ServiceOps brings logs, traces, alerts and APM together in one intelligence layer, so every service, dependency and request is understood from a single place, and every signal is ready for Sentinel AI to act on.
Most teams stitch service health together from separate tools for metrics, tracing, logging and alerting. ServiceOps integrates logs, traces, alerts and APM for all services into a single, correlated view. See how each service is performing, how services depend on one another, and where a request slows down, then hand a clean, correlated picture to Sentinel AI to investigate and resolve.
The operations console tracks the signals that matter, user satisfaction, response time, throughput and success rate, in real time, and surfaces degraded services the moment they drift. ML-powered insights flag anomalies, traffic shifts and optimization opportunities with a clear impact level so teams know where to look first.
An interactive topology maps every service and the calls between them, colour-coded by health. Follow traffic across the graph, spot the service dragging a whole path down, and understand blast radius before you act, not after.
Follow any request across services with span-level tracing, filter by endpoint, status, customer or user, and pinpoint exactly where time is spent. From any trace, pivot straight into the correlated logs, with advanced search, error-rate tracking and live tail, so root cause is one click away.
Drill into any service for its instances, endpoints, slow queries, traces and logs in one place. A severity-based alert timeline keeps incidents, notifications and anomalies together, filterable by entity, severity and status, so nothing important gets lost in the noise.
ServiceOps does more than show you what is happening. Every correlated signal, health, topology, traces, logs and alerts, feeds Sentinel AI, the intelligence component at the core of Ops Singularity. Sentinel runs the OIAO loop over your service data and resolves issues through governed, reversible Action Tickets.
Sherlock closes the root-cause loop and ProcBot executes the fix, every step explained with citations and fully audited.
Book a walkthrough and see unified service observability, dependency topology and autonomous resolution on a stack that looks like yours.