Conf42: Chaos Engineering 2021

Taming the spatio-temporal-causal uncertainty in Chaos Engineering and Observability

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...