Working with video *

The other day I was watching a video about artificial intelligence and its future development in editing software. It was a typical webinar: the speaker was showing off features in DaVinci Resolve while a talking head was broadcast in a small window.

And then I had the idea to write a post about the best screen recording programs. Many people need them: bloggers, teachers, online course sellers. Companies use them to create tutorials and send them to employees, and gamers record their gameplay.

I tested 11 options, and I'm sharing my thoughts in this review.

Lately, articles have been coming out about how to watch torrents on a TV. I read them and realize that the topic is not fully covered; people suggest putting in maximum effort for the bare minimum.

What do you need for watching movies at home, and how does it work for me...

When OpenAI first showed Sora, the reaction was instantaneous: "that's it, the era of video production is over." But that was just a demonstration. The technology itself remained inaccessible to a wide audience — until the appearance of Sora 2, an updated version where any user can create up to 100 videos a day for free.

In short, Sora 2 is not just a "text-to-video generator." It's a full-fledged multi-agent system where several OpenAI models work under the hood: from text analysis and scene staging to motion and light synthesis. Unlike early versions of Runway or Pika, the quality here is almost cinematic: Sora understands context, follows the frame's composition, and maintains visual integrity between scenes.

While video-based learning continues to rank high in the latest trends, there are a few points that are regularly overlooked in the production of learning videos, with a focus on user experience (UX) and user interaction 

People really enjoy watching videos. According to a survey conducted among consumers worldwide, respondents watched an average of 19 hours of online video content per week in 2022. And nearly half of all internet users watch online videos at least once a week.

I want you to know all the latest information, which is why in today’s article, I’ll talk about the mind-blowing AI that was released a few days ago! If you want to know more details, please read this article till the end!

This article continues the series of articles on load tests. Today we will analyze the testing methodology and answer the question: "How many IP cameras can be connected to a WebRTC server?"

Do you remember how just a few years ago it was a disaster to lose a camera at the end of a vacation? All memorable pictures and videos then disappeared along with the lost device. Probably, this fact prompted the great minds to invent cloud storage, so that the safety of records no longer depends on the presence of the devices on which these records are made.

We continue to review variants of load tests. In this article we will go over the testing methodology and conduct a load test that we will use to try and determine the number of users that could watch and stream at the same time, meaning the users will simultaneously publish and view the streams.

This article is a continuation of our series of write-ups about load tests for our server. We have already discussed how to compile metrics and how to use them to choose the equipment, and we also provided an overview of various load testing methods. Today we shall look at how the server handles stream mixing.

In the previous article we went over a load test whose data could be used to choose a load-appropriate server. In the course of the testing, we would publish a stream on one WCS, and we would pick up that stream several times using a second WCS. The acquired results could be used as a basis for decisions on server operability.

Some would (justly) have concerns regarding the possible biases in such a test — after all, one of our servers was used to test another one of our servers. Could it be that we were using a specially optimized code that skewed the results in our favor?

In any project, a great deal of importance is placed on the selection of server hardware and WebRTC streaming is no exception. One of the key principles of such a selection is balance – the hardware should be powerful enough to handle the streams with no drops in quality, but not too powerful so as to waste resources. So, how does one choose the right server?

Monitoring systems are a vital tool for any system administrator, because they can be used to extract specific information from services, such that:

In the comment sections of our articles about our server there are often users who say: "Why would you jump through so many hoops, when you can do the same with a single line of code in FFmpeg!?"

In this article we will once again return to the tired topic of webinars and webinar hosting tools. And no, we're not about to code a whole new system for webinar hosting – there are already plenty of those. Instead, we will talk about connecting drawing software to the webinar, so that you could manually draw and broadcast the process.

A few weeks ago we wrote an article about Docker and WebRTC servers and talked about the intricacies of launching containers. Our readers (rightly) questioned whether Docker was a suitable tool for production, for the following reasons:

The popularity of online education is increasing every month. And since there is an increase in popularity, there is an increase in competition and an improvement in quality: many authors of online schools realized that nowadays it's not enough to just make something mediocre using the frontal camera of the iPhone 4. You need to work on the quality of the picture, sound, presentation of material, etc. Not only did the pandemic prove that you can teach salsa and even crochet online, so it also gave an excellent push to improve the materials taught + diversity in the labor market. Moms on maternity leave can rejoice - now you can truly earn a hundred thousand million per second, sitting at home.

During the lockdown, which is now weakening, then becoming more active with a vengeance, a huge number of new professions have appeared. Proficients in creating involving Instagram Stories, course producers, e-learning specialists and other unknown-before-creatures - all of them have mastered a new job that gave them the holy bread in the pandemic. Once you hire a creator of involving Instagram Stories (and let's all hope this person was teached by a professional, not a snake oil salesman), your business grows just with adding some creativity in advertising that will take the heart of even the most fastidious customer. Same works with e-learning specialists: you recruit them and they do all the important tasks from writing articles that will also help in promoting your classes to arranging lessons on your Coursera course. A complete flight of imagination: if it seems to you that some jobs don't exist, then you just don't spend enough time online. In general, online work has become popularized as never and now hardly anyone will say: "He is engaged in some kind of garbage - he makes TikToks but it would be better for him to toil at the factory!". In total, online work has become popularized as never and now hardly anyone will say: "He is engaged in some kind of garbage - he makes TikToks, but it would be better for him to toil at the factory!".

The developer or owner of a software product often faces the question of choosing a suitable location for hosting server capacity. As you know, software always meets hardware.

In the previous article we refreshed our memory of WebRTC CDN and the ways this technology helps to minimize latency for WebRTC streams. We also discussed why load balancing and autoscaling wouldn't be amiss in CDNs. Here are the main points from the article: