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Introduction
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Classroom Contents
Continuous Optimization of Microservices Using Machine Learning
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- 1 Introduction
- 2 The Problem
- 3 Performance Stack
- 4 Performance Tuning
- 5 Performance Optimization
- 6 Performance Constraints
- 7 Hidden Variables
- 8 Performance Tuning Problem
- 9 Bayesian Optimization
- 10 Example
- 11 Gaussian Process
- 12 Expected Improvement
- 13 Bayesian Optimization as a Service
- 14 Bayesian Optimization API
- 15 Random Search
- 16 Twitter
- 17 Recap
- 18 Microservice
- 19 Staging
- 20 Setup
- 21 Results
- 22 Optimization changes
- 23 Takeaways
- 24 Implementation
- 25 Conclusion
- 26 Question
