www.friendscout24.de www.friendscout24.de
Getting page speed into the
heads of your organization
– a first hand report
Michael Maretzke
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How fast should your site be?
http://www.internetretailer.com/2009/09/15/the-new-page-loading-threshold-2-seconds
http://www.strangeloopnetworks.com/ resources/research/our-need-for-web-speed/
State of the union.
http://www.radware.com/stateoftheunion-fall2013
Why? might you bother
http://www.nngroup.com/articles/website-response-times/
People want to be in control.
… companies who make us wait instead of providing responsive service
seem either
arrogant or
incompetent
0.1s
1s
10s
instantaneous
seamless
lost context
Resp
on
se T
ime L
imit
s
http://www.nngroup.com/articles/website-response-times/
http://connect.phocuswright.com/2010/06/phocuswrightakamai-study-on-travel-site-performance/
57% of online customers will wait 3 seconds or less before leaving the site.
65% of 18-24 years old expect a
page to load in 2 seconds or less.
34% of online customers will less likely return to a site when experiencing technical issues.
Why? should you bother
5s faster pages
10% more revenue
http://assets.en.oreilly.com/1/event/29/Shopzilla%27s%20Site%20Redo%20-%20You%20Get%20What%20You%20Measure%20Presentation.ppt
http://assets.en.oreilly.com/1/event/29/The%20User%20and%20Business%20Impact%20of%20Server%20Delays,%20Additional%20Bytes,%20and%20HTTP%20Chunking%20in%20Web%20Search%20Presentation.pptx
http://www.exp-platform.com/Documents/IEEEComputer2007OnlineExperiments.pdf
100ms slower pages
1% less revenue
http://www.exp-platform.com/Documents/IEEEComputer2007OnlineExperiments.pdf
500ms slower results
20% less revenue
http://www.slideshare.net/stoyan/yslow-20-presentation
400ms slower pages
9% drop in full- page traffic
http://blog.mozilla.org/metrics/2010/04/05/firefox-page-load-speed-%E2%80%93-part-ii/
2.2s faster download pages
60m additional downloads
Why did we care?
decrease increase
Get it into the
heads
Give it a face.
Strategy. Technology. 2013 Technology Goal.
Two – 4 – Twohundred T – Deliver any web page within 2 seconds to our customers.
4 – Deliver any mobile web page within 4 seconds to our customers over 3G.
T – Any request over the REST API is answered below 200 milliseconds.
Awareness Speed matters
endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++ endless repetition +++
Tell people what IS
important to you.
Page Load Time
Page Weight Web TX Time Apdex
(server + network + DOM + rendering)
(#requests + bytes)
(TX duration)
(satisfied req <= T | tolerating req > T | frustrated req > (4xT))
satisfied reqs + (tolerating reqs / 2)
total # of requests Apdex = T=2
Measure your KPI‘s.
Talk about the KPI‘s.
What did we do? Technically.
Titel der Präsentation | Autor der Präsentation
Seite 36
replace icons with webfonts
decrease #of AJAX requests
refactoring views
introducing caches
re-think models
optimize server
load externals asynchronously
External dependencies asynchronously and / or after onLoad() …
400 ms saved.
load externals asynchronously
50% of server side load time spent on queries.
re-think models
921 queries
21 queries
12x faster
re-think models
What did we gain?
Result.
Page load time reduction: -27%
Result.
App server response time: -25%
Impact.
-24% less profile resigns
Impact analysis on data set for Nov. 12 – Mar. 13
more messages +71% revenue Secret = f(activity ) Secret
activity Secret = f(messages, searches, profiles, pictures, …)
November
2012
January
2013
March
2013
December
2012
February
2013
User Perception of Performance
User Perception of Performance
Impact analysis on data set for Nov. 12 – Mar. 13
Big impact and positive measureable reaction after single architecture rework release.
Low impact and no measureable reaction on continuous improvements.
Titel der Präsentation | Autor der Präsentation
Seite 46
So, Web Performance …
… is a business differentiator … comes hand-in-hand with an
engineering culture … takes time to get it into the heads
of your organization
• http://www.flickr.com/photos/4x4paper/4282422565
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• http://www.flickr.com/photos/hamillianactor/362021036
Q&A
