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Primo ART

Catch failures before your users do

Primo ART runs your critical business scenarios 24/7 — synthetic robots that behave like a user who never sleeps — and correlates them with real user activity. It detects failures and performance degradation minutes before customers are affected, with step-by-step evidence your operations team can act on.

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Primo ART — transaction monitoring dashboard
The monitoring gap

Infrastructure monitoring says everything is healthy

CPU, memory, network — all green. Your dashboards watch servers, not journeys. Zabbix, Prometheus, and Grafana were built for infrastructure. They have no idea whether a user can actually log in, submit a form, or complete a transaction.

Primo ART watches what the user actually does

Clicks, forms, navigations, API calls — the whole business transaction. If it breaks at 3 AM after a deployment, you know in minutes, not when the helpdesk opens.

Capabilities

What Primo ART monitors

01

Synthetic Transaction Monitoring (STM)

Automated execution of real user scenarios on a schedule, 24/7, regardless of live traffic.
  • Verifies availability of key business operations and measures time for every step
  • Runs four transaction types: browser (headless), HTTP, shell command, and full RPA-driven desktop
  • Captures a screenshot at each step — visual evidence of exactly where a flow breaks
02

Real User Monitoring (RUM)

Metrics collected from real users' browsers, alongside synthetic results.
  • Page-load metrics (TTFB, TTI, FCP, fully-loaded time) and latency percentiles (p50/p90/p99)
  • RPS, Apdex, and error rate for application performance
  • Per-request traces and visual interaction/dependency maps
03

Transaction correlation & unified observability

Synthetic and real-user signals correlated into business services, with a unified observability layer and proactive alerting.
  • Success rate, error counts, live SLA status — automatic Service Map from APM traces
  • Exports to Grafana, Prometheus, and Datadog — metrics flow into your existing stack
  • Four-level alerting (Critical to Information) via Email, Webhook (JSON/TLS), and Telegram; SLA forecasting by day, week, month, or year

Monitoring lives where automation lives

Because Primo ART is built on the same engine as Primo RPA Robot, every process your robots automate can also be monitored with the same scenario. The workflow you built for invoice processing, payroll, or onboarding can double as a monitoring scenario — no additional tooling, no separate vendor, no re-instrumentation. When automation runs, monitoring runs with it.

Monitoring that reaches the thick client

Most monitoring stops at the browser. Because Primo ART drives scenarios through the Primo RPA Robot (RPA) engine, it can monitor desktop applications, VDI environments, and thick clients with a graphical interface — not just web apps. The same engine that automates your processes can watch them. And because agents act as synthetic users on dedicated machines, there's nothing to instrument inside the monitored application.

Differentiators

What sets Primo ART apart

24/7, traffic-independent

Synthetic checks run on schedule, even at 3 AM and in pre-prod, when RUM is silent.

Reaches desktop & thick clients

RPA-driven scenarios monitor software no browser-only tool can see.

No agent inside your apps

Agents act as synthetic users on dedicated machines; no instrumentation of monitored systems.

On-premise, your data stays put

In on-premise deployments, monitoring data, screenshots, and traces remain inside customer-controlled infrastructure unless external integrations are explicitly configured. Air-gap capable.

Shared engine with Primo RPA

The same scenario engine and agents power both automation and monitoring.

Objective SLA evidence

Timestamped, step-level measurements with screenshots for vendor and SLA accountability.

What Primo ART replaces in your stack

Without Primo ART

With Primo ART

Outages discovered through user complaints and helpdesk tickets

Synthetic robots detect failures proactively, 24/7, with step-level evidence

Infrastructure dashboards that are green while users are stuck

User-level transaction monitoring that sees the actual business journey

Separate, browser-only synthetic tools that can't see desktop or thick-client apps

One platform covering web, HTTP, shell, and RPA-driven desktop scenarios

When Primo ART is the right choice

Good fit

  • High IT dependency where digital service availability directly impacts business outcomes
  • Existing RPA program that should also monitor the processes it runs
  • Cross-system, end-to-end journeys (web + thick client + integrations)
  • Air-gap or data-residency requirements
  • Need for objective SLA evidence against vendors

Watch out for

  • Native mobile app (iOS/Android) monitoring — currently mobile web only
  • Production e-commerce with aggressive anti-bot protection — needs whitelisting setup during onboarding
  • No clear success criteria or target scenarios defined before starting
  • No environment available to host monitoring agents
Proven at scale

What Primo ART delivers
for operations teams

~60×
Faster mean time to detect (MTTD)
Synthetic detection vs. waiting for real traffic — observed as minutes instead of hours in monitored deployments.
~6×
Faster mean time to recover (MTTR)
Step-level logs and screenshots shorten root-cause analysis, reducing the full recovery cycle.
−65%
Post-change incidents (also −32% downtime, +22% release speed)
Synthesized from monitoring-intensive deployments. Individual results depend on baseline observability, scenario coverage, and process scope.
< 5 min
Typical detection-to-alert cycle, synthetic checks
For checks on 1–5 min intervals. Shorter intervals available for critical business flows based on configuration.

Ranges synthesized from monitoring-intensive deployments. Individual deployment results depend on baseline observability, scenario coverage, and process scope.

Get started

See Primo ART monitoring a process you actually care about

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Primo ART

Synthetic and real-user monitoring that catches failures first.

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