Autoscaling is often treated as the gold standard for cloud efficiency. With a few lines of configuration, you can tune your infrastructure to match traffic in real-time, saving money while keeping your app solid under load. But with Real-Time Communication (RTC) apps, the rules change. Whether you’re
If your voice AI system can touch real systems or trigger actions with business consequences, your approach to AI agent tool calling security matters. When voice AI agents can modify customer data, trigger escalations, update ticketing systems, or execute workflows—especially for customer service in regulated industries like
Expert WebRTC testing is what separates functional real-time applications from reliable ones. A platform that works for two developers on the same high-speed office network can quickly fall apart when hundreds of users try to join simultaneously from coffee shops, firewalled corporate networks, and crowded classrooms. While
Reducing WebRTC infrastructure costs is critical as your application scales. While WebRTC technology is open-source and free to use, the infrastructure required to run it in production is often a major operational expense. (How Much Does It Really Cost to Build and Run a WebRTC Application?) Success
