Nov 14, 2019 | By Larissa McIntyre
ESL, a long time customer of Unomaly has been evolving alongside us. We interviewed them back in 2018 and decided to check in again. Thomas Poehler (Senior VP of IT) and Felix Feinhals (Head Site Reliability Engineer) sat down with us and took us through how they are using Unomaly now and how they see the company continuing to use Unomaly in future.
Jul 18, 2019 | By Gran Sandahl
Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail and YouTube. Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments.
Jul 8, 2019 | By Gustav Larsson
Back in January, we made a little CLI tool called uno available, that my colleague @alexandrepesant built. It takes log data and only shows what is a “unique” log line. It is a barebones tool showcasing one of the core parts of our product, anomaly detection, but using a simpler algorithm based on edit distance. As we saw quite a big interest when launching it, we wanted to see if we could make it available without the need to download a binary as well as giving it a proper home.
Jun 19, 2019 | By Tony Albanese
Over the past several weeks, we’ve been working on Unomaly 3.4. In this series of releases, we’ve dedicated our efforts to creating the tools to help you understand your complex environments, slice and dice your data and provide clues for where to look when things go wrong.
Jun 10, 2019 | By Vega Niketh
Our core focus is to make sure our product provides valuable insight about your infrastructure. One of our most prominent features, the filter bar, enables you to search your logs, provides suggestions and helps you filter and dig deeper into the most interesting data.
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.