VKernel's Alex Rosemblat sits down with VP of Product Management Eric Jackson to discuss the proper employment of self-learning analytics.
Self-learning analytics are very helpful around certain metrics (utilization) and assuming that you are baselining against a stable, well-running environment
Self-learning is irrelevant for certain other metrics that measure contention or larger problems
Other techniques are needed in addition, for example, to capture changing trends that may not be immediately problematic, but imply that problems may be coming sooner than expected
In the end, any alert that something abnormal is happening needs to be interpreted, diagnosed and a remediation figured out. Self-learning provides an important source of alerting, but the rest remains.
Email Alex at arosemblat@vkernel.com for questions related to self-learning analytics.
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