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Measuring Performance

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and and and and and and the how fewer I have nothing to fear area and and today we talked about of measuring performance with the use of an API which you want to crawl which like that that works in this ball those for other browsers do that in other places if you will this is more like a quick
story about my tinkering experimentation in and out of a lot about the thing that pixel how would outcome in and out so you you can actually see the Justice what I lecture today already posted over there some ecologists Jan through some information i've already shared or local media so my
curiosity about performance can is combined with the conviction that performance matters like such a major things and possibly take some observations and make decisions about what I'm majoring I am not very scientific about it yeah and I've learned that get better so this is also kind of a demonstration of you know learning from yourself and how you can improve in answer must support from the people there are staying with us are there in the house but I want to compare you know had a
Moslem . 3 in Additional lots and see if there was any genes in the application that like to tinker with my evenings and weekends in case you missed it now we have additional marginal I think you guys to the force really free from the fear of bacteria and things like
that of so we actually get a major on the performance metrics for rendering a template and so then talking about members primitives and we have a router that has this great hope for rendering the template and apparently everything's done and ready to go in this work so right there I can just mark the time majoring in down but what about after like when is it done so it has been done at some point all and you can it tells me is that enter the after rendered you that's that's done so I can just capture that major men tend no at that timing should be useful but the so this is a time stamp was a something better enough I started
searching and account user time EPI which has like high resolution timing in multi source of millisecond resolution of like that's probably faster than I can think like that school that
but so where I realize that I was capturing the things that I could just send them to Google Analytics and they can do nice reporting in charts for me so I'm going to send some of that data there is was captured my own
database of so I clinics and and show you a quick sense really
easy now you may want to try it but it's super simple right to mark the beginning and the end in there's 2 points when enter this this vote and then after when you tonight is to capture this measurement so I also have a utility on
of a certain distance and reports on 1 of its too slow on so
this is utilities right like does when the performance exist so I can fail silently if it doesn't exist at that does I can use that API to to mark a major so you learn more about that despite beginning in research in a library has some links were Russia with you after and then I wanted to reported numbers can like postage my API send measurements that use on documents also send it to Google Analytics for tracking purposes on the gamma
controls could now because it's available on my website in again you'll find the links for you know these performance appears as well some
great tutorials from what each of 5 rocks and that's kind of where I started as well as I have a few accidents few that sound very analytical like whenever he she was ready in image of useful
sometimes I dig into these metrics of more but this is just the just the kind of what I'm capturing what was important for me was this duration values and that there is something that I can compare so what
we might ask how would I find it on
honestly I can't really tell you because all they
did was observed the findings in on the I didn't really
study on proper benchmarks so results and helped me realize that history is all sort into about it this is probably a better way to like
come up and summarizes data by using
you know normalize data and actually a geometric mean of was kind of look at like what was
fast in what was slow and can show me some
averages and you that might help me a little bit deeper on somebody
that X right on the phenomena just like jam through a couple quick measurements is the highly
like his Lysol on In not
even talk about him because like I said at this point they're just observations and not
necessary conclusions but in a way like now I
have something in my and that matters to my users that I
can at least observed and on at
some point do something about so the command
time the vise OK but there's more of a lot so you can reverse the initiation and will the the
Flächeninhalt
Browser
Streuungsdiagramm
Fokalpunkt
Hypermedia
Luenberger-Beobachter
Messprozess
Biprodukt
Dienst <Informatik>
Information
Template
Web log
Endogene Variable
Entscheidungstheorie
Zeichenkette
Schnittstelle
Punkt
Linienelement
Forcing
Template
Programmschema
Router
Messprozess
Primitive <Informatik>
Zeitstempel
Konstruktor <Informatik>
Web log
Multiplikation
Bildauflösung
Google Analytics
Messprozess
Quellcode
Verkehrsinformation
Bildauflösung
Abstimmung <Frequenz>
Explosion <Stochastik>
Punkt
App <Programm>
Datenhaltung
Konfigurationsraum
Default
Linienelement
Datenmodell
Volumenvisualisierung
Indexberechnung
Programmierumgebung
Funktion <Mathematik>
Rechter Winkel
Statistische Analyse
Messprozess
Bildschirmsymbol
Einflussgröße
Softwarewerkzeug
Zahlenbereich
Volumenvisualisierung
Programmierumgebung
Binder <Informatik>
Rendering
Template
Funktion <Mathematik>
Programmbibliothek
Google Analytics
Messprozess
Abstand
Gammafunktion
Verkehrsinformation
Einflussgröße
Web Site
Linienelement
Gamecontroller
Addition
Messprozess
Binder <Informatik>
Template
Unendlichkeit
Socket
Linienelement
Linienelement
Versionsverwaltung
Relationentheorie
Beobachtungsstudie
Resultante
Statistische Analyse
Räumliche Anordnung
Messprozess
Eigentliche Abbildung
Benchmark
Relationentheorie
Geometrisches Mittel
Bit
Rechter Winkel
Mittelwert
Linienelement
Indexberechnung
Mobiles Internet
Paarvergleich
Messprozess
Einfügungsdämpfung
Einflussgröße
Homepage
Punkt
Linienelement
Indexberechnung
Luenberger-Beobachter
Homepage
Linienelement
Indexberechnung
Homepage
Mailing-Liste
Punkt
Linienelement
Benutzerführung
Homepage
Videokonferenz
Streuungsdiagramm
Offene Menge
Linienelement
Dienst <Informatik>
Ereignishorizont
Benutzerführung

Metadaten

Formale Metadaten

Titel Measuring Performance
Serientitel Ember Conf 2015
Autor Heaton, Bill
Lizenz CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
DOI 10.5446/34737
Herausgeber Confreaks, LLC
Erscheinungsjahr 2015
Sprache Englisch

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