I find that site super slow to load (the graphs and images) and a bit hard to interpret. Can somebody give a little explanation about what we are seeing and what the different variables measured mean?

On Wed, Apr 15, 2015 at 7:27 PM, Jon Robson <jdlrobson@gmail.com> wrote:
It would be good to get desktop and mobile in the same graph so we can
compare the two.
If I'm reading correctly this is all rather depressing - we are pretty
much the same as desktop despite being an environment which should
explicitly do better?


On Wed, Apr 15, 2015 at 7:02 AM, Sam Smith <samsmith@wikimedia.org> wrote:
> Hey y'all,
>
> As part of Mobile Web Sprint 45: Snakes on a Plane, the Readership team
> picked up a spike to investigate what data, if any, we were logging around
> site speed [0], given the existence of the mobile graphs over at WMF stats
> [1].
>
> After a little poking around I found that all of the NavigationTiming data
> that's collected by the eponymous extension is already separated out into
> desktop and mobile series in Graphite [2]. Any or all of these series can be
> graphed in gdash by defining our own graphs [3].
>
> With this in mind I've closed the tasks to design and implement our own
> event logging for site speed as invalid – don't you just love it when work's
> already done for you?
>
> Furthermore, if we find, some time in the future, that we want do refine the
> data that's being collected, then we have a clearly defined workflow: design
> the schema with the help of analytics, instrument the schema, and then
> define a graph. You'll note that only the first step requires collaboration
> (i.e. synchronisation) with another team. Woo!
>
> –Sam
>
> [0] https://phabricator.wikimedia.org/T95296
> [1] https://gdash.wikimedia.org/dashboards/frontend/
> [2] https://graphite.wikimedia.org – have a good look around frontend -
> navtiming
> [3]
> https://github.com/wikimedia/operations-puppet/tree/production/files/gdash/dashboards
>
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>



--
Jon Robson
* http://jonrobson.me.uk
* https://www.facebook.com/jonrobson
* @rakugojon

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