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 application itself, they significantly impact the user experience. Pre-call testing helps identify potential problems before a call begins, enabling proactive solutions and clearer expectations.  In this post, we'll

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 fundamental difference makes GPUs ideal not just for rendering graphics but also for the large-scale data processing that have been driving advancements in WebRTC video streaming. This capability

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 additional features, and emerging codecs such as AV1 and AI audio codecs. The Role of Codecs The main goal of WebRTC is to enable real-time exchange of video,

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 for a needle in a haystack.  While challenging, troubleshooting WebRTC applications can be made more manageable. With the right diagnostic tools and a systematic approach, you can quickly

For a long time, content creators and broadcasters had to choose between the immediacy of live streaming or the polish of edited, on-demand video. Today, innovations in browser APIs and real-time technologies—especially around WebRTC—are closing that gap. By leveraging powerful JavaScript APIs, modern libraries, and emerging protocols, it’s now possible to deliver feature-rich, low-latency video experiences that merge live interaction with the sophistication of post-production workflows. This convergence of live and produced content represents one

For organizations with specific regulatory, scaling, or network control requirements, self-hosted STUN/TURN servers can be a more suitable option than relying on managed service providers to set up and maintain your WebRTC connections. Those seeking cost optimization or increased customization may also benefit from exploring self-hosted solutions. In this post, we’ll outline best practices for provisioning self-hosted STUN/TURN servers, as recommended by our WebRTC experts. We’ll also explore how to install, run and configure three

On March 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 model. They explore why traditional WebRTC connectivity methods break in Kubernetes environments and discuss practical solutions using TURN servers. The session covers the evolution of WebRTC deployments from

On January 22, 2025, Damien Stolarz, CEO of Evercast, joined host Arin Sime to discuss how his team added real-time communications into Apple Vision Pro for a collaboration experience like none other. Evercast is a high-resolution, high-color, ultra-low-latency, surround-sound conferencing and streaming software. It’s used for secure remote editing and finishing of films and TV shows, and was used in 60% of Oscar nominated films last year. In the conversation, they cover use cases and the technology

As we finish Celebrating 2024: A Year of Versatile WebRTC Solutions and look ahead to 2025, WebRTC.ventures is buzzing with excitement about the future of real-time communication technology. Our team of WebRTC and related experts are gearing up for another year filled with innovation, growth, and new opportunities in the world of real time communications. From protocol innovations to AI and other emerging technologies, the WebRTC ecosystem continues to evolve in exciting ways. Let's explore

Whether you're building a VoIP application, a video conferencing platform, or any real-time communication solution, ensuring optimal performance in environments with slow or unreliable networks can be a significant challenge. This is especially true for mobile networks and satellite communications, where latency, packet loss, and bandwidth limitations are common hurdles. To address these challenges, developers and architects must carefully evaluate various network-level factors and implement strategies that maximize performance, even under suboptimal conditions. In this

OpenAI has introduced a new feature to its Realtime API: a WebRTC endpoint that enables real-time interaction with AI models. This exciting development opens up new possibilities for application builders and users alike, who can now enjoy seamless, instantaneous conversations with AI-powered systems. In this post, we explore why OpenAI this new endpoint is important, how it brings together the formally parallel technologies of WebRTC and AI, and the steps to get started. From WebSockets

Taking stock of the WebRTC.ventures team's accomplishments in 2024, we continued to push the boundaries of real-time communication—delivering cutting-edge solutions while strengthening trust and collaboration with our clients. Over the past 12 months, we’ve committed to innovation, adaptability, and strong partnerships. Our expertise shined across a diverse range of projects—from focused assessments to complex, multi-year developments. Our versatility spanned web and mobile applications, CPaaS and open-source solutions, traditional live video conferencing, contact center solutions, and

Let’s face it, managing support as a Managed Service Provider (MSP) is no walk in the park. You’re juggling client expectations, technical challenges, and a barrage of incoming issues—all while aiming for seamless service delivery. That’s where the Zendesk customer service solution swoops in to save the day.  (Not sure why you need an MSP? Check out our blog post on the topic!) At WebRTC.ventures, we’ve harnessed the full potential of Zendesk to elevate our

WebRTC.ventures is thrilled to announce our official development partnership with SignalWire, a leading provider of omnichannel communications platforms featuring Programmable APIs for voice, video, and messaging. Together, we are committed to driving innovation in custom communication solutions, serving industries from telecommunications and healthcare to education. The partnership combines WebRTC.ventures' development expertise with SignalWire's robust technological foundation, leveraging the strengths of both organizations to deliver exceptional communication solutions that meet the evolving needs of businesses seeking

In 2017, WebRTC.ventures developed VideoMagistrate's groundbreaking cloud solution for remote legal proceedings using the Vonage Video API. Over the past seven years, we have continued to support the platform with our managed services, culminating in a technological refresh in 2024. Original 2017 Vision Accessible web platform for legal proceedings Secure video conferencing Real-time document sharing Electronic signature capabilities 2024 Technology Evolution Building on the original infrastructure and continuing to use the Vonage Video API, the

On a special year-end episode of WebRTC Live on December 11, 2024, guest host WebRTC.ventures COO Mariana Lopez and four WebRTC.ventures technical leaders shared insights from real-world projects, showcasing four key areas that are transforming the WebRTC landscape: AI in Real-Time Communications – AI hit like a thunderbolt in 2024, fundamentally transforming how we deliver personalized, efficient, and dynamic user experiences in real-time communications. (Lucas Schnoller, Lead Engineer)  Video Publishing and Production – WebRTC’s integration with video production workflows

AWS re:Invent 2024 brought together nearly 70,000 attendees in Las Vegas, reaffirming AWS's status as the leading cloud provider. This year's conference was overflowing with groundbreaking announcements and innovations that are set to shape the future of cloud technology.  As WebRTC.ventures are members of the APN network as well as Systems Integration Partners for the Amazon Chime SDK, I was excited to immerse myself in this vibrant atmosphere of learning and collaboration, and to have

Establishing peer connections is one of the most challenging aspects of implementing WebRTC-based applications. This process includes configuring STUN (Session Traversal Utilities for NAT) and TURN (Traversal Using Relays around NAT) servers, often known as ICE servers, which are vital for overcoming network restrictions and ensuring reliable connections. In a previous post, Mastering STUN & TURN Servers: A Guide to Proper Integration for WebRTC Applications, we explored various approaches to effectively implementing these critical servers.

In June, I had the great opportunity to attend the CommCon 2024 event in London. It was held at Cloudflare’s offices in front of the London Eye and next to the Westminster Bridge. I was happy to attend CommCon for the first time, to get to hear all those amazing talks and to meet great professionals in the real-time and open media industry. Here are the insights I gained from each of the talks, for

Contact centers are proactively seeking ways to enhance their customer outreach efforts while balancing personalization and efficiency. Through click-to-call (a.k.a. dialer) solutions powered by Large Language Models (LLMs), they can build outbound campaigns where a voicebot with high conversational capabilities initiates contact with customers, filtering and qualifying interactions before routing them to human agents. From debt collection to market research, AI-powered customer outreach can automate a host of routine initial interactions and determine when it