No more failures in IT
- MONQ reduces manual failure notifications by dozens of times
- MONQ increases the efficiency of root-cause analysis and increases the speed of investigation of IT-incidents by 70-95%
- Business losses from disruptions in enterprise applications are $ 1-2.5 billion per year for global companies in the top 1000 (IDC)
How MONQ works?
Build the Collaboration Environment for Engineers
Connect to MONQ your systems and service desks, CMDB, task and project management system, corporate messengers, knowledgebase. What you will get?
- —Common Space for Support
- —Phone and messenger alerts to responsible team members
- —Auto-set incidents and tasks
- —Risk Analysis Data
- —Additional knowledge and experience
Сreate your automation scripts directly in the MONQ:
- —REST requests, SNMP management protocol
- —Bash, and SSH commands, Lua and JS operators are available.
Connect your automation tools, variable stores, and external runbooks (ansible and puppit) and run them easily from the MONQ.
Data Collection and Analysis
Collect in one system data from UX monitoring, synthetic testing, infrastructure monitoring, traffic monitoring, and network activity, application performance monitoring (APM), from logs and other unstructured data, business metrics (BI), IoT metrics and events, topology data and other unstructured data. Dozens of ready-made connectors are available in MONQ.
What you will get?
- —Historical data analysis
- —Failure and Anomaly Detection
- —Health and Performance Analysis
- —Data for analysis and forecasting
MONQ processes Big Data using machine learning. How?
It centralizes data collection at one point MONQ collects data from sources a lot of sources: Jenkins, Splunk, Prometheus, Tivoli, Initi, Nagios, Micro Focus, Zabbix, Wisla, Elastic, Stack
It highlights only important data The platform filters data automatically and highlights the important
MONQ analyzes data and predicts failures It identifies root causes, calculates dependencies, SLAs, and health indicators, and builds resource-service models. The system predicts negative events and prevent them
Incident management MONQ creates an incident in ITSM, deduplicates and routes the incident. It will inform your team about any problem
MONQ automates routine If something can be described, so it can be automated using MONQ. The system eliminates human errors by running scripts
The system makes analytics and reporting complete and clear MONQ has a report and dashboard constructor, and the system can integrate with BI
Want to know how MONQ could work for your company?Get pilot or demonstrationGet demonstration
What will you appreciate in MONQ?
Noise reduction and detection of really important events
MONQ helps you quickly find the most important of thousands of events and failures. Thanks to machine learning, the system analyzes IT infrastructures, detects suspicious deviations, identifies the most important ones and notifies your teams. No more distractions on “noise” and unimportant events
Ability to implement your scripts and event handling rules
Using the Lua, Bash, and Rest code, you can write almost any automation script. And when once again you need to switch the port, you can go drink coffee, and the system will do all the work
High incident response rate and lack of time lags
MONQ processes Big Data in real-time. Information about incidents, failures and suspicious deviations will instantly get to your team. The system has no delays in the data processing
High-performance incident notification system
If something goes wrong, all responsible team members will be notified immediately via various communication channels: in Telegram, chats, email, by phone
Centralized IT monitoring with all necessary integrations already in the box
MONQ brings all monitoring systems to one screen: there are Zabbix, Prometheus, SCOM, and Ntop in the box. If there is no integration with the system you need, we will do it in two weeks, or you can configure it yourself by using MONQ EasyBus Technology
The ability to adapt the system to your needs
Customize the system to fit your needs. On our own or with the help of our team
High visibility of reports and analytics
Get a simple interface for analysts. Work with dozens of data sources, placing events on the same timeline.
Fast implementation and easy training
MONQ is easy to install. We will provide fast integration and quickly write the necessary connectors. Learning to work with MONQ is easy - there is MONQ Brain program, clear instructions, a knowledge base and FAQ
Mony the Cat
MONQ is an AIOps-solution, "machine for a machine." But it works for people, and people need cats. Mony the Cat creates a good mood in the system, communicates with you in a chatbot, writes letters and calls (does not meow!). Want to chat?
Get all data across systems, apps, and servicesMore
Dozens of ready-made connectors allow you to configure the collection and processing of data in minutes. If your data collection system or monitoring system is not in our ready-made connectors, do not worry. Three simple steps separate you from collecting data from any system.
See UX through customer's eyesMore
A predictive synthetic transaction monitoring system will allow you to learn about anomalies in the operation of your services and business processes before your customers. Robots imitate any human actions, and you get analytics and automated actions.
Take business data to predict business-critical eventsMore
Collect and collate business data with technical data. You can predict the impact of various technical infrastructure and your resources on real business. An intelligent data clustering system will give you added value by reducing the processing time of big data.
Timeline and visual data analysisMore
You can select the required data levels and present them for viewing on one timeline. This is very useful when you want to look at data in time to find patterns. Further, the discovered patterns can be described in templates for generating integral events.
Search by logs and primary dataMore
Analysts can get the flow of incoming data using powerful search tools. Further, choosing the data, it is possible to form patterns for the generation of interal events, by which automation can already be configured.
Machine Learning and Intelligent AssistantMore
Machine learning and mathematical analysis will help you get the real value of big data. Intelligent data aggregation, anomaly search and intelligent search for the root causes of problems and events.
Based on the topology, we can calculate the state of those elements about which we do not know anything. Having built a mathematical model, we will be able to obtain more accurate initial data, filter out unimportant events and calculate the influence of different elements on the business level.
Incident management with external service desksMore
If you use your own service desk, then to simplify the incident management process, you can assign incidents, view statuses and protocols through MONQ, without going into the service desk itself. Manual creation of incidents and alerts is available, as well as in automatic mode.
Code-base creating synthetic events and triggersMore
Working with primary raw and unstructured data and logs, including events created by monitoring systems and BI systems, you can easily create synthetic triggers on which new events are generated. You can create triggers using scripts or using the wizard.
Rule-Based Automation and BPMMore
Using complex If-Then logic you can describe the rules for launching various actions, which include scripted actions, alerts by templates, setting tasks, incidents, etc.
Flexible code based automationMOre
Using programmable logic, you can describe the rules for launching acts that include various actions that imitate a person (for example, go to the administrative interface and put a stub on the service mode), Rest requests, or scripts on Bash and SNMP.