Google Cloud Platform offers a basic set of monitoring capabilities baked into the platform. Virtually anything that runs on top of GCP will get basic monitoring through health checks, basic alerting and basic log management.
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.
By using the filter bar, it is easy to find value when you know exactly what you are looking for and drill down to learn more. However, what about cases when the user does not know what they are looking for? How can they find the signal when there is clutter hiding it?
Logs are generated everywhere, ranging from the printer in the corner of your office to your new application architecture running docker containers on top of Kubernetes — Regardless, to analyze any of those logs, you need to send these logs over your network to Unomaly.
Workflows answer the simple question, “what are my systems doing?” by providing you with a simple way to gain a deeper understanding of your infrastructure.
Our new OpsGenie plugin for Unomaly will help users of both products stay on top of their anomalies.
Unomaly 3.3 opens the floodgates of experimentation where we can test new product features with our customers and users.
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.
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 & start-ups for a maximum of 10 data sources.
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.