It is a server designed with hardware capacity to process large videos at different qualities and bitrates previously defined, which optimizes time and automates the content encoding.
The following formats are supported: m2v, .m1v , .m3u8, .avi, .divx, .xvid, .f4v, .flv, .mkv, .m2ts, .m2t, .mts, .ts, .trp, .mpeg, .mpg, .mpeg, .mp4, .m4v, .f4v, .mxf, .mov, .vob, .wmv, .asf
For more information on video formats and their definitions, we invite you to check the following link:
https://docs.aws.amazon.com/elemental-server/latest/ug/supported-containers-input.html
Video processing
Watchfolders: Shared and configured folder that detects every second of new videos. Qualities, bitrate, pre / post processing tasks and specific parameters are previously established to transcode the content.
Through different watchfolder, the publication of the uploaded videos is automated by means of shared paths in Platform.
When logging into the Elemental Server, the screen by definition displays the videos that have been added to the active watchfolder and their processing status. The corresponding symbology is shown below:
Green color: The job is successfully processing the content.
Red color: There is a processing error.
Orange color: there is an alert in the process.
The states in which a video can be found are:
Complete: The stream to which the video was subjected was successfully completed.
Pre-Processing: The video is being taken from the original location to start the default stream.
Post-Processing: The video has successfully finished the transcoding process and is being removed, transferred, etc. (depending on configuration).
Error: The job has failed at some point. The job logs should be checked to determine what happened.
A job with error is displayed as follows:
To view the logs, you must enter the job using the Magnifying Glass icon and in the Log File section you will be able to determine what caused the error in the processing.
If you have any related questions please feel free to write us through the chat.
Atte. Mediastream team
