Monitor Electron Protheus

Provides real-time metrics and health checks for Electron apps connected to Protheus, enabling developers and ops teams to detect issues quickly.

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About This Tool

Monitor Electron Protheus provides real-time visibility into the health and performance of Electron-based apps integrated with Protheus ERP. It collects core metrics and presents a structured telemetry payload for automation and analysis.
Conceptually, the tool runs a lightweight monitoring session that samples CPU, memory, FPS, event loop lag, and API latency from the Electron process and Protheus gateway. It computes moving averages and detects anomalies using configurable thresholds.
Key features include required inputs (target_app, host, port, sampling_rate) and optional advanced options (selected metrics, time_window, alert rules, and JSON export). It outputs a metrics_report with timestamp and status, enabling integration with CI, CD, and observability pipelines.
Use cases span development testing, pre-release validation, and production health checks. Its differentiators are lightweight operation, no UI dependency, and straightforward automation-friendly outputs that integrate with existing ERP monitoring stacks.

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How to Use

Provide inputs: target_app, host, port, sampling_rate_ms, and optional auth_token.
Select metrics and time_window_s to tailor collection.
Start monitoring to begin data collection and telemetry export.
Retrieve the metrics_report JSON and review key fields such as cpu_pct and api_latency_ms.
If configured, review alerts and thresholds and export results for automation.

Frequently Asked Questions

Find Quick Answers

What is monitored by this tool?

The tool monitors runtime performance metrics of an Electron-based app interfacing with Protheus, including CPU usage, memory consumption, FPS, event loop delay, and API latency. It provides a structured telemetry payload for automation and alerting.

What outputs are produced?

The primary output is a metrics_report containing timestamp, cpu_pct, memory_mb, fps, event_loop_delay_ms, api_latency_ms, and status. Optional summaries and alert flags may accompany the report for automation pipelines.

Is data stored after a session?

Data handling is telemetry-first and session-based. By default, data is not stored long-term unless an external export or integration is configured; telemetry is designed for ephemeral analysis and automation use.

Can I monitor multiple Electron apps with one setup?

Yes, the tool supports separate configurations per target_app. Each configuration runs its own telemetry session and exports independent metrics reports for automated processing and comparison.

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