Check out Optimize, our new AI-powered product!
Last week, several members of the callstats.io team attended Enterprise Connect. Here are our key takeaways from the event.
Low media quality occurs due to a variety of reasons, most of which can be fixed automatically. Today, we are announcing the first artificial intelligence solution for WebRTC, Optimize. Optimize significantly improves call quality by applying AI and ML algorithms, and works in the background estimating the optimal quality for each user, using insights from the previous sessions.
Delay and jitter are naturally tied to each other, but they are not the same. They are both impacted by several factors and both affect the network, but they describe different problems.
Our Long-term vision for evaluating media quality for real-time communication is grand and this post discusses how we measure annoyance.
Gearing up to the magical Scandinavian summer, we’re happy to announce internship opportunities with callstats.io!
Objective Quality (OQ) is a popular high-order metric displayed on our dashboard. It evaluates the quality of a conference call by giving each stream a score. Today, we are rolling out Objective Quality Version 3 (OQv3). In this blogpost, we describe the updates that were made to callstats.io’s popular quality score.
Media quality is affected by a number of factors, but is especially susceptible to end-user network environments. Understanding the network conditions for WebRTC calls can ensure higher media quality and predictability. To tackle this issue, we launched a new feature called pre-call test.
Our customer noticed that their RTTs were higher than expected. We went to work to understand what caused the high RTT values.
The main reason we use Kubernetes at callstats.io is simple: It lets us minimize the number of servers we run in our AWS ecosystem, naturally bringing about sizeable cost efficiencies. But we also make use of many features available in Kubernetes.
For many developers looking to dip their feet into WebRTC, one of the biggest questions is whether to use a software development kit (SDK). This is especially true when the intended purpose is strictly one-to-one, peer-to-peer (P2P) communication.
Our deep dive series into callstats.io REST API continues with a post on ICE gathering state changes. Read on and make the most out of your call diagnostics service.
We think of data collection and presentation at callstats.io as a pyramid, with individual call data at the bottom of the pyramid. As we go up the layers, the data gets aggregated in stages into a holistic view for your WebRTC App.
The new tab-based dashboard layout and improved filtering help understand specific conferences or users; ‘Conference details’ tab gets a makeover
A deeper look into signaling state changes kickstarts our new series of blog posts about the callstats.io REST API. We hope these tips and tricks help you make the most out of your call diagnostics service!
Download our new WebRTC Metrics Report discussing metrics sampled from our global callstats.io service. This time we focused on statistics for pre-call test, which estimates connection quality before a call starts.