Introducing Glance

February 21, 2013 at 9:36 pm | Posted in opensource | Leave a comment
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Glance is a new open source project from BlueMountain Capital.

Glance, a metrics dashboard

Glance is the dashboard that we’ve developed internally to take advantage of the metrics captured by Riemann and the metrics that are available through Graphite.

Currently, Glance is only able to look at the data that is exposed through Graphite. We are working on adding in support Riemann’s websocket protocol, which will also enable real-time metrics to be pushed out to the dashboard.

Get your focus back

Glance hides the navigation after you have selected your dashboard. Mousing over the navigation tab will cause it to reappear.

This small feature allows more space for the metrics to take up on your screen. Once you have a dashboard selected, Glance gets out of the way so that you can focus on the metrics.

Search here, search there

glance-search

The search box will search the metrics display on the page as well as those on the server. This allows quick filtering of metrics as well as finding metrics not included.

Easily define new dashboards

Glance uses a JavaScript API to define new pages, allowing for easy deployment and usage.

glance.page("cpu","CPU")
      .find("*.cpu")
      .asPercent(1.0)

All in browser

Glance uses HTML5 technologies to push the logic of metric capture and dashboard creation to the user’s browser. This enables a static page to be served by the server and quick load on the client side.

We’ve tried to use the best technologies that are suited for our use case. These technologies include:

Contributing

Glance is open source, under the Apache License. Feel free to fork Glance, submit issues on our GitHub page.

Announcing the F# R Type Provider

August 1, 2012 at 2:52 pm | Posted in opensource | 24 Comments
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Here at BlueMountain we like to perform statistical analysis of data.  The stats package R is great for doing that.  We also like to use the data retrieval and processing capabilities of F#. F#’s interactive environment lends itself pretty well to data exploration, and we can also easily access our existing .NET-based libraries.  Once we are done, we can build and release production-supportable applications.

Nothing on the .NET platform competes with R for statistical functionality, so we set about bridging the gap between F# and R.  F# 3.0 provides a nice innovative mechanism for doing this, through Type Providers.

We have released an Open Source RProvider on github.  Here’s an example of how to use it:

// Pull in stock prices for some tickers then compute returns
let data = [
    for ticker in [ "MSFT"; "AAPL"; "VXX"; "SPX"; "GLD" ] ->
        ticker, getStockPrices ticker 255 |> R.log |> R.diff ]

// Construct an R data.frame then plot pairs of returns
let df = R.data_frame(namedParams data)
R.pairs(df)

Any of the calls above that begin R. are actually evaluated inside the R engine.

This produces a lovely pair plot like this:

While we intend to continue to enhance the provider to meet our needs, we really hope others will do the same.  If you use F# and work in the statistical/econometrics space, please try it out.  If you use R and are looking for a robust environment in which to develop applications, also try it (and F#) out.  If you have ideas for improvements, please feel free to share them with us.  And if you develop enhancements/fixes, please submit a pull request!

The RProvider is built on the RDotNet project, which handles all the gnarly interop with unmanaged data structures used by R.DLL.  The Type Provider provides an easy-to-use layer on top of that to use R from F#.  Many thanks go to the RDotNet author, Kosei.

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