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Going Multi-Cloud with AWS and GCP: Lessons Learned at Scale August 15th, 2017 Charles Allen Metamarkets handles a lot of data. The torrent of data that clients send to us surpasses a petabyte a week. At this scale, the ability to failover gracefully, to detect and eliminate brownouts, and to efficiently operate huge quantities of byte-banging machines is necessary. We started and grew Metamarkets
All is well and good if we content ourselves with computations that can be distributed efficiently such as summing hourly revenue to produce daily revenue, or calculating click-through rates. In the language of Gray et al., the former calculation is distributive: we can sum the raw event prices to produce hourly revenue over each combination of dimensions and in turn sum this intermediary for furt
Radical Transparency for Your Programmatic Data Our interactive analytics tools put the full power of data navigation and visualization into the hands of marketers. CONTACT USLEARN MORE Let us Tell You Why, not What Traditional analytics tools tell you what is happening in your marketplace with predetermined data sets. Metamarkets is the only interactive analytics platform that gives you real-time
Three months ago, we decided to tear down the framework we were using for our dashboard, Python’s Django, and rebuild it entirely in server-side JavaScript, using node.js. (If there is ever a time in a start-ups life to remodel parts of your infrastructure, it’s early on, when your range of motion is highest.) This decision was driven by a realization: the LAMP stack is dead. In the two decades si
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