Process-Level Network Diagnostics for Windows
Introducing LucidWire. Pinpoint rogue processes instantly with real-time PID-to-NIC traffic mapping. Zero drivers required, predictable overhead, and native security hardening.
Why LucidWire network analyzer?
🔍 Process-to-Flow Attribution
Don't just see 100% NIC usage. Map specific IP flows to their parent Process ID (PID) instantly. Get the context that Windows Task Manager misses.
⚡ Zero-Driver Deployment
Avoid the high deployment friction of tools like Npcap. No reboots, no driver-signing headaches, and absolutely no risk of kernel-mode "Blue Screen" crashes.
🛡️ Inherited Hardening
By utilizing native Windows networking APIs (like GetIfTable2 and socket enumerators), LucidWire inherits the security hardening of the Windows OS itself rather than introducing third-party attack surfaces.
⏱️ Predictable Overhead
Built for production servers. Our engine ensures that telemetry collection doesn't saturate the CPU interrupt cycles it is meant to monitor.
🖥️ Ultra-Responsive UI
Maintain a 100ms snappiness target with our natively compiled Avalonia desktop client, capable of rendering 10,000+ connections effortlessly without UI stutter.
🎯 Instant Bottleneck ID
Find out exactly which service, Docker container, or background process is saturating your NIC network link, saving you hours of hunting for the root cause.
The Technical Stack
- GetPerTcpConnectionEStats Engine We utilize Windows native extended statistics instead of heavy ETW kernel tracing. This provides byte-accurate, socket-level flow tracking with practically zero overhead.
- GetIfTable2 Implementation We specifically utilize GetIfTable2 rather than the legacy GetIfTable to avoid high-latency MIB-II table walks, ensuring a snapshot-accurate view of the interface state.
- Native Avalonia GUI To maintain our gold-standard responsiveness, we built the client using Avalonia UI and a virtualized data grid. It bypasses the RAM-heavy overhead common in Electron/WebView wrappers.
- Thread-Safe Ingest Cache A high-performance gRPC cache layer decouples telemetry event capture from the UI update cycle, preventing dropped data during 10Gbps+ traffic spikes.