By Philip Tellis and Nic Jansma
Whenever we speak of measuring web performance, we always refer to measuring static events, whether the old page-load model, the controversial above-the-fold time, or the product-specific “time to first tweet.” Each of these have their pros and cons ranging from ease of implementation to relevance to the actual user’s experience.
But a performant user experience is much more than these static events, and no methods measure the experience the user has interacting with the page after that initial event. We seldom measure the experience of the user when they spend the most time on the site (i.e., between load and unload, when they’re reading and interacting with content on the page, etc.) or ask questions like: Was scrolling smooth or janky? What about animations? Did the user click expecting something to happen but nothing did? Are too many reflows happening?
Drawing on their work on boomerang, Philip Tellis and Nic Jansma explore new methods of measuring web performance as it relates to continuous interactions between the user and a page.
Dow Fire and Explosion Index (Dow F&EI) and Mond IndexEvonne MunYee
Introduction on Dow Fire and Explosion Index (Dow F&EI) & Mond Index. Explain the objectives of the index and steps to obtain the index. Mond Index is an extension of Dow F&EI.
Measuring Real User Performance in the BrowserNicholas Jansma
To people responsible for the health of web properties, monitoring, measurement, and analysis of real-user experiences is key to delivering a consistent and delightful experience. Drawing on their experience with the open source boomerang project, Philip Tellis and Nic Jansma explore various tools and methods available to measure real-user performance in the browser.
Topics include:
Available browser APIs: Navigation Timing, Resource Timing (Levels 1 and 2), User Timing, Error Logging, and more
Measuring full-page apps
Measuring single-page apps
RUM SpeedIndex
Measuring continuity
Hacks when an API isn’t available
Avoiding the observer effect
Filtering data to get rid of noise
Identifying outliers and treating them differently
By Philip Tellis and Nic Jansma
Whenever we speak of measuring web performance, we always refer to measuring static events, whether the old page-load model, the controversial above-the-fold time, or the product-specific “time to first tweet.” Each of these have their pros and cons ranging from ease of implementation to relevance to the actual user’s experience.
But a performant user experience is much more than these static events, and no methods measure the experience the user has interacting with the page after that initial event. We seldom measure the experience of the user when they spend the most time on the site (i.e., between load and unload, when they’re reading and interacting with content on the page, etc.) or ask questions like: Was scrolling smooth or janky? What about animations? Did the user click expecting something to happen but nothing did? Are too many reflows happening?
Drawing on their work on boomerang, Philip Tellis and Nic Jansma explore new methods of measuring web performance as it relates to continuous interactions between the user and a page.
Dow Fire and Explosion Index (Dow F&EI) and Mond IndexEvonne MunYee
Introduction on Dow Fire and Explosion Index (Dow F&EI) & Mond Index. Explain the objectives of the index and steps to obtain the index. Mond Index is an extension of Dow F&EI.
Measuring Real User Performance in the BrowserNicholas Jansma
To people responsible for the health of web properties, monitoring, measurement, and analysis of real-user experiences is key to delivering a consistent and delightful experience. Drawing on their experience with the open source boomerang project, Philip Tellis and Nic Jansma explore various tools and methods available to measure real-user performance in the browser.
Topics include:
Available browser APIs: Navigation Timing, Resource Timing (Levels 1 and 2), User Timing, Error Logging, and more
Measuring full-page apps
Measuring single-page apps
RUM SpeedIndex
Measuring continuity
Hacks when an API isn’t available
Avoiding the observer effect
Filtering data to get rid of noise
Identifying outliers and treating them differently
3. Dànae quedés
embarassada, va
tancar-la en un
soterrani de
bronze, ben
vigilada. Zeus va
aconseguir entrar-
hi a través d'una
esquerda del
sostre, un cop
transformat en una
Perseu. pluja d'or, que la
va fecundar. Va
4.
5. Quan Zeus va intentar
seduir una
sacerdotessa d'Hera
anomenada Io , aquesta
va fugir. El déu es va
convertir en una densa
boira per atrapar-la i
prendre-li la
virginitat.
Posteriorment va
transformar la noia en
Èpafos
una vedella per
amagar-la de la ira
7. Cal·listo era una nimfa del bosc, una de les
companyes d'Àrtemis que havien fet vot de
virginitat. Va ser seduïda per Zeus sota la forma
d'Àrtemis i en va quedar embarassada. Un
dia,les seves companyes es van banyar en una
font, Cal·listo es va veure obligada a
despullar-se i a descobrir el seu embaràs.
Àrtemis la va castigar per trencar el seu vot
transformant-la en ossa.
Àrtemis
9. Alcmena era la fidel
esposa d'Amfitrió. Zeus se'n
va enamorar i per posseir-
la va prendre l'aparença
d'Amfitrió quan aquest era a
la guerra. D'aquesta manera
van passar la nit junts. Va
néixer Hèracles.
11. Zeus es va enamorar
de Leda, l'esposa del rei
d'Esparta, Tindàreu, i s'hi va unir
sota la forma de cigne. Però, com
que tot seguit va ser posseïda pel
seu marit, va quedar embarassada
de tots dos. D'aquestes dues unions
va pondre dos ous, dels quals van
13. Ganimedes era un
adolescent troià
que feia de
pastor. Era el més
bell dels
mortals, tant que
Zeus se'n va
enamorar
i, transformat en
una àguila, el va
raptar i se'l va
endur volant fins
a l'Olimp. Allà
dalt va esdevenir
Ganimedes
el coper de Zeus: