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
Motadata Aiops
Custom
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Cloud Monitoring
Database Monitoring
Syslog Monitoring
AWS Monitoring
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