Connecting to a Private Heroku Postgres Database from an Amazon VPC
Last updated 10 October 2019
Table of Contents
This article describes how to use AWS PrivateLink to create a secure connection between an AWS VPC and a Heroku Postgres database running in a Private Space. This process involves three high-level steps:
- Creating an Endpoint Service on your private Heroku Postgres database
- Creating an Endpoint Network Interface in your AWS VPC
- Establishing the secure connection between the two endpoints
As part of setting up the connection, you can specify a list of approved accounts to limit access to your private database from the VPC.
Note that to use this feature, the Amazon VPC Endpoint you create must be provisioned in a subnet that is in the same region as your Heroku Postgres database.
The following Heroku resources are required to set up a PrivateLink endpoint:
A Private Space. This article describes how to create a Private Space using either the Heroku Dashboard or the Heroku CLI.
A Heroku app running in the Private Space with an attached Heroku Postgres database. Note that all Heroku Postgres instances running in a Private Space use one of the
Provisioning the Heroku endpoint
Step 1: Install the Heroku Data via PrivateLink CLI plugin
$ heroku plugins:install data-privatelink
Step 2: Obtain your AWS account ID
You can obtain your AWS account ID with the AWS CLI like so:
$ aws sts get-caller-identity --output text --query 'Account' 123456789101
The example command above returns an account ID of
You can also obtain your account ID from the My Account page of your AWS account. The Account ID is shown in the Account Settings section:
Step 3: Create a PrivateLink endpoint
Create a PrivateLink endpoint using the following Heroku CLI command (note the values to substitute below):
$ heroku data:privatelink:create POSTGRESQL_ADDON_NAME --aws-account-id ACCOUNT_ID --app APP_NAME
POSTGRESQL_ADDON_NAMEwith the name of your Postgres database (for example,
APP_NAMEwith your app’s name.
ACCOUNT_IDwith the AWS account that should receive access to your Postgres database. This ID can match any of the following patterns:
You can specify the
--aws-account-id flag multiple times to include multiple accounts.
Here’s an example command with accompanying output:
$ heroku data:privatelink:create postgresql-sushi-12345 --aws-account-id 123456789101:user/abc.xyz --app privatelink-vpc-endpoint-demo Creating privatelink... done Service Name: Provisioning Status: Provisioning The privatelink is now being provisioned for postgresql-sushi-12345. Run heroku data:privatelink:wait -a APP to check the creation process.
New PrivateLink endpoints typically take between 5 and 10 minutes to become available. You can track your progress with
heroku data:privatelink:wait --app APP_NAME.
Step 4: Obtain your endpoint’s service name
When the PrivateLink endpoint finishes provisioning, use the following command to view its details:
$ heroku data:privatelink POSTGRESQL_ADDON_NAME --app APP_NAME
POSTGRESQL_ADDON_NAME with the name of your private Postgres database, and replace
APP_NAME with your app’s name.
Here’s an example command with accompanying output:
$ heroku data:privatelink postgresql-sushi-12345 --app privatelink-vpc-endpoint-demo === privatelinks for postgresql-sushi-12345 Service Name: com.amazonaws.vpce.us-east-1.vpce-svc-0410a2e25933fe8ec Status: Operational === Whitelisted Accounts ARN Status arn:aws:iam::123456789101:user/abc.xyz Active Your privatelink is now operational. You must now copy the Service Name and follow the rest of the steps listed in https://devcenter.heroku.com/articles/heroku-postgres-via-privatelink.
Copy the value of the
Service Name field from the command’s output (in the example above, the value is
com.amazonaws.vpce.us-east-1.vpce-svc-0410a2e25933fe8ec). You’ll need this value to provision the Amazon VPC endpoint.
Provisioning the Amazon VPC endpoint
You perform the steps in this section from your Amazon VPC dashboard.
Step 1: Create and configure a security group
Your endpoint requires a security group with appropriate ingress security rules. Click
Create security group in the
Security Groups tab of the your VPC dashboard:
Specify an appropriate security group name and description and select your desired VPC before clicking
Select your newly created security group from the list and click
Actions > Edit inbound rules:
Enable TCP access to ports
5432-5433 from any valid IP address and click
Step 2: Create the endpoint
Navigate to the
Endpoints tab of your VPC dashboard and click
In the Create Endpoint form that appears, select the Find service by name option and paste the
Service Name value you obtained earlier.
Verify to display the list of available subnets:
Attach the security group you created earlier to the VPC Endpoint and click
The endpoint is created with an initial status of
pending acceptance, which transitions to
available after 5-10 minutes:
Connecting the Heroku and Amazon VPC endpoints
After the Amazon VPC endpoint becomes
available, you can obtain the URL that allows your VPC to communicate with your Heroku Postgres database.
First, obtain your PrivateLink endpoint’s Endpoint ID and extract the 17-character string that appears at the end of it. Convert that string to upper case and use it in the command below.
For example, if the Endpoint ID is
vpce-01c87ae3c05563935, the Endpoint ID is
Run the following command, substituting the obtained string where indicated:
$ heroku config --app your_app_name | grep ENDPOINT_ID_HERE
This command displays the AWS VPC Endpoint connection URL and the corresponding connection string for your Postgres database. The connection string has the following format:
You can now use this connection string to connect the applications in your AWS VPC to your private Heroku Postgres database. Here’s an example command with accompanying output:
$ heroku config --app privatelink-vpc-endpoint-demo | grep 01C87AE3C05563935 DATABASE_ENDPOINT_01C87AE3C05563935_URL: postgres://abcdefghijklmn:firstname.lastname@example.org:5432/dd0k757ojc5qt
For any issues or concerns with using this feature, please open a support ticket.
Connecting to Heroku Postgres from EC2 via VPC endpoints
After you configure your VPC endpoints, you can create an EC2 instance in your AWS VPC to connect to Heroku Postgres.
Launch Instance in your EC2 dashboard and select your AMI and Instance Type. In this example, an Ubuntu t2.micro instance is created:
When configuring the instance’s details, select the VPC network with the security group you created earlier and pick an appropriate subnet. Click
Review and Launch and launch the EC2 instance.
After the instance’s status transitions to
running and all status checks have passed, connect to the instance using the SSH key pair you specified during instance creation.
Once connected, install Postgres on your EC2 instance with the following commands:
$ sudo apt-get -qq update && sudo apt-get install -y curl ca-certificates $ curl -s https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - $ sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' $ sudo apt-get -qq update $ sudo apt-get install -y postgresql-client-10
You can then connect to your Heroku Postgres database from the EC2 instance using the following command:
$ psql postgres://user:password@vpc-endpoint-dns-name:5432/database
The following screenshot shows the connection string being used to connect to a Heroku Postgres database from within a sample EC2 instance:
- The Amazon VPC Endpoint you create must be provisioned in a subnet that is in the same region as your Heroku Postgres database.
- You can only connect to your private Postgres database in Availability Zones that are common between your own VPC and the Heroku Data VPC.
- It is your responsibility to verify the security of your VPC to ensure fully secure access to your Heroku Postgres database.
Comparison to Private Space trusted IP ranges
Private Spaces support trusted IP ranges for data services as a beta feature. This feature is an option if you need to connect to a Heroku Postgres database from outside the Private Space boundary. However, you must contact Heroku to enable this feature, and granular access control is not available for it.
By connecting via AWS PrivateLink, your database is treated as part of your own VPC, and you can restrict access to a set of users and roles. Consequently, this method is recommended whenever it is available for your use case.