Rapid growth in Uber's service is happening worldwide, leading to constant changes.
Scaling Uber's engineering team from 200 to 2000 in 1.5 years.
Microservices allow fast team formation, independent release, and ownership of service uptime.
Microservices introduce complex failure modes, troubleshooting challenges, and distributed system management.
Microservices can trade complexity for politics and bias in technology choices.
How has Uber's engineering team scaled over time?
—Uber's engineering team has grown from 200 to 2000 in just 1.5 years in response to rapid growth.
What are the advantages of using microservices in a scaling system?
—Microservices enable quick team formation, independent release cycles, and ownership of service uptime.
What are the challenges introduced by microservices in a distributed system?
—Microservices introduce complex failure modes, troubleshooting challenges, and increased system management complexity.
What are the trade-offs of using different technologies in a distributed system?
—Using different technologies in a distributed system can lead to codebase fragmentation, difficulty in sharing code, and challenges when moving between teams.
What are the potential risks of having a multi-language codebase?
—A multi-language codebase can introduce additional complexity, hinder cross-team collaboration, and create bias in technology choices.
00:09Uber has experienced rapid growth globally, leading to constant changes in their service.
01:40Uber's engineering team has grown from 200 to 2000 in just 1.5 years.
04:28Microservices allow for faster team formation, independent release cycles, and ownership of service uptime.
06:41Microservices introduce complex failure modes, troubleshooting challenges, and distributed system management.
09:59Using different technologies in a distributed system can lead to codebase fragmentation, difficulty in sharing code, and challenges when moving between teams.
