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Evolutionary architecture
- 1. Evolutionary Architecture My Take & Lessons Learned Efim Dimenstein July 2018
- 2. WHO AM I Efim Dimenstein Chief Architect, Liveperson efim@efimd.com
- 3. Why this talk Observations & Experiences
- 4. Engineers/Architect Daily Life • Productivity • Scalability • Security • Portability • Stability • Performance • ….
- 5. Higher Level Goal Doing the right thing at the right time
- 6. What is the right thing? • Do we know? • Can we predict? • Do we react?
- 9. Looking at real life Evolution Incremental Adaptable Experimental
- 10. Evolutionary Architecture An evolutionary architecture supports continual and incremental change as a first principle along multiple dimensions
- 11. How does this all apply to Software Architecture?
- 12. Big Ball of Mud Continual Incremental Dimensions
- 13. Layered Architecture Presentation Business Persistence Database Component Component Component Component Component Component Opportunities Continual Incremental Dimensions
- 14. Domain Shift Presentation Business Persistence Database Component Component Component Component Component Component Continual Incremental Domain Dimensions
- 16. Decentralized Data Management API layer User Component Component Account Component Component Product Component Component User Account Product
- 17. Decentralized Governance 1 Stack Free for all Architect suffers from less pressure to make the correct choice
- 18. Coupling
- 20. Evolutionary Architecture An evolutionary architecture supports continual and incremental change as a first principle along multiple dimensions
- 22. No, we just got to the interesting part
- 23. Natural Selection & Experimentation
- 24. How do we know which is better? Fitness Function
- 26. Natural Selection & Experimentation In Software Architecture -> Natural selection is A/B testing with Fitness Function
- 27. Service Level Selection API layer User Component Component Account Component Component Product Component Component Rating Component Component User v2 Component Component
- 28. Service Level Selection API layer Account Component Component Product Component Component Rating Component Component User v2 Component Component
- 29. Component Level Selection User Component A Component Component A v2 Component Component
- 30. Component Level Selection User Component A Component Component Component
- 31. Infrastructure Needed • Feature Toggles • Load Balancing & Routing ability
- 33. Lesson 1: Conway’s Law "organizations which design systems ... are constrained to produce designs which are copies of the communication structures of these organizations."
- 34. Lesson 2: Don’t Lie with the Fitness Function
- 35. Lesson 3: Don’t even start without necessary infrastructure in place
- 36. Lesson 4: Real Life problems are complex So start small
- 37. Conclusion Evolutionary Architecture is the next step after Microservices As with Microservices - necessary infrastructure is key
Editor's Notes
- Stepping back a bit and looking into the real world, made me see things from a surprisingly comparable perspective. How about the evolution of life? Which were the reasons for some life’s variations to outlive others? Since I am not a biologist, nor a scientist, the explanations I gave myself were quite trivial but also highly convincing. Certainly, there are multiple variations, multiple species and let’s even say versions of life. Further there are generations, thus continuation and incrementation. Evolution is not a sudden change, but rather the conclusion of the capability to adapt to explicit circumstances within our world’s directly affecting environment. The ability to improve and learn with every generation gave me a strong hint. What if software and its architecture could follow the same rules? There is a vast number of obvious attributes one could extract from this real wold’s scenario and apply to software architectural thinking.
- Architect suffers from less pressure to choose the correct choice