There are 2 challenges in observability. Uncertainty in prognosis decisions (false+ and false- in failure predictions) and discovering causal connections in diagnosis. We address this by modeling spatio-temporal uncertainty for prognosis& knowledge representation/ graph database for causal diagnosis Distributed systems are complex and are prone to failures. With more and more enterprises...
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