Pipeline Module In Cannabis Mobile App
About Project
WeedTube was established on March 1, 2018, by a group of video artists who had previously been affected by the "cannabis purge" on YouTube. This "cannabis purge" occurred when the social network platform rapidly deleted user accounts affiliated with the cannabis organization. As a result, the people who had the idea for the startup came together to create an entirely new video-based digital social network that allows users to share cannabis-related content.
Web, Mobile
Platform/OSSocial Network
Category
Brief
Highlights
Customers can now create 3000 posts per second on the platform thanks to Brainers, as they recommended the addition of AWS Beanstalk, Redis, and Kafka to the Pipeline module. Brainers ensured that users could upload 500MB of video in 60 seconds using this advanced Pipeline module without interfering with the community's enjoyment of the film. The ease of use of universal and deep links has aided in the rapid sharing of connections, resulting in a twofold increase in downloads. After extensive testing, including rigorous Beta testing, Brainers added the Pipeline module to the platform to promote a smooth user experience.
Case StudyFeatures
Accelerated Speed And Performance: Our pipeline module, based on AWS Beanstalk, Redis, and Kafka, enabled high-speed streaming regardless of concurrent users. This allowed users to upload posts, videos and snips instantly.
Reduced Uploading Speed: Our Brainers used AWS acceleration services for faster multimedia transmission. AWS speeds up uploads and downloads to satisfy users.
Executed Beta Testing: Our team examined the site daily to detect and eliminate obstacles before people could utilize it. Thus, our team delivered a remarkably improved WeedTube platform with advanced features.
The Use Of Deep Link: WeedTube's new mobile-responsive interface lets users instantly share universal links with other platforms and be routed to the material they're reading and watching.
Tech Stack
elasticsearch
Kafka
Redis-Cache
Firebase
Amazon Web Server
JW Player
NodeJS
Angular
IOS
Android
Laravel
