LiveRamp Engineering Blog

When using Cascading to run MapReduce jobs in production, the most common exception we find in our job logs look like this:

Caused by: cascading.flow.FlowException: step failed: (1/1), with job id: job_201307251526_37599…

While Hadoop has a number of tools available to make sure cluster resources are allocated intelligently (such as the fair scheduler and the YARN project), we’ve found that for time-critical issues these tools don’t always give enough granularity of…

Our build environment at LiveRamp includes quite a few actively developed library projects, both open-source and internal. Since engineers are often coordinating changes between libraries and downstream projects when adding or refactoring…

LiveRamp started out using Ruby and Rails extensively to build out our systems. We loved the flexibility that it gave us to quickly put together a functional application. Tools like ActiveRecord are huge productivity boosters, saving us the trouble of hand-coding…

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