Amazon Elastic Transcoder vs FFMPEG - Stack Overflow.
Amazon Elastic Transcoder is media transcoding in the cloud.It is designed to be a highly scalable, easy to use and a cost effective way for developers and businesses to convert (or “transcode”) media files from their source format into versions that will playback on devices like smartphones, tablets and PCs.Elastic Transcoder is a RESTful web service that uses HTTPS as the protocol and JavaScript Object Notation (JSON) as the message format. Your application code can make requests directly to the Elastic Transcoder API. When using the REST API directly, you must write the necessary code to sign and authenticate your requests. For more information about the API and about signing requests, see.I would like to know which transcoder (Amazon Elastic Transcoder or FFMPEG) would be best for handling conversions parallely when there is a huge traffic. There could me approximately thousands of users watching the videos and may be hundreds uploading the videos at the same time. I'm using Amazon EC2 for deployment and the traffic is mostly.
I'm working a JAVA web project and upload media on S3 with liferay as backend. Now I want to transcode those videos with Elastic Transcoder and then stream them. I want to create a script that helps me process the videos from my project automatically rather than going to Elastic Transcoder console and then making a job every now or then.Amazon Elastic Transcoder Developer Guide A pipeline can process more than one job simultaneously, and the time required to complete a job varies significantly based on the siz e of the file y ou're con verting and the job specifications.
If you find that using AWS Elastic Transcoder is too expensive, and you don't want to use an EC2 instance for transcoding, perhaps this might help you out. In the previous post we created a static SOX binary that can be executed inside an AWS Lambda Container.In this post we are going to use it to trigger it when uploading an audio file to an S3 bucket, transcode it, and upload the result to.
