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
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
Codecs are essential to WebRTC, enabling efficient media compression and decompression for transmission. They not only ensure seamless communication but also impact quality, latency, and compatibility across devices. In this post we will talk about the importance of codecs for WebRTC, including essential codecs, codecs that enable
Through the power of WebRTC, millions of people connect face-to-face with colleagues across continents, collaborate on virtual whiteboards in real-time, share their screens with support teams, and much more. However, when issues arise, identifying the root cause within the complex web of connections can feel like searching
