
VerOps connects synthetic monitoring, APM, RUM, programmable Workbooks, and first-class AI-quality monitoring into one platform — so you can answer the only question that matters: is the whole journey healthy, and if not, why?

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Sentinel
Production · Overview
Live
Uptime (SLO)
99.98%
▲ on target
p95 latency
412ms
▼ 8%
Throughput
18.4k/s
AI faithfulness
0.94
Open incidents
0
Request latency
p50 · p95 · p99
Throughput
req/s
Distributed trace
checkout · 512ms
api-gateway
auth-svc
cart-svc
postgres
payment-api
Alerts
2 active
p95 latency high
cart-svc
Deploy gate passed
CI · web
SLO burn normal
checkout
ONE PLATFORM — EVERY SIGNAL ACROSS YOUR STACK
ONE PLATFORM, EVERY LAYER
Synthetic Monitoring
Scripted browser and API checks from cloud and on-prem agents — test the real journey, even on private networks.
APM & Distributed Tracing
Auto-instrumented services, a live service map, and method-level profiling to find root cause fast.
Real User Monitoring
Core Web Vitals, sessions, errors and funnels from your actual visitors, on real devices.
Workbooks
Programmable runbooks across UI, API, traces, DB, logs and network — that explain themselves and can act.
AI Quality & Sentinel
Evaluate-not-assert monitoring for chatbots and agents: correctness, faithfulness, safety — scored by an LLM judge.
Alerting, On-call & SLOs
Rules, severities, on-call schedules, silences and error-budget burn alerts — page the right person first.
Network & Infrastructure
Path health, hosts, containers and Kubernetes — with agents that reach where SaaS probes cannot.
Incident Response
War Rooms that auto-assemble topology, signals and a timeline — so you start with the picture, not a blank page.
One correlated story
Synthetic, traces, RUM, logs and infra share context — so root cause is one click, not a 3 a.m. scavenger hunt.
Reaches private infra, and acts
On-prem agents monitor databases and internal apps; Workbooks remediate, gate deploys, and page people.
AI-native by design
Agentic narration explains incidents, a Discovery Agent auto-authors monitors, and you can monitor AI itself.

AI features fail semantically, so VerOps gives them two AI-native answers. Vera is your assistant — ask it about any incident or signal in plain language and it narrates root cause, correlates telemetry and even drafts the monitors and Workbooks to watch it. Sentinel is the AI-quality control plane — an LLM-as-judge plus deterministic checks that continuously score correctness, faithfulness and safety, gate releases in CI, and watch your AI in production.
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