Mar 19, 2019 | By Alexandre Pesant
Unomaly can detect and highlight change in your applications and infrastructure by separating the noise from the new data.
Mar 15, 2019 | By Ramon van Alteren
Recently, John Allspaw proposed an interesting thought-experiment in his talk at the devops enterprise summit: “Imagine your organization. What would happen if today at six o’clock all of your companies took their hands off the keyboard? They don’t answer any pages. They don’t look at any alerts. They do not touch any part of it, application code or networks or any of it. Are you confident that your service will be up and running after a day?”
Mar 12, 2019 | By Tony Albanese
At the heart of Unomaly, we are a group of engineers that want to get the value of anomaly detection in the hands of our peers. This is why we’ve decided to offer our product free for all engineers and start-ups for a maximum of 10 data sources. This free version of Unomaly is fully-featured. The only limit is the number of log sources you can analyze at any given time.
Feb 4, 2019 | By Michael Stöckli
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. This means you can search for more than one system, group, anomaly type or other conditions within a single search.
Jan 30, 2019 | By Unomaly
Unomaly 3.0 offers more ways to investigate the anomalies plaguing your environment by introducing the Anomaly Page. This page gives you a complete list of anomalies that have occurred across your entire environment, unlike the situations view, which are time-based clusters of anomalies based on each of your individual log sources.
Mar 18, 2019 | By Unomaly
Unomaly continuously learns from the streaming data produced by every aspect of your IT environment and surfaces new information or changes in patterns (such as accelerations of events, events lost, etc) that has not previously been identified. In this video tutorial we will show you how to investigate using Unomaly's raw list of anomalies from all of your log data.