It's like uniq for log data, but with fuzziness!
Upload any text (utf-8) log file.
Drop log file here
or
Note: Your data will never leave your computer, we packaged Uno into the browser using WebAssembly.
Pipe any streaming data into uno:> log stream | uno
Or, run uno on a file:> uno filename.log
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Due to the volume and repetitive nature of log data it is hard to actually review it and find the clues you are looking for - relevant things are lost in the flood of normal.
Uno helps you filter out the normal and only outputs things that are new - i.e. "anomalies".
Read more about Uno in our blog.
Uno measures the similarity of two log lines using the edit distance between them. With this you can set a maximum difference threshold to determine whether a line is new or not (default is 30%).
At its core, Unomaly separates the repetitive log data from the anomalous data, so that you can focus on what's new or different. It comes with a full set of features to explore and stay on top of your entire infrastructure together with your team.
Uno is a free, but barebones tool that we built to illustrate the core concept of Unomaly. It uses a different and simpler algorithm, but holds value on its own. Unomaly is also free to analyze up to 10 log sources.