Build and Run the Transcode Sample on public cloud or local machine

The Open Visual Cloud is highly optimized for the latest Intel® Xeon® Scalable Processors. Developers can use their own x86 development system to build, customize, and evaluate Open Visual Cloud reference pipelines, or use a public cloud to assess system scalability and performance.

1. Create a compute cluster consisting 1 nodes in the cloud.

 The above instance configurations should be able to support 4 clients in parallel.

2. Prerequisite

For AWS, run the following commands to install the software packages required to build the sample:

$ sudo yum update –y

$ sudo amazon-linux-extras install –y docker

$ sudo service docker start

$ sudo yum install –y cmake git

For Azure and GCP, follow https://docs.docker.com/install/linux/docker-ce/debian/ to install docker.ce. Run the following command to install cmake and git

$ sudo apt-get install –y cmake git

Initialize docker swarm as we will use docker swarm for deployment.

$ sudo docker swarm init

To add a worker to this swarm, run the following command:

docker swarm join --token SWMTKN-1-5zc7a41qkmlnkzp27a8yiplj8kdpyl2tovs318h3p3mjst8ju4-7m25p4wowiytut5wvdxjcqzho ip

3. Clone the Sample Source Code

Run the following command to clone the CDN-Transcode-Sample source code

4. Build the Sample

Run the following commands to build the CDN-Transcode-Sample.

$ cd CDN-Transcode-Sample
$ mkdir build
$ cd build
$ cmake ..
$ cd xcode-server/ffmpeg-sw
$ make 
$ cd cdn-server
$ make
$ cd deployment/docker-swarm
$ make

5. Start the Sample Service

$ make start_docker_swarm

Total reclaimed space: 465.8MB
Ignoring unsupported options: restart

Creating network ovc_default
Creating service ovc_kafka
Creating service ovc_kafka-init
Creating service ovc_cdn-server
Creating service ovc_vod-transcode-server
Creating service ovc_live-transcode-server
Creating service ovc_zookeeper
Built target start_docker_swarm

6. Test the Sample