/ WIT OS / EEOS
End-user experience, traced end to end.
EEOS is the experience-operations orchestrator inside WIT OS. Think Compuware in 2080 — agent-native distributed tracing, real-user monitoring, and a flagship Experience Hunting module that walks your application stack until it finds the bottleneck and names the culprit.
- Distributed traces across every service · code-level spans
- Real-user monitoring + proactive synthetic checks · one stream
- Experience Hunting — finds the slow path and names the culprit
- Native to MAESTRO and the Workspace · cited recommendations
/ What you get
Everything you need. Nothing you don't.
Distributed Tracer
Span-level traces across every service in the request path — frontend, gateway, services, databases, third-party calls. OpenTelemetry-native; auto-instrumentation across 100+ frameworks.
Real User Monitoring
Every session in production: page load, route change, JS error, layout shift, interaction-to-next-paint. Cohort-aware so you can see which segment is suffering, not just an average.
Synthetic Pulse
Proactive checks from real geographies and devices on a schedule that matches your release cadence. Catches the regression before users do.
Experience Hunting
The flagship module. Hunter walks the application stack, scoring every dependency by its contribution to perceived experience. It returns the bottleneck — by service, by endpoint, by code path — and the culprit, with cited evidence.
Continuous Profiler
Always-on, low-overhead CPU and memory profiling. Pinpoints the slow function, the leaked allocation, the GC pause — without code changes or staging-only flags.
Experience Score
A continuously-updated composite of latency, error rate, perceived performance, and conversion proxies — per route, per cohort, per region. Boards see one number; engineers see the spans behind it.
Ready to run on WIT OS?
Talk to the team about a managed deployment, a pilot, or a custom agent — we typically respond within an hour.
/ Flagship · Experience Hunting
Find the bottleneck. Name the culprit.
Experience Hunting is what we wish APM had been doing for the last decade. The Hunter agent walks your application stack continuously — front-end, edge, services, queues, databases, third-party APIs — scoring every dependency by its contribution to the user's perceived experience.
When the experience score drops, Hunter returns the answer in minutes: the slow path, the offending service, and the specific commit, query, or third-party call that caused it — with span-level evidence the SRE on call can paste straight into the incident channel.
- 01The bottleneck
`POST /v1/checkout` p95 has degraded 41% since deploy 4f1c. The bottleneck is the third dependency in the call chain.
- 02The culprit
`payments.preauth` is now spending 280 ms in a serialized loop over three vendor calls — was 32 ms parallel previously. Commit `4f1c …` dropped the Promise.all.
- 03The blast radius
32% of US-East sessions; 4 enterprise customers; conversion proxy down 1.8 points. Cohorts cited.
- 04The fix path
Open PR with the parallel-call restoration as a draft; rollback plan attached; affected SLOs and downstream dependencies listed.