
Automai’s Application Performance Monitoring delivers real‑time robotic end‑user experience tracking for proactive issue detection.
Vendor
Automai
Company Website




Overview
Automai’s Application Performance Monitoring (APM) enhances enterprise application reliability by continuously simulating real user interactions via robotic automation. Designed to monitor critical business processes across GUIs — including thin‑client desktop, web, and virtualized environments — it tracks each workflow step, captures response times, and proactively alerts teams before user impact occurs. The system delivers detailed transaction insight, failure screenshots, and performance analytics from the end-user perspective, empowering IT and DevOps professionals to optimize performance and swiftly address issues.
Features and Capabilities
- Robotic end‑user emulation: Runs multiple bots executing real workflows via front-end interfaces (Citrix, AVD, web apps), with no API or server installation required.
- Transaction-level metrics: Measures response time for each step in a process, generating granular performance data.
- Failure capture & reporting: Automatically screenshots UI on error, facilitating effective troubleshooting and communication.
- Centralized management console: ScenarioBuilder, Director, BotManager, and Reporter components allow you to create, orchestrate, execute, and analyze monitoring bots.
- Configurable alerting: Triggers notifications when BOT response times exceed thresholds.
- Reusable, low-maintenance scripts: GUI-recorded scenarios; easy editing (retry, re-capture images), reusable components improve maintenance.
- Scalable bot deployment: Supports hundreds to thousands of bots via BotManager and Director, simulating distributed desktop load.
- Cross-platform compatibility: Works with any UI technology — thin/fat clients, web front ends, virtual desktop environments.
- Actionable analytics: Reports and dashboards visualize bottlenecks, user-experience degradation, and performance trends.
- Unified platform approach: Leverages existing Automai scripts to support performance testing, monitoring, functional testing, and RPA.