We can now see where technical issues extend beyond the initial error because we can cross-reference events across multiple servers and systems from one central interface.

Båstads Kommun is a small municipality located on the west coast of Sweden

The council provides a number of social services to approximately 15,000 local residents

IT team has been forced to rely heavily on manual processes

Unomaly has become such a vital aspect of infrastructure management, that the team now connects every new system to Unomaly as soon as it is deployed.

Faced with an ongoing lack of resources, particularly time and budget

It's difficult to imagine our infrastructure without Unomaly.

Creates and promotes global esports events

Needed a real-time log analysis tool to prevent issues impacting service performance

Unomaly allows engineers to root-cause and address issues before they escalate

Before Unomaly, engineers had to manually search log files to identify potential problems. This meant issues were often found after service performance had been affected.

Global eSports network improves service performance with Unomaly

Before working with Unomaly, we waited for incidents to happen before accessing our log data. Now we find problems as they occur. In many cases we have been able to fix problems before they affect our users.

Sweden's largest B2B real estate company

Market value of properties approx. SEK 127 billion

With Unomaly, Vasakronan can spot incidents as soon as they occur and resolve them before their users are affected. Unomaly’s scoring feature for detected anomalies allows them to prioritize, focusing on the most critical issues first. This allows Vasakronan to be more agile instead of scrutinizing every detail. They also integrated Unomaly with Microsoft Teams to collaborate with colleagues and IT outsourcing partners on their findings.

Running a leading real estate company with Unomaly

We estimate that Unomaly saves us around a day per week.

When Unomaly promised us that the system required virtually zero manual input, we were sceptical. We've heard all those promises before, and they've never been true. But this time, things were different.

30-strong DevOps team overseeing global IT infrastructure

Unomaly has helped ESL Gaming dramatically improve the performance of both development and operations teams, enabling the final transition to a DevOps model. Monitoring log files from over 300 hosts, Unomaly allows ESL Gaming to focus on the critical issues, saving the DevOps team an estimated one day per week and allowing them to focus on improving their services.

How Unomaly helps ESL manage a global gaming network

Because I can’t imagine life without Unomaly, I regularly recommend it to other CTOs and IT managers I know professionally.

Provides eCommerce platforms and processes for online retailers

Offers strategic consulting services and brand development

Unomaly allows Panagora to manage and maintain global eCommerce operations with a team of only 30 people. With Unomaly, Panagora is able to focus their time and effort on the critical issues so that the IT team can fix every problem without having to look for it and instead spend resources on improving their services, driving the business forward.

Managing a global portfolio of client websites with Unomaly

Identifies recurring patterns in structures, source and frequency 

Alerts when new events don’t fit established patterns 

Creates time-based groupings of anomalies to spur investigations 

Unomaly establishes a baseline of your entire infrastructure and starts alerting you to the changes in your deployment after a couple of days 

As log events stream in, Unomaly records a profile for each log event with information about the event’s structure, sources, frequency patterns and intervals. Each collection of profiles describes the baseline for a log source in your environment. 

Training completes after a couple of days, but analysis and learning continues as long as Unomaly receives additional data. 

During analysis of a log event's structure, similar profiles are merged into one aggregated profile with dynamic parameters. Because the majority of log events have the same or similar structure, this merging process reduces the amount of data to analyze by at least 99%. 

Unomaly determines whether incoming log events are different from previously seen profiles, first based on their structure and then based on other criteria: dynamic parameters and frequency patterns. 

Events that do not fit into established patterns of log structures.

Unique values occur within an previously identified event profile

Increases or decreases of the rhythm of a an event.

Cluster anomalies into actionable situations 

When anomalous events occur within a rolling 60 second window on a single log source, Unomaly clusters them together into a situation. Situations receive a score that is based on the type and number of anomalies. 

Situations are tracked per log source to immediately see the health of that system to start your investigations.  Drilling down into the individual anomalies that are part of the situation and surrounding event profiles will provide additional context. 

Dive deeper into how Unomaly works in our product documentation. 

All log data must be analyzed without concern for source, structure or format because it is the most context-rich information about your environment and the only way to have a complete view. 

Unomaly must stay up-to-date and relevant within our customers’ ever-evolving data centers, therefore we update our models of your data as new logs arrive. 

Working with data comes with responsibility. Unomaly was built from the ground up with privacy and compliance in mind. As Unomaly reduces data we only keep what is important to help you avoid harboring sensitive data. 

You should have full visibility but only need to review a fraction of the data. Unomaly is designed to reduce repeating data to protect your infrastructure and team from the spikes and burdens of scale. 

Many factors make data anomalous. Unomaly takes this into account and is designed to detect different types of anomalies in real-time to paint a complete picture of every issue. 

Software systems should not need continuous maintenance. Unomaly deploys close to where you run your software, automates analysis and effectively reduces data algorithmically. 

Unomaly algorithmically analyzes log structures and frequency to identify anomalies 

Unomaly algorithmically analyzes log structures and frequency to identify anomalies

Profile events from log structures

Flag anomalous events

Cluster events into situations

How Unomaly Works

Profile events from log structures

Flag anomalous events

Structural

Parameter

Frequency

Cluster anomalies into actionable situations

Core beliefs in our technology

Universal Data Tokenization

Rapid Progressive Learning

Data Privacy and Integrity

Data Reduction Pipeline

Multi-type Anomaly Detection

Flexible and Self-managing