There are plenty of existing algorithms for anomaly detection. Each of them have their own strength, but they often require a quite significant sample size in order to get an accurate detection.
In our latest release, Unomaly 3.0, we made significant improvement to our search functionality to make finding specific information easier by adding multiple values for the same filter type.
We built a small tool called uno, that's like uniq but for logs which helps you filter out the normal and only outputs things that are new - i.e. anomalies.
So, Unomaly had a hack week! After the last release, we decided to take the whole following week and let everyone work on whatever they want! The purpose was to encourage people to get creative and explore ideas ...