost of Complexity
Languages
HTTP
Operational Issues
Performance
Performance vs Optimization
Fanout
Distributed tracing
Overhead from tracing
Logging
Load Testing
Failure Testing
Migrations
Open Source
Politics
Tradeoffs

Taught by

GOTO Conferences

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