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Empowering AWS DevOps with Python and Machine Learning
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- 1 intro
- 2 preamble
- 3 intro
- 4 agenda
- 5 scaling is hard
- 6 problem
- 7 context
- 8 approach
- 9 load test one host
- 10 retrieve data from aws to pandas
- 11 analyse one host performance
- 12 we can do better
- 13 another thing - latency
- 14 approaches
- 15 create a scaling simulator
- 16 create a traffic shape generator
- 17 and run a first local experiment
- 18 what does it mean?
- 19 first attempt
- 20 find the best parameters
- 21 and the winner is
- 22 which actually looks better
- 23 testing new parameters in production
- 24 simulation versus real life
- 25 conclusion
- 26 code
- 27 about gustavo