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1
Intro
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What advice would I have gotten
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Microservices
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Why Microservices
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Cost of Microservices
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Cost of Complexity
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Languages
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HTTP
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Operational Issues
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Performance
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Performance vs Optimization
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Fanout
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Distributed tracing
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Overhead from tracing
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Logging
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Load Testing
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Failure Testing
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Migrations
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Open Source
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Politics
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Tradeoffs
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

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

GOTO Conferences
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