The document discusses scaling a team and technology. It covers sorting algorithms like insertion sort and merge sort, with merge sort being faster at O(n log2 n) time. It notes that a fast server with a slow algorithm can be slower than a slow server with a fast algorithm. It emphasizes using common sense in technology choices over expensive hardware. It also stresses the importance of team culture, technology environment, and having a clear technical vision for building a scalable system.

1. Scaling Your Team & Tech
ASAS 2016
Erik Duindam

2. No more #failwhale
#faalwalvis

3. Sorting hand
Source: Introduction to Algorithms (aka CLRS)

4. Insertion sort

5. Merge sort

6. Algorithm A (insertion sort)
O(n2) (very slow)
Algorithm B (merge sort)
O(n log2 n) (pretty fast)
Server A
10 billion ops/sec (fast)
Server B
10 million ops/sec (1000x slower)

7. Fast server + Slow algorithm

8. Slow server + Fast algorithm

9. SOFTWARE > HARDWARE

14. $1000/month

15. $100/month

16. Programming level pitfalls
• Database fuck-ups
• Heavy libraries
• Assets loading

17. COMMON SENSE TECH

21. TEAM CULTURE

26. TECH ENVIRONMENT

32. TECH VISION

33. Recap
• Common sense tech
• Team culture
• Tech environment
• Tech vision