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

Explore insights from Matt Ranney, Chief Systems Architect at Uber, on scaling microservices architecture in this GOTO Chicago 2016 conference talk. Gain valuable lessons learned from Uber's journey to over 1,000 production services. Discover the advantages and challenges of microservices, including complexity costs, language choices, and HTTP considerations. Delve into operational issues, performance optimization, distributed tracing, logging, and testing strategies. Learn about migrations, open source considerations, and navigating organizational politics. Understand the crucial tradeoffs involved in scaling a microservices architecture for rapidly growing companies like Uber.

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