How to Setup a Scalable Ultra Low Latency Streaming Cluster in AWS — Ant Media Server

  1. Implement your own ultra-low latency solution.
  2. Use one of the Platform as a Service (PaaS) solutions.
  3. Use a scalable software solution that you can run on your own cloud. You’ll just use your own Infrastructure as a Service (IaaS) to create your streaming service.

Infrastructure as a Service is already rising

Getting Started for Ultra-Low Latency Streaming Service on AWS

  • Load Balancer: LB is the entrance point for the publishers and players. Load Balancer accepts the requests from publishers or players and forwards the requests to the available node in the cluster.
  • Origin Auto-Scalable Group: Nodes(Instances) in the origin group accept the publish requests and ingest the incoming WebRTC stream. When an origin instance accepts a WebRTC stream, it saves the related information to the MongoDB Database Server.
    There may be one node or multiple nodes in the origin group. It may even be manually or auto-scalable. In our deployment, it’s auto-scalable in AWS.
  • Edge Auto-Scalable Group: Node(Instances) in the edge group accepts the play requests. Then it learns from MongoDB which origin node has the related stream. After that, it gets the stream from the related origin node and sends the stream to the player.
  • MongoDB Database Server: Ant Media Server uses MongoDB in clustering. Streams information is saved to MongoDB so that edge instances can learn any stream’s origin node.

Step 1: Install MongoDB Server

  • Click “Launch” Instance.
  • Search for “Ubuntu” and Select “Ubuntu 20.04”.
  • Choose Instance Types like m4.xlarge or m5.xlarge series. There are two points here.
  • The first one is you may optionally choose a bigger instance according to your streaming load.
  • The second one doesn’t use any m5a instances because they have ARM architecture.
  • Click “Configure Security Group” in the image.
  • Add “22” and “27017” TCP ports as follows in the image. The warning is critical for security. We’ll restrict the source into a VPC later. Just click “Review and Launch”.
  • In the coming window, it will ask to specify the key file. Choose “Create new key pair” and click the “Download Key Pair” button. After the key file is downloaded click “Launch Instances”.
  • Right now, your instances should be launching as shown in the image.
  • Go to EC2 Instances and Click the “Connect” button.
  • It shows a dialog as follow and connect to the instance via ssh
  • Right now, you should connect to your instance. To Connect your instance, open a terminal and run a command something like below. Please change {YOUR_KEY_FILE} and {INSTANCE_PUBLIC_IP} with your own credentials. For our case, they are “ant.pem” and “”.
  • ssh -i {YOUR_KEY_FILE} ubuntu@{INSTANCE_PUBLIC_IP}

Install MongoDB to Your Instance

  • After you get connected, run the following commands in order to install MongoDB to your instance
$ sudo apt-key adv --keyserver hkp:// --recv 9DA31620334BD75D9DCB49F368818C72E52529D4
$ echo "deb [ arch=amd64,arm64 ] xenial/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list
$ sudo apt-get update
$ sudo apt-get install -y mongodb-org
  • Open /etc/mongod.conf file with an editor like nano and change bind_ip value to to let MongoDB accept connections in all interfaces and save it.
  • Restart mongod and enable service.

Step 2: Install Scalable Origin Group

  • Click “Auto Scaling > Launch Configurations” and Click “Create Launch Configurations”
  • You can see the name field just under the Create Launch Configuration header. Give a name something like “OriginGroup”.
  • In Launch configuration you need to search AMI of Ant media server using image Id as per your AWS region. You can see the image Ids here. For example, we are using ap-south-1 image Id in our cluster as shown in the below image.
  • Choose instance type, in our sample we choose c5.xlarge. You can choose any instance type according to your project and after proceed to the next step.
  • In the coming window, as shown in the image below, We need to give name and set User data.
  • Then click the “Advanced Details” title. You will see the “User data” text area. Right now, copy the text below, change the “{MongoIP}” field with the MongoDB IP Address in the script and paste it to the “User data”.
  • After that Click “Skip to review”
cd /usr/local/antmedia
./ cluster {MongoIP}
  • Now you have to create a new security group for Auto scaling group in which the below ports need to be whitelisted as shown in the image.
  • Click “Create Launch Configuration”.
  • After the launch configuration is created successfully, go to Auto Scaling Groups in the EC2 section and create Auto Scaling Group.
  • Give a name to scaling group. We give “AMS-Origin-Group” as a name and then Switch to launch configuration as by default it is selected to Launch template. Select your launch configuration group that you have created earlier for the origin group as shown in the below image.
  • Choose “ap-south-1a” subnet. We choose only one subnet to let all instances appear in the same subnet for having better connectivity.
  • In Configure advance options you need to select the existing load balancer option that we will create later to attach auto scaling groups with it.
  • Choose your scaling policy. In our sample below, our origin group will scale up to maximum of 10 instances by providing Average CPU Utilization with %60. Then Click Next and Next.
  • Lastly, the review screen will come and click the “Create Auto Scaling group”.

Step 3: Install Scalable Edge Group

Step 4: Install Load Balancer

  • Click the “Load Balancing > Load Balancers” on EC2 Service and Click the “Create” button under Application Load Balancer.
  • Give a name to your Load Balancer and the basic configuration should be like in the image below and choose ap-south-1a and ap-south-1b for availability zones.
  • Now we need to choose a load balancer security group which we will create by clicking create new security group option.
  • Before moving further in Load balancer configuration we need to create target groups for both Origin & Edge and forward with HTTP through 5080 port. In the Register Targets group, do nothing, just proceed because we bind target later. In the below example, we have created the origin target group and the same for Edge will be created.
  • After creating Target Groups, again go to EC2 > Target Groups > Edit attributes and change the Load Balancing algorithm for Edge and Origin as below.
  • Now continue load balancer configuration, choose both HTTP and HTTPS by clicking “Add listener”. The port settings should be like in the image below and we need to bind target groups now to forward requests to origin & edge target groups. Also in Auto scaling groups advance configuration please attach the created load balancer now.
  • Now Choose your domain certificate in Secure listener settings for secure streaming (If you don’t know how to create a certificate for ACM, please follow this guide and create a load balancer. Also, don’t forget to add CNAME for your load balancer. For instance, every load balancer has a DNS name like “” so you need to add CNAME for your subdomain that points to your load balancer address.

Logging in Ant Media Server Web Panel

echo -n 'new-password' | md5sum
$ mongo
> use serverdb
> db.getCollection('User').find()
> db.User.updateOne({"_id": "5e978ef3c9e77c0001228040"}, {$set:{password: "md5Password"}})

Enable IP Filtering

Test Flight




Ant Media Server, open source software, supports publishing live streams with WebRTC and RTMP. It supports HLS(HTTP Live Streaming) and MP4 as well.

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Ant Media Server

Ant Media Server

Ant Media Server, open source software, supports publishing live streams with WebRTC and RTMP. It supports HLS(HTTP Live Streaming) and MP4 as well.

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