Hi, If you are as far as to send your data to statsd (hopefully this is the same statsd other teams are using), wouldn't the already functioning graphana stack will suffice for your graphing needs?
Dashboard: http://grafana.wikimedia.org/#/dashboard/file/default.json Some graphs: http://grafana.wikimedia.org/#/dashboard/db/kafka Thanks, Nuria On Fri, Jan 9, 2015 at 9:20 PM, E.C Okpo <[email protected]> wrote: > Hi, > > In terms of where the data will be coming from, it will be coming from > node-txstatsD, a port of statsD/node-statsD, a statsD client. I had > previously been working on using Event Emitters in conjunction with statsD, > but node-txstatsD seems to solve the task of obtaining and sending timing > to a visualization front-end. > > The data to be visualized will be timing (in ms), counts, and maybe > sizes(KB, MB). > > Based on this, what would be the recommended front-end to then visualize > the information? > > Message: 1 >> Date: Tue, 30 Dec 2014 07:37:35 -0800 >> From: Nuria Ruiz <[email protected]> >> To: "A mailing list for the Analytics Team at WMF and everybody who >> has an interest in Wikipedia and analytics." >> <[email protected]> >> Subject: Re: [Analytics] Performance Visualization Frontend >> Message-ID: >> < >> campyykg4avnlfjl3p6+a2mh3gtcnth7oxu+hagfsdaa_ig2...@mail.gmail.com> >> Content-Type: text/plain; charset="utf-8" >> >> Hello, >> >> The more important question is where will your data come from: event >> logging? graphite? elsewhere? visualization comes secondary to this. >> >> EventLogging is a good solution for structured, somewhat complex, >> application data, graphite is s good solution for plain counters, which is >> well suited to perf data. Let us know if you already have data and we can >> proceed from there. >> >> Thanks, >> >> Nuria >> >> >> > > > > > _______________________________________________ > Analytics mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/analytics > >
_______________________________________________ Analytics mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/analytics
