Performance and Happiness

1. Performance is Happiness

2. import random
import time
import requests
class Speaker(object):
def __init__(self):
born = "Avilés - Asturias"
studies = "Applied Maths and Computability"
jobdescription = "Performance Jedi"
company = "Telefónica I+D"
team = "Product Engineering"
project = "AWAZZA"
talks = [VLC Testing, DevopsDays, WebPerfDays, Velocity]
def talk(self):
start_timer = time.time()
r = requests.get('http://www.slideshare.net/almudenavivanco')
r.raw.read()
latency = time.time() - start_timer
self.custom_timers[‘ExpoQA’'] = latency
if __name__ == '__main__':
speech = Speaker()
speech.talk()
print trans.custom_timers
Almudena Vivanco
(@MrsDaehin)

3. Performance Team

4. • User Satisfaction
• What to Measure
• How to Measure
• What to Monitor
What are we going to focus
on?

6. Fear the Latency

7. Fear the Latency

8. Fear is the path to
the dark side. Fear
leads to Inertia.
Inertia Leads to
paralysis. Paralysis
leads to going out of
Business.

9. Let’s Aim for Speed

11. What shall we Measure?

14. Vista Waterfall
Una vez ejecutado veremos
Sin
Cache de
Browser
Con
Cache de
Browser
Golden
Performance
Rules

15. Time is Relative

16. Analytical Review Parameters
Localización
Browser
Velocidad de Conexión
Número de test a ejecutar ( coger un número Impar ;) )
First View and Repeat View ( Cache!!! )
Document Complete vs OnLoad
Ignorar Errores SSL
Capturar tcpdump
User Agent ad Hoc
Custom Headers
What shall we Measure?

17. Size?

18. What shall we Measure?

19. Number of Requests?

21. Number of Domains?

22. SPOF y Block
La opción de Block nos simula un error tipo 404 mientras que si usamos el SPOF nos simula un timeout.
Por ejemplo podemos comprobar con Block la diferencia entre el tiempo de carga con y sin anuncios ( bloqueando
anuncios o trackers ;) )
En cambio cuando probamos el Single Point of Failure lo que queremos comprobar es que nuestro site es resilient a
3rd parties como por ejemplo los trackers, cómo se comporta nuestro site si el acceso a google analytics es lento o
realmente no hay servicio.

24. “My Mean time is fine."

25. Apdex Index
t = acceptable response time
satisfied = response time < t
tolerating = t < response time > 4t
frustrated = response time > 4t
Apdex [t] = (satisfied + tolerating/2)/total requests

26. Afterwards … in PROD ...

27. Time To
FIRST
BYTE

30. Waterfall Detalles

31. Cómo analizar el waterfall
Cuántos Kb tiene el html inicial
En qué segundo comienza el evento render
Cuántos socket connections hay hacia un
host en concreto
Cuántas redirecciones
En qué momento hay un socket abierto
contra un recurso y por qué

32. Custom Metrics
[iframe-count]
return document.getElementsByTagName("iframe").length;
[script-tag-count]
return document.getElementsByTagName("script").length;
[meta-viewport]
var viewport = undefined;
var metaTags=document.getElementsByTagName("meta");
for (var i = 0; i < metaTags.length; i++) {
if (metaTags[i].getAttribute("name") == "viewport") {
viewport = metaTags[i].getAttribute("content");
break;
}
}
return viewport
NO se pueden añadir operaciones
asincronas :( Timers, Ajax requests etc ...

33. Performance
It's not just about adding more servers

35. REAL
USER
MONITORIN
G
Bring Up
RUM*
real user monitoring

37. Real User Monitoring

40. THINK BIG