Evolutionary architecture

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This document discusses evolutionary architecture, which supports continual and incremental change across multiple dimensions. It describes how architectures like microservices and decentralized data/governance can evolve. Natural selection and experimentation are key, using A/B testing and fitness functions to determine what changes are better. Lessons learned include following Conway's Law, having accurate fitness functions, and starting with necessary infrastructure and small experiments. Evolutionary architecture is the next step after microservices.

Evolutionary
Architecture
My Take
&
Lessons Learned
Efim Dimenstein
July 2018

WHO AM I
Efim Dimenstein
Chief Architect, Liveperson
efim@efimd.com

Why this talk
Observations & Experiences

Engineers/Architect Daily Life
• Productivity
• Scalability
• Security
• Portability
• Stability
• Performance
• ….

Higher Level Goal
Doing the right thing at the right time

What is the right thing?
• Do we know?
• Can we predict?
• Do we react?

Looking at real life
Evolution
Incremental
Adaptable
Experimental

Evolutionary Architecture
An evolutionary architecture supports
continual and incremental change as a first
principle along multiple dimensions

How does this all apply to
Software Architecture?

Big Ball of Mud
Continual
Incremental
Dimensions

Layered Architecture
Presentation
Business
Persistence
Database
Component Component
Component Component
Component Component
Opportunities
Continual
Incremental
Dimensions

Domain Shift
Presentation
Business
Persistence
Database
Component Component
Component Component
Component Component Continual
Incremental
Domain
Dimensions

Microservices
API layer
User
Component
Component
Account
Component
Component
Product
Component
Component
Rating
Component
Component
Continual
Incremental
Dimensions

Decentralized Data Management
API layer
User
Component
Component
Account
Component
Component
Product
Component
Component
User Account
Product

Decentralized Governance
1 Stack Free for all
Architect suffers from less pressure
to make the correct choice

How do we know which is better?
Fitness Function

Natural Selection & Experimentation
In Software Architecture -> Natural selection is
A/B testing with Fitness Function

Service Level Selection
API layer
User
Component
Component
Account
Component
Component
Product
Component
Component
Rating
Component
Component
User v2
Component
Component

Service Level Selection
API layer
Account
Component
Component
Product
Component
Component
Rating
Component
Component
User v2
Component
Component

Component Level Selection
User
Component A
Component
Component A v2
Component
Component

Component Level Selection
User
Component A
Component
Component
Component

Infrastructure Needed
• Feature Toggles
• Load Balancing & Routing ability

Lesson 1:
Conway’s Law
"organizations which design systems ... are constrained to produce designs
which are copies of the communication structures of these organizations."

Lesson 2:
Don’t Lie with the Fitness Function

Lesson 3:
Don’t even start without
necessary infrastructure in place

Lesson 4:
Real Life problems are complex
So start small

Conclusion
Evolutionary Architecture is the next step
after Microservices
As with Microservices - necessary
infrastructure is key

References
https://medium.com/developers-writing/my-take-on-evolutionary-architecture-f761d45e75b9
http://www.evolutionaryarchitecture.com
https://www.youtube.com/watch?v=SzSZpZI02Jg

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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

15. Microservices API layer User Component Component Account Component Component Product Component Component Rating Component Component Continual Incremental 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

19. CI/CD & Automation

20. Evolutionary Architecture An evolutionary architecture supports continual and incremental change as a first principle along multiple dimensions

21. So we’re done, right?

22. No, we just got to the interesting part

23. Natural Selection & Experimentation

24. How do we know which is better? Fitness Function

25. Fitness Function(s) Metrics

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

32. Real Life Lessons Learned

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

38.

39. References https://medium.com/developers-writing/my-take-on-evolutionary-architecture-f761d45e75b9 http://www.evolutionaryarchitecture.com https://www.youtube.com/watch?v=SzSZpZI02Jg

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.
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