Unomaly Joins Forces With LogicMonitor to Improve Observability for End Users, Deliver Insight and Intelligently Drive Action
Jan 13, 2020 | By Johan Gustafsson
Happy New Year! We’re starting 2020 with some exciting news. We are pleased to announce that as of today, Unomaly has become part of LogicMonitor, the leading global provider of infrastructure monitoring and intelligence across both on-premise and cloud.
Dec 16, 2019 | By Alexandre Pesant
Unomaly extracts the structure of unstructured logs to match them to what we call profiles and detect never before seen events in your infrastructure. While very heavily hyped and marketed by the new players, observability represents a significant shift in the way we try to make our software reliable. This shift needs to happen for a simple reason: we don’t (can’t?) understand our systems anymore.
Dec 11, 2019 | By Tony Albanese
2019 has been a year of tremendous progress at Unomaly. This year we introduced weekly releases and have been quickly iterating on our feature set. Now that the year is coming to a close we wanted to take a look back at how Unomaly has changed. We’ve tripled our key feature set to give you exponentially greater context when investigating incidents using your log data and understanding your software’s running state to discover unknown aspects of your infrastructure.
Nov 27, 2019 | By Tony Albanese
For the past few months, we have quietly tested a new way to run Unomaly on any platform that supports DockerCE with a few of our customers. Now we are opening our alpha program, codenamed Amelia, to anyone who is interested. We are testing this new way to run Unomaly because we are committed to making it easier to run our software in modern cloud environments. This is a first step towards a docker based deployment model, which will allow you to run Unomaly on top of Kubernetes in the future.
Nov 20, 2019 | By Larissa McIntyre
We’ve spoken to some engineers that have expressed they find log data boring. Boring? We say it’s far from boring, it’s the most contextually rich data we have, but is often ignored because of its volume and how unmanageable it can be for humans to work with. However, without automating the process and having logs pre-analyzed, one could see how this could be the perception.
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.