Checkout Browsertimes Travis-CI configuration to see what’s needed. You need FFMPeg, ImageMagick and a couple Python libraries. If you use our Docker container you get that for free, else you need to install all the Visual Metrics dependencies yourself. When we got the video we use Visual Metrics (built by Pat Meenan) to analyse the video and get SpeedIndex and other visual metrics from the video. Video works on Linux and OS X at the moment. The easiest way is to use our Docker container with pre-installed FFMpeg and if you use the npm version, you can record a video too. We use FFMpeg to record a video with 30 fps of the screen (but you can configure the number of frames per second). Compare two video runs (combine two videos) The stack (easy with Docker) #.Remove timer and metrics from the video.

Add AliasOnce the Docker Installation has been completed, add below line in ~/.bashrc file $ alias ffmpeg='docker run -v=`pwd`:/tmp/workdir jrottenberg/ffmpeg'.

Pull docker ffmpeg image $ docker pull jrottenberg/ffmpeg.

Installing docker as a root user $ wget -qO- | shThe above command downloads and executes a small installation script written by the Docker team.

This method is recommended for servers that use ffmpeg based application less frequently.

Recommended for VPS as it consumes very less server resources.

This makes for efficient, lightweight, self-contained systems and guarantees that software will always run the same, regardless of where it’s deployed. Unlike VMs, containers do not bundle a full operating system – only libraries and settings required to make the software work are needed. Using containers, everything required to make a piece of software run is packaged into isolated containers. Docker to run and manage apps side-by-side in isolated containers to get better compute density.

Ffmpeg docker