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• Best practices for developing scalable video transcoding server on Amazon Web Services ? [closed]

  5 février, par undefined

  What do people think are the most important issues when developing an application that is going to allow users to upload video and images to a server and have them transcoded by FFMPEG and stored in amazon S3 ? I have a couple of options ;

  


  

  1. install FFMPEG on the same server that handles file uploads, when a video is uploaded and stored on EC2 instance, call FFMPEG to convert it then when done, write the file to S3 bucket and dispose of the original.

  


  


  How scalable is this ? What happens when many users upload at the same time ? How do I manage multiple processes at once ? How do I know when to start another instance and load balance this configuration ?

  


  

  2. Have one server for processing uploads (updating database, renaming files etc) and one server for doing transcoding. Again what is the best way to manage multiple processes ? should I be looking at Amazon SQS for this ? Can I tell the transcoding server to get the file from the upload server or should I copy the file to the transcoding server ? Should I just store all files on S3 and SQS can read from there. I am trying to have as little traffic as possible.

  


  


  I am running a linux box as the upload server and have FFMPEG running on this.

  


• install ffmpeg on amazon ecr linux python

  27 mai 2024, par Luka Savic

  I'm trying to install ffmpeg on docker for amazon lambda function.
Code for Dockerfile is :

  


  FROM public.ecr.aws/lambda/python:3.8

# Copy function code
COPY app.py ${LAMBDA_TASK_ROOT}

# Install the function's dependencies using file requirements.txt
# from your project folder.

COPY requirements.txt  .
RUN  yum install gcc -y
RUN  pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}"
RUN  yum install -y ffmpeg

# Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
CMD [ "app.handler" ]


  


  I am getting an error :

  


   > [6/6] RUN  yum install -y ffmpeg:
#9 0.538 Loaded plugins: ovl
#9 1.814 No package ffmpeg available.
#9 1.843 Error: Nothing to do


  


• Best practices for developing scalable video transcoding server on Amazon Web Services ?

  6 septembre 2016, par undefined

  What do people think are the most important issues when developing an application that is going to allow users to upload video and images to a server and have them transcoded by FFMPEG and stored in amazon S3 ? I have a couple of options ;

  1) install FFMPEG on the same server that handles file uploads, when a video is uploaded and stored on EC2 instance, call FFMPEG to convert it then when done, write the file to S3 bucket and dispose of the original.

  How scalable is this ? What happens when many users upload at the same time ? How do I manage multiple processes at once ? How do I know when to start another instance and load balance this configuration ?

  2) Have one server for processing uploads (updating database, renaming files etc) and one server for doing transcoding. Again what is the best way to manage multiple processes ? should I be looking at Amazon SQS for this ? Can I tell the transcoding server to get the file from the upload server or should I copy the file to the transcoding server ? Should I just store all files on S3 and SQS can read from there. I am trying to have as little traffic as possible.

  I am running a linux box as the upload server and have FFMPEG running on this.

  Any advice on best practices for setting up such a configuration would be appreciated. Many thanks