Log and other machine data form one of the big cogs in big data today. For some time, analyzing such data has been a part of data managers’ efforts to gain a better view of customer activity. But big data tools for log analysis are only beginning to serve in some areas — one of which is IT itself.
IT operations analytics is an emerging discipline that taps into Hadoop, Spark and other big data tools to provide a deep, real-time view of how servers and networks are performing. The lowly log provides the impetus for the journey.
While IT administrators have been gathering system performance data for a long time, they — like others in other areas — have not always been able to successfully analyze what that data means to actual operations. As this podcast’s participants remark, IT pros are often like the mythical cobbler’s children in this regard.
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