Motadata AIOps

Practical AIOps workflows for faster triage, smart automation, and cost control
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Open the console, link your data sources, and start taming alerts within the first hour. Connect system metrics, logs, traces, cloud accounts, network devices, and IPAM/DNS via native collectors and standard protocols (agents, syslog, SNMP, APIs). Auto-discovery builds a live topology so you can see which services, hosts, containers, and network elements depend on each other. Set routing rules by team, schedule, and severity; the platform will learn normal behavior per entity and time window, then flag deviations without flooding your queue. From day one, you’ll have unified telemetry, a dependency map, and a prioritized alert stream you can act on.

When you’re on call, the workflow is straightforward. Correlated signals roll up into a single incident with the probable blast radius and suspected root cause highlighted. Drill from the incident to logs, metrics, and traces in one timeline to validate impact. Use quick actions to run lightweight diagnostics (ping, traceroute, process checks) or execute a predefined test plan. If the issue requires a ticket, create it directly from the incident with all context attached and auto-assign using your escalation policy. Integrate with ServiceOps or your preferred ITSM so tickets open with runbook links, owner, SLA, and evidence, and automatically move through states as signals change. Acknowledge or reassign from Slack/Teams, and let after-hours rules escalate only when necessary. more

Review summary

Features

  • Event correlation and noise reduction
  • Anomaly detection with adaptive baselines
  • Incident routing and auto-escalation
  • ITSM integration (ServiceOps and third-party)
  • Topology and dependency discovery
  • Metrics, logs, and trace analytics
  • Server and application health monitoring
  • Network traffic and bandwidth insights
  • Availability and SLA tracking
  • IP, DNS, and MAC inventory monitoring
  • Internet usage governance and policy alerts
  • Diagnostic and performance testing tools
  • Baseline and configuration drift management
  • Resource and capacity planning
  • Automated remediation workflows

How It’s Used

  • Unify telemetry by connecting agents, SNMP devices, cloud services, and logs
  • Group duplicate alerts into one incident and surface likely root cause
  • Auto-create enriched tickets and escalate by on-call schedule
  • Forecast capacity and right-size resources to reduce spend
  • Detect unusual log patterns to prevent outages before users notice
  • Enforce web access rules and monitor risky network activity
  • Track SLAs in real time and trigger actions ahead of breaches
  • Execute runbooks to restart services, scale pods, or clear queues automatically

Plans & Pricing

Motadata Aiops

Custom

Webserver Monitoring
Server Monitoring
Cloud Monitoring
Database Monitoring
Syslog Monitoring
AWS Monitoring
PostgreSQL Monitoring

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