High-Impact refactors keeping the lights on

First presented at PyConES 2017

1. High-impact refactors keeping the lights on @Kartones Diego Muñoz
2. 01. What 02. Why 03. How 04. When Agenda
3. What
4. What
5. What
6. Why
7. Why
8. Why
9. How
10. Mega structures How
11. Mega structures How
12. DB High-frequency selling How CMS API CRUD Current (simplified) flow
13. How Extend, not modify* API DB High-frequency selling CRUD CMS REDIS EVENT BUS EVENT BUS APU *do modify if needed to allow extension
14. Patterns & Practices - Parallel change - Strangler How API DB High-frequency selling CRUD CMS REDIS EVENT BUS EVENT BUS APU
15. How API DB High-frequency selling CRUD CMS REDIS EVENT BUS EVENT BUS APU Patterns & Practices - Event Bus - Cursor-based - N writers/readers
16. How API DB High-frequency selling CRUD CMS REDIS EVENT BUS EVENT BUS APU Patterns & Practices - Event Sourcing
17. How API DB High-frequency selling CRUD CMS REDIS EVENT BUS EVENT BUS APU “Build exciting things with boring nice technologies” - Python 3.6 · Strongly typed (Mypy) · Dockerized - Redis with LUA - AWS Kinesis github.com/ticketea/pynesis
18. When
19. When Continous Iteration - No hard deadline - Desired: soon :-)
20. Latest benchmark: ~4100 ops/sec - Single CPU core, 20k tickets, 50k concurrent users - Attacking internal API - Room for optimization When
21. Current status: - Free events - Paid events on their way · Play safe (money involved!) · Lots of payment methods When
22. Release plan: - Now: Hack (Special payment method) - 1.0: Feature Toggling When
23. Rollout plan 01. Canary: big free event 02. Dark launch: on paid events 03. B/G: Gradual switch When
24. THE END Thanks! @Kartones