Enterprise observability
AImonitoring is an enterprise observability platform that brings synthetic monitoring, OTLP telemetry, trace detail, SLO burn alerts, service ownership, dependency mapping, verified integrations, observability analytics, incident routing, status pages, and AI-agent monitoring into one operational model.
HTTP, TCP, ping, heartbeat, SSL expiry, keyword validation, and AI-agent checks.
OTLP JSON ingestion for logs, metrics, traces, and trace-level debugging.
Teams, owners, dependencies, SLOs, incidents, reviews, and status pages.
Service health scores, SLO burn signals, MTTR, deployment correlations, and root-cause groups.
Verified provider status for Slack, PagerDuty, Opsgenie, Jira, GitHub, Datadog, and webhooks.
Audit exports, tenant lifecycle requests, access controls, rate limits, and error boundaries.