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Architecture part 1 | Brown bag

http://brownbag.springmetrics.com/2012/03/architecture-part-1

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. March 9, 2012. In a previous post. I talked a little about our data collection pipeline and some of the software we use. In this series of posts I’ll go into the details of how we use various tools and why we chose them. I’ll also describe some issues we have with our current architecture as well as problems we have faced along the way. The first piece of our architecture is data collection. This post. To alle...

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fun | Brown bag

http://brownbag.springmetrics.com/tag/fun

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. March 2, 2012. Here at Spring Metrics, we like to have fun. That includes programming with experimental technologies, playing foosball, and messing around from time to time. We’ve built up a bit of a prankster culture here, but always in good fun. Here are a few of the pranks we’ve pulled around the office. Covered a coworker’s desk with poker chips. Had a coworker’s computer speak to him. Some of our engineer...

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Nate Massey | Brown bag

http://brownbag.springmetrics.com/author/nate

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. Author Archives: Nate Massey. March 2, 2012. Here at Spring Metrics, we like to have fun. That includes programming with experimental technologies, playing foosball, and messing around from time to time. We’ve built up a bit of a prankster culture here, but always in good fun. Here are a few of the pranks we’ve pulled around the office. Covered a coworker’s desk with poker chips. Tweaked a coworker’s ema...

brownbag.springmetrics.com

March | 2012 | Brown bag

http://brownbag.springmetrics.com/2012/03

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. Monthly Archives: March 2012. I think we’re going to need a bigger boat. March 23, 2012. At Spring Metrics, the engine that drives our Smart Offers. Products is analytics. Effectively segmenting your customers means knowing who they are, and knowing who they are means collecting data about them. Lots of data. Early prototypes of our analytics engine relied heavily on Amazon’s RDS. We evaluated a wide variety o...

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Making numbers sortable | Brown bag

http://brownbag.springmetrics.com/2012/05/making-numbers-sortable

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. May 4, 2012. We have a cool feature on our dashboard where our users can export their sources, keywords, and landing pages to CSV. In order to support this operation we had to build cursors. Cursors have access times so that they can be cleaned up after some period of inactivity. All cursors are stored in our distributed Hypertable. Cluster so they are accessible from any one of our backend servers. And the fu...

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The life of a ping | Brown bag

http://brownbag.springmetrics.com/2012/02/the-life-of-a-ping

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. The life of a ping. February 23, 2012. The most basic unit of data at Spring Metrics is a “ping.” Each visitor of a website sends periodic updates to our servers containing information about the user and the page they are visiting. This ping then enters the collection pipeline for processing. Each ping is basically a heartbeat to let us know that a user is still active. A background task (Indexer) handles inde...

brownbag.springmetrics.com

I think we’re going to need a bigger boat | Brown bag

http://brownbag.springmetrics.com/2012/03/i-think-were-going-to-need-a-bigger-boat

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. I think we’re going to need a bigger boat. March 23, 2012. At Spring Metrics, the engine that drives our Smart Offers. Products is analytics. Effectively segmenting your customers means knowing who they are, and knowing who they are means collecting data about them. Lots of data. Early prototypes of our analytics engine relied heavily on Amazon’s RDS. 8221; we decided it was time for a change. We evaluated a w...

brownbag.springmetrics.com

Office-safe pranks | Brown bag

http://brownbag.springmetrics.com/2012/03/office-safe-pranks

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. March 2, 2012. Here at Spring Metrics, we like to have fun. That includes programming with experimental technologies, playing foosball, and messing around from time to time. We’ve built up a bit of a prankster culture here, but always in good fun. Here are a few of the pranks we’ve pulled around the office. Covered a coworker’s desk with poker chips. Had a coworker’s computer speak to him. Some of our engineer...

brownbag.springmetrics.com

Here, just install this little JavaScript snippet … | Brown bag

http://brownbag.springmetrics.com/2012/02/here-just-install-this-little-javascript-snippet

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. Here, just install this little JavaScript snippet …. February 17, 2012. JavaScript can do a lot of powerful things on a page, including:. Track where a user points his/her mouse. See what a user clicks on. See how far a user scrolls (ever notice those ads that pop out when you scroll down to a certain point on a page? Read a user’s cookies. Not all cookies; usually just for the current site). Online services t...

brownbag.springmetrics.com

May | 2012 | Brown bag

http://brownbag.springmetrics.com/2012/05

Spring Metrics Engineers, doing what we do. Skip to primary content. Skip to secondary content. Monthly Archives: May 2012. May 4, 2012. We have a cool feature on our dashboard where our users can export their sources, keywords, and landing pages to CSV. In order to support this operation we had to build cursors. Cursors have access times so that they can be cleaned up after some period of inactivity. All cursors are stored in our distributed Hypertable. So how do we sort this data? And the function to g...