rtcStats: Open Source WebRTC Monitoring Platform for Browser-Based Quality Metrics
By
Tsahi Levent-Levi
Recycled flavour. You've tasted this bagel before.
Summary
rtcStats is a WebRTC monitoring and observability platform that provides real-time quality metrics from users' browsers. The open-source solution includes an SDK and server, allowing users to own their data while automatically detecting over 100 quality issues and pinpointing root causes in network, browser, or media server components. Built by WebRTC veterans, it offers a free tier and promises quick setup for monitoring WebRTC applications.
Key quotes
· 5 pulledrtcStats is a WebRTC monitoring, observability, and troubleshooting platform
Drop in our open source SDK to capture real-time quality metrics from your users' browsers, use our open source server and own your data
Automatically detect 100+ quality issues, pinpoint root causes (network, browser, or media server), and get actionable troubleshooting guidance
Built by three WebRTC veterans - Tsahi, Olivier, and Philipp
Free tier included. Start monitoring in minutes
You might also wanna read
Why WebRTC is the wrong choice for voice AI: A technical critique of OpenAI's approach
A technical critique arguing against using WebRTC for voice AI applications, drawing on the author's experience rewriting WebRTC SFUs at Twi
Handoff: Transfer WebRTC Sessions from Browser to External Processes
Handoff is a GitHub project that enables developers to create WebRTC sessions in the browser and then transfer them to external processes th
C# Span<T>: A Guide to Type-Safe Memory Management and Performance Optimization
This article explains C# Span<T> and ReadOnlySpan<T>, introduced in C# 7.2 (2017) and fully supported in .NET Core. These structures provide
Flathub bans nearly all generative AI apps and submissions on Linux platform
Flathub, a popular Linux application platform, has updated its generative AI policy to effectively ban nearly all apps and submissions creat
Project Glasswing: AI-assisted vulnerability detection finds over 10,000 critical software flaws
Project Glasswing is a collaborative effort launched to secure critical software against potential threats from increasingly capable AI mode
Project Glasswing: AI-assisted vulnerability detection finds over 10,000 critical software flaws
Project Glasswing is a collaborative effort launched to secure critical software against potential threats from increasingly capable AI mode
