Building Own RTMP Server

Overview

This project documents the development and integration of a custom RTMP (Real-Time Messaging Protocol) server aimed at facilitating video streaming for an AI interview platform. It outlines the motivations behind the decision to build a proprietary solution, the challenges faced with existing services, and the successful implementation of the custom RTMP server.

Motivation

During an internship at Acencore, the task of developing an AI interview platform was assigned. Among the pivotal requirements was the seamless streaming of video content from the browser to the server. This necessitated the exploration of various streaming solutions.

Challenges Faced

Initial attempts involved leveraging YouTube's RTMP server, which presented limitations in terms of control over video content. Consequently, transition to Amazon's Interactive Video Service (IVS) was considered. However, the associated costs posed a significant barrier to adoption.

Solution

To address the challenges encountered with existing solutions, the decision was made to construct a custom RTMP server tailored to the project's specific requirements. This endeavor involved the development of requisite infrastructure and protocols to ensure smooth and efficient video streaming.

Implementation

The custom RTMP server was successfully implemented and seamlessly integrated into the project workflow. This solution not only mitigated cost concerns but also provided enhanced control and flexibility over the streaming process. The platform achieved its objectives of real-time video streaming and integration with machine learning analysis.

Working Parts

To ensure the successful implementation of the custom RTMP server, several components and configurations were utilized. Below are the key working parts involved in the process:

Configure RTMP Statistics for Monitoring

Once your RTMP server is installed and operational, it's crucial to set up the RTMP statistics page to monitor your streaming activities effectively. Follow the steps below to configure the RTMP statistics page:

1. Create Directory for RTMP Stat File

First, create a directory to store the RTMP stat file using the following command:

mkdir /var/www/html/rtmp

2. Copy RTMP Stat File

Next, copy the RTMP stat file to the created directory:

cp /usr/share/doc/libnginx-mod-rtmp/examples/stat.xsl /var/www/html/rtmp/stat.xsl

3. Edit Nginx Virtual Host Configuration

Edit the Nginx default virtual host configuration file:

nano /etc/nginx/sites-available/default

Remove all default lines and replace them with the following configuration:

server { listen 8080; server_name _; # RTMP stat location /stat { rtmp_stat all; rtmp_stat_stylesheet stat.xsl; } location /stat.xsl { root /var/www/html/rtmp; } # RTMP control location /control { rtmp_control all; } }

Save and close the file.

4. Restart Nginx Service

Restart the Nginx service to apply the changes:

systemctl restart nginx

5. Access RTMP Stat Page

Now, open your web browser and navigate to the RTMP stat page using the URL http://your-server-ip:8080/stat. You should be able to view the RTMP statistics on the displayed page.

Remember to refresh the page every time you stream a video to observe changes in the stream statistics effectively.

These components and configurations collectively enabled the establishment of a custom RTMP server, facilitating seamless video streaming for the AI interview platform.

Conclusion

The development and integration of the custom RTMP server proved instrumental in the success of the AI interview platform at Acencore. This initiative not only addressed the immediate project requirements but also demonstrated innovation and problem-solving capabilities.