Whether you're experimenting with Hadoop or have a production deployment, you've likely had that frustrating moment when the system is not working properly and you can't figure out why. Hadoop is a distributed system, and the truth is, distributed systems don¹t fail like your typical application.

Hadoop is far more likely to falter than quickly fail. Problems in Hadoop develop as a series of small events that build over time in unpredictable‹and invisible ways. Developers and operations teams need to see the impact of changes in a timely, meaningful way that traditional monitoring methods cannot see.

In this video, we'll will discuss:

1. The key reasons Hadoop deployments stumble and fail
2. New monitoring techniques that can detect problems developing and proactively head off issues
3. Boundary's innovative approach to Hadoop and big data application management

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