AIOps platform for monitoring, collecting, processing data and intelligent process automation
UX quality control
Learn about performance drops and crashes before your customers through continuous testing of your interfaces and end-to-end processes.
Root cause analysis
Collect data from all levels of architecture from containers and virtual machines to interfaces and usage logs and quickly find the root problem.
Any source of data
Quickly connect the many available IT monitoring systems and other data sources from data lakes to IoT controllers
Minimize manual labor; all typical processes can be automated using a our scripted automation platform
We will help your IT service work more efficiently
We offer your team a complete set of AIOps tools for the efficient operation of your services
Our service will help you quickly find the most important of thousands of events. Find out about all suspicious deviations faster than users with machine learning.
Intelligent data clustering
Get rid of the noise of garbage alerts. Gathering all the data in one place, combine events into groups using mathematical algorithms and vector analysis.
All events on one timeline
Get a simple interface for analysts. Work with dozens of data sources, placing events on the same timeline.
Quick search on primary events and logs
A quick search of logs and data from sources with an instant trigger creation wizard will save you a lot of time.
Write your scripts and event handling rules
Using the Lua, Bash and Rest code, you can write almost any automation script. And when for the tenth time you will need to switch the port, you will go to drink coffee, and the system will do all the work.
Simple and intuitive interface
We try to make the most simple and convenient interface, where everything is at hand, so that you smile every minute spent in our system.
Our customer reviews
We support all Moscow public services. 20 million people use our services daily. Five minutes of downtime is already a critical incident for us. With the MONQ system, we abandoned the dispatch service and the situation center and moved on to a fully automated event management process. Over 70 million rubles were saved last year, and overall service availability (SLA) rose 0.07%.
Moscow City Government
Before the advent of the MONQ system, we had to work with several monitoring systems at once. Experts complained that a lot of time was spent investigating incidents. When they understood the reason, it took 10-20 minutes to find a solution to the problem based on the knowledge base. When you support critical information systems for an organization, the time counts for seconds. After the introduction of MONQ, the time to resolve critical incidents was reduced by 215% and for us this is an impressive and significant result.
Product manager of Tinkoff Bank
We always appreciated our data, but did not know that technical data can carry so much useful information. Now the system employs about 100 people and processes more than 20 million events per day. So we switched to the date driven approach.