Infra Monitoring & Log Analytics
Hawk is an AI-powered observability platform that correlates metrics, logs, and traces to surface insights — not alerts. Stop noise, start understanding.
Modern infrastructure generates more observability data than any team can manually parse. Hawk uses AI to correlate signals across your entire stack — automatically grouping related alerts, identifying root causes, and prioritising what actually needs human attention. The result: fewer pages at 3am, faster MTTR, and engineers who can focus on building instead of firefighting.
Machine learning clusters related alerts into single incidents — reducing alert fatigue by up to 90% and surfacing root causes automatically.
Ingest, parse, and query logs from any source at petabyte scale. Full-text search, field extraction, and anomaly detection built in.
OpenTelemetry-native trace collection with service dependency maps, latency flamegraphs, and cross-service error propagation analysis.
PromQL-compatible metrics from 300+ integrations — Kubernetes, AWS, Azure, GCP, databases, and custom applications — with 13-month retention.
Adaptive baselines learn your system's normal behaviour and alert only when genuine anomalies are detected — with seasonality and trend awareness.
Bi-directional integrations with PagerDuty, OpsGenie, and Slack — with automated runbook suggestions and incident timeline reconstruction.
Book a personalised demo and see how Hawk can work for your specific use case.
