Main features

AIOps observability
and automation features

Topology-based observability and automation

Collection and aggregation
  • Tests
  • Changes
  • Events
  • Queries
  • Logs
Enrichment and preprocessing
  • ML
  • Topology
  • DataBase
  • CMDB
  • Time
  • Topology
  • Context
  • Low-code
  • Cases
  • Incidents
  • Dashboards
  • Reports
  • Notifications
  • Escalations
  • Scenarios
  • Scripts
Analytics & ML
Collection, transformation, and enrichment

Aggregate any data, from metrics to logs, into a single system to look for insights

  • Monq agents are available for linux and windows devices
  • Mass agent control via coordinators
  • Non-agent data collection at an HTTP endpoint
  • Customizable connectors

Process data on the go

  • Parsing raw data and representing final data in a conventional form for further processing
  • Data transformation
  • Configuring event routing within the system

Enrichment provides helpful content that helps identify the dependencies and thus detect and resolve incidents faster.

  • Labeling with auto-clustering ML libraries
  • Labeling based on own calculations and additional information
Continuous synthetic testing

Repair errors and failures before your clients notice them

  • Run your web interface, IVR, WebRTC, and equipment test scripts on Monq agents
  • Flexible test schedule management
  • Test condition wizard
  • Fast connection of external test environments
  • Test result report and interpretation parser
  • Ready-to-use Jenkins and Gitlab CI integration templates
Analytics & ML

Humans can’t instantly process giant volumes of data. With Monq, you can.

  • Quick analytics of common failures in your sample will help identify the root cause
  • Real-time operation, instant trigger status reading, and bottleneck identification

Connect your ML models or use our standard models for deeper insights

  • ML label analytics and using ML in further calculations
Correlation and deduplication rules

No need to aggregate duplicates and junk messages. Proper deduplication can reduce observability system noise by up to 90%.

  • Filtering messages in data flow handlers. It’s you who decides what to filter out
  • Aggregating data in a handler’s pre-filter
  • Standard data flow templates, such as Zabbix, come with built-in deduplication and correlation rules

Correlation helps identify dependencies between applications and systems constituting technology stacks.

Incident deduplication will allow you to sort out an incident storm—a situation when a monitoring system creates a multitude of similar incidents in case of a mass incident.

  • Correlation algorithms take into account such parameters as text similarity, time, and topology.
Configuration model and topology discovery

Supervise your entire technology stack on one configuration model map, represented as a state graph. Forget blind spots.

You need to always have up-to-date topology and dependence insights at hand to draw conclusions and run automatic commands.

  • In Monq, topology is updated automatically based on the data collected from various sources:
    • Topology data come from various virtualization and containerization platforms
    • Reception and automatic processing of discovery data
    • Using Monq agents for identification
  • Each of the sources defines one or several areas of the configuration model. These areas are automatically fused together and correlated with the general configuration model by the automation scenarios.
Root cause analysis and health metrics

Exclude work groups and situation centers to investigate incidents manually and boost your team’s performance.

  • Dynamic correlation of siloed performance data for immediate root cause identification
  • Easily study the topology and its state and performance, anytime
  • Flexible impact weight configuration for calculating health metrics
  • Automatic incident routing to responsible persons
Automated actions, notifications and escalations

No important event missed. No more alert storms.

  • Get alerts on problems, not events
  • Save your query filter as an alert rule and receive notifications every time relevant events occur in the system.
  • Aggregate data and set thresholds

Forget waiting for someone to notice an alert. Be proactive

  • A flexible low-code editor allows you to create notification scenarios of any complexity
  • Ready-to-use templates and snippets: tailor them to your needs to set your variables
  • Scheduled actions afford even more noise reduction and help set up flexible escalation models
Team collaboration, cases, and incident management

Team collaboration is a beeline to resolving intricate multiservice incidents.

  • Monq supports integrations with customized plugins for DevOps and SRE collaboration
  • Integrate popular instruments your teams are already using.
  • Launch ChatOps principles with Monq

Single incident management screen as an observability engineer’s primary tool

  • Automatic correlation and aggregation of alerts
  • Tracking a failure’s impact on business-critical services
  • Problem prioritization and life cycle setup
  • Notification settings and automatic/manual running of auto-healing scripts
Availability reports and impact analysis

Get service availability reports and determine the SLA to track the performance of your employees and third-party teams

  • Calculating configuration unit availability
  • Calculating availability of data systems comprising various configuration units
  • Calculating availability of complex data systems comprising various data systems

Employ impact and factor analysis to find bottlenecks.

  • Configuration units’ maintenance window management
  • Data system idle time management (per work schedule)
  • Data system RTO management
  • Managing the impact of various components on the multiservice system

Why monq?


Why us?
and low-code automation
  • Proprietary plugin development
  • Extra module development
  • Connecting shared libraries
  • Wide open-source API
  • Low-code correlation logic
  • Low-code automation
No need to ditch
tools you know
  • Zero vendor lock
  • Collecting data from any monitoring systems
  • No staff retraining needed
  • Versatile data models
for high loads
  • Highly scalable microservice architecture
  • Installation in a graphic interface
  • Role model and work groups
  • External authorization
  • Extended vendor support
  • Dozens of partners