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Monthly: February 2025.

Home2025February
February 28, 2025
Hector ZelayaComments Off on A Quick Tour of webrtc-internals: A Powerful WebRTC Debugging Tool

A Quick Tour of webrtc-internals: A Powerful WebRTC Debugging Tool

The webrtc-internals tab is a powerful debugging tool built into Chrome and other Chromium-based browsers. It provides real-time insights into active WebRTC sessions, offering developers a detailed view of connection behavior and media transport. In this post, we’ll take a quick tour of how webrtc-internals enables real-time

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February 21, 2025
Hector ZelayaComments Off on Implementing Pre-Call Tests for Better Real-Time Communication Experiences

Implementing Pre-Call Tests for Better Real-Time Communication Experiences

Real-time video calls have become the backbone of how we work, learn, and connect. And when users connect, they expect seamless, high-quality communication. Yet many factors can affect call quality – from internet connectivity to device settings to network configurations. While these issues often originate outside the

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February 19, 2025
Jen OppenheimerComments Off on Watch WebRTC Live #99: Running WebRTC Media Servers in Kubernetes

Watch WebRTC Live #99: Running WebRTC Media Servers in Kubernetes

On February 19, 2025, Péter Megyesi, CEO of L7mp, joined host Arin Sime to dive into the complexities of running WebRTC media servers in Kubernetes environments. While containerization of WebRTC applications has become common practice, integrating these containers into Kubernetes presents unique challenges due to WebRTC’s distinct networking

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February 11, 2025
Alberto GonzalezComments Off on When GPU Matters in WebRTC: Accelerating AI, Video Streaming, and Real-Time Communication

When GPU Matters in WebRTC: Accelerating AI, Video Streaming, and Real-Time Communication

Graphics Processing Units (GPUs) were originally designed to accelerate gaming, enabling complex graphics computations to run in parallel. Unlike Central Processing Units (CPUs), which excel at executing a few instructions at a time with high precision, GPUs are built for massive parallelism—handling thousands of operations simultaneously.  This

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