Neil Menne on Elle: Inferring Isolation Anomalies from Experimental Observations

Link to Paper: https://raw.githubusercontent.com/jepsen-io/elle/master/paper/elle.pdf

Description: Starting with a level of snark we've come to know and love from the authors, Elle proposes a powerful, sound model of anomaly detection. This is accomplished by relating strict formalisms to weaker client-side observations, graphviz, and parentheses.

Speaker Bio: Neil is a Senior Backend Engineer Level I at Bleacher Report. When he is not keeping sports on the internet, he can be found wallowing in existential dread, reading papers such as this, and pining for sense data that is actually useful for his problems (both real and imaginary).