Closing talk at TIAD Paris

1. IS IT WORTH MY TIME?
AUTOMATION

2. @JRHUNT
J. RANDALL HUNT

3. @JRHUNT
J. RANDALL HUNT

4. AGENDA
▸Why automate?
▸When to automate?
▸How to automate?
▸Stories from the field

5. WHY THE HELL AM
I DOING THIS?

6. EXAMPLE!
sorry, I like big fonts!

7. WHY?
FIND LARGEST FILE IN A DIRECTORY

8. WHY?
FIND LARGEST FILE IN A DIRECTORY
▸ ls -S | head -1
▸ takes about 4 seconds to type
▸ takes about 45 seconds to google

9. WHY?
FIND LARGEST FILE IN A DIRECTORY
▸ ls -S | head -1
▸ takes about 4 seconds to type
▸ takes about 45 seconds to google
▸ largest () { ls -S | head -1 }
▸ takes about 15 seconds to type...
▸ and then 2 seconds forever after

10. WHY?
FIND LARGEST FILE IN A DIRECTORY
▸ ls -S | head -1
▸ takes about 4 seconds to type
▸ takes about 45 seconds to google
▸ largest () { ls -S | head -1 }
▸ takes about 15 seconds to type...
▸ and then 2 seconds forever after

11. WHY?
FIND LARGEST FILE IN A DIRECTORY

12. WHY?
FIND LARGEST FILE IN A DIRECTORY
▸ find . -type f -print0 | xargs -0 du -h | sort -hr | head -1

13. WHY?
FIND LARGEST FILE IN A DIRECTORY
▸ find . -type f -print0 | xargs -0 du -h | sort -hr | head -1

14. WHY?
5 HOURS OF FASCINATED CLICKING LATER

15. https://xkcd.com/1319/

16. https://xkcd.com/1319/

18. https://xkcd.com/974/

19. AWS SIMPLE SYSTEMS
MANAGEMENT

20. WHEN SHOULD I
DO THIS?

21. https://xkcd.com/1205/

22. https://xkcd.com/1205/

23. https://xkcd.com/1205/
PERFORMANCE
QUALITY

24. WHEN?
CHESS GAME WINNERS
▸ ~14 million games recorded in ASCII
▸ Read in files, aggregate winners, report stats
▸ Sounds like a job for:

25. AMAZON EMR

26. AMAZING PERFORMANCE --
ENTIRE DATASET COMPUTED IN
JUST 20 MINUTES FOR <$10!!

27. HMM....

28. WHEN?
CHESS GAME WINNERS
▸ ~14 million games == ~10 gigs
▸ Read in files, aggregate winners, report stats == grep /
awk
▸ Sounds like a job for: THE COMMAND LINE!

29. find . -type f -name '*.pgn' -print0 | xargs -0 -n4 -P4 mawk '/
Result/ { split($0, a, "-"); res = substr(a[1], length(a[1]), 1); if (res ==
1) white++; if (res == 0) black++; if (res == 2) draw++ } END { print
white+black+draw, white, black, draw }' | mawk '{games += $1;
white += $2; black += $3; draw += $4; } END { print games, white,
black, draw }'
Thanks to Adam Drake for figuring this out!
http://aadrake.com/command-line-tools-can-be-235x-faster-than-your-hadoop-cluster.html

30. 30 SECONDS

31. OK, TELL ME
HOW!

32. HOW?
I HAVE NO IDEA WHAT I'M DOING, BUT THIS IS WHAT I DO
1. Identify constraints
‣ Money, Business Goals, Time, Performance, Beauty
2. Pursue mitigating factors within constraints
3. Relentlessly pursue constraints until the laws of physics
tell you to stop
4. Iterate

33. WHAT ARE THE ACTUAL
CONSTRAINTS?

34. CONSTRAINTS
HARDWARE
▸ AWS EBS gp2 volumes have max ~160MiB/s*
▸ AWS EBS io2 volumes have max ~320 MiB/s*
▸ Realistic max network performance of ~800 MiB/s*
▸ CPU performance varies on instance type but up to 8
terraflops per instance

35. CONSTRAINTS
BUSINESS CONSTRAINTS (MONEY)
▸ How much money can we spend on this problem?
▸ How much time can we spend on this problem?
▸ Will a partially automated solution allow us to kick this
problem down the road?
▸ Is it cheaper/easier/more accurate to hire humans?

36. CONSTRAINTS
QUALITY CONSTRAINTS (AI VS HUMANS)
▸ How much better are humans at solving this?

38. CRAZY STUFF
WE'VE AUTOMATED

40. BRINGING IT BACK
HOME

41. CLOSING THOUGHTS
INFRASTRUCTURE AS CODE == AUTOMATION AS CODE
▸ Chef, Puppet, Ansible or something similar is vital
(you already know this)
▸ AWS CloudFormation lets you launch entire
FLEETS and NETWORKS in moments. This system
is free...
▸ Heterogeneity is the death of automation (cattle
not pets)

42. CLOSING THOUGHTS
STOP DOING THE THINGS YOU ALREADY KNOW HOW TO DO
▸ You already know how to run a reverse proxy -- write the
code once and be done with it (Amazon API Gateway).
▸ You already know how to maintain your database (AWS
RDS) set up protocols and be done with it
▸ You already know how to manage security and
permissions, don't set it up yet again

43. CLOSING THOUGHTS
▸ Identify the biggest automation wins
▸ Pursue your automation by pursuing constraints
▸ Add humanity to the process
▸ Don't overthink it, but definitely think about it

44. AWS User Groups
Lille
Paris
Rennes
Nantes
Bordeaux
Lyon
Montpellier
Toulouse
facebook.com/groups/AWSFrance/
@aws_actus

45. AWS Enterprise Summit – 27/10/2016, Paris
http://amzn.to/1X2yp0i