Search Results for "storage"

...Include custom emotes and build chat bots to encourage engagement from your viewers. Point your existing broadcasting software at your Owncast server and begin streaming. Owncast can work with different storage providers to optionally scale your videos to many viewers using only low-powered hardware. Owncast is for people who are live streamers, or who wants to host live streams for others. It’s a “one to many” broadcast much like Twitch, Facebook Live, YouTube Live, etc. Owncast is not for video conferencing or any use case where multiple people are wanting to see video of each other.

...The system enables dynamic playlist generation, allowing insertion of elements like ads or bumpers directly into video streams. It supports scalable deployment through containerized environments and integrates storage backends like S3 for efficient media distribution. Superstreamer also includes a player abstraction layer that simplifies integration with frontend interfaces. Its architecture focuses on reducing the complexity of building streaming infrastructure while maintaining flexibility and control. Overall, it functions as an end-to-end toolkit for modern video delivery systems.

...It is built around a containerized architecture using Docker, where multiple services handle media indexing, streaming, and configuration. The system allows users to access their content from a browser while maintaining control over storage and playback infrastructure. Kyoo supports hardware acceleration options for efficient video processing, making it suitable for high-resolution streaming environments. Its configuration relies on environment variables and Docker Compose, enabling flexible deployment across different systems. The platform emphasizes modularity, allowing users to customize storage locations, streaming settings, and performance parameters. ...

Live Auto Record is an automated live stream recording tool designed to monitor and capture streams from multiple online platforms without manual intervention. It continuously checks specified channels or rooms and automatically begins recording when a stream goes live. The system is built to support long-running processes, allowing users to maintain persistent monitoring of multiple sources simultaneously. It integrates FFmpeg for recording and processing streams, ensuring compatibility...

...It packages FFmpeg binaries and provides examples of how to execute video and audio processing tasks in a serverless context. The system allows users to perform operations such as transcoding, resizing, and format conversion without managing dedicated servers. It leverages cloud storage services like S3 for input and output handling, enabling scalable processing pipelines. The project demonstrates how to overcome Lambda limitations such as execution time and storage constraints. It is designed for integration into event-driven architectures where media processing is triggered automatically. Overall, it provides a practical solution for serverless multimedia processing.