AWS
Guide for running the Taraxa Node with Docker on Amazon Web Services (AWS)
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Guide for running the Taraxa Node with Docker on Amazon Web Services (AWS)
Last updated
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You should create account on Amazon Web Services
Please note that account confirmation usually takes about 24 hours
To create access keys for an IAM user:
Sign in to the AWS Management Console and open the IAM console at
In the navigation pane, choose Users.
Create new user with Access type
set to Programmatic access
or choose the name of the user whose access keys you want to create, and then choose the Security credentials tab.
In the Access keys section, choose Create access key.
To view the new access key pair, choose Show. You will not have access to the secret access key again after this dialog box closes. Your credentials will look something like this:
Make a note of that keys. We will use it in the next step.
If you are running this on Windows you will first need to install Windows Subsystem for Linux. You can use .
Export your AWS access keys to your environment so that the node creation script can access it without prompting you for it:
Otherwise, the installation script will ask you for access keys interactively
Then you can download and run the node creation script using this command:
The script you fetch and run in the next step depends on the network you want to deploy your node to. Please be sure to select between mainnet and testnet as desired.
Download and run the node install script for the type of node you wish to deploy:
Mainnet Full Node:
Mainnet Light Node:
Look carefully at the output of the script, if everything went well, the script will write the AWS region in which the node was deployed, the IP address of the node and the command to connect to the node via SSH.
NOTE: It takes a few minutes after the droplet starts to install the Taraxa Node software.
You can use the following commands inside the created server to check if the node is up and running:
Now you should see a new server in your (select the correct region in which your node was deployed).