AWS Aurora Postgres
Faraday easily integrates with AWS Aurora, enabling you to embed AI-powered predictive analytics anywhere else in your stack. Discover your brand's bespoke personas, score your customers for churn risk, find repeat purchasers, and more, enabling you to confidently engage the right customers, at the right time, with personalized, relevant content. The best part? No code—and no PhD—required.
Make sure you have a Faraday account (signup is free!) and that it's not in test mode.
You'll need the following details to create your connection to AWS Aurora Postgres:
- Schema required
- Host required
- Load balancer DNS name optional — In case the host is deployed behind a load balancer.
- Port required
- SSH bastion optional — In case the host is deployed behind an SSH bastion / jump server. Uses the Faraday SSH public key. This is the address of the bastion including username. For example, email@example.com
- User required
- Password required
- Database required
Setting up your connection
First, you'll need to grant Faraday access to AWS Aurora Postgres.
Amazon Aurora is a serverless database providing a MySQL or Postgres compatibility layer. Postgres connections are host-based and require a user and password. We suggest that you create a Faraday-only schema to both send and receive data. Within this schema, Faraday would have full read and write access. Alternatively, you can give Faraday access to certain tables in a shared schema.
CREATE USER faraday_user WITH PASSWORD '***'
CREATE SCHEMA faraday_schema
ALTER DEFAULT PRIVILEGES IN SCHEMA faraday_schema GRANT ALL ON TABLES TO faraday_user
GRANT USAGE, CREATE ON SCHEMA faraday_schema TO faraday_user
This connection type can be placed behind an SSH bastion (aka jump server). In that case, specify the user and host of the SSH bastion.
This connection type can also be placed behind a load balancer. In that case, specify the host of the load balancer. Faraday suggests that you use an unguessable string somewhere in the path to your data. This avoids what is called the Confused deputy problem
For example, instead of naming an S3 bucket
s3://faraday-acme-pwiiprz162ez. This guarantees that
malicious actors cannot guess the name and request that Faraday import data
from it into their account. The same logic applies to any path that is used to
Creating your connection
Now you can connect Faraday to AWS Aurora Postgres.
- In the navigation sidebar, choose Connections.
- Click the New Connection button.
- Fill out the form
Wait briefly while Faraday establishes your connection. It shouldn't take long.
Your new connection is now ready to use!