Part 2: Sample Applications

For the rest of this tutorial, we will be working to build a simple solution that exposes data from Postgres database with custom API. If you’re not familiar with Postgres, don’t worry! No real Postgres experience is needed!

At this point, your development team is quite small and you’re simply building an app to prove out your MVP (minimum viable product). You want to show how it works and what it’s capable of doing without needing to think about how it will work for a large team, multiple developers, etc.

The sample solution is available from GitHub open-source configuration templates.

Create API (Server and Endpoint) #

Define how you want to expose the data. For example,


Let’s create a Server with port number 1111 and an Endpoint with the URI /test

1. Create Server

Add a server by pressing the [Add] drop-down on the top of the screen.

Create Server


The server will be created with a random port number. You can change the port number by press selecting the Server icon which opens the Server settings.

Change Port Number

  • Change the port number to 1111
Port Number Change

2. Create Endpoint

Add a server endpoint by pressing the [Add] drop-down on the top of the screen


The endpoint by default has a root path /. You can change the root path by press selecting the Endpoint icon which opens the Endpoint settings.

Change Path

  • Change the path to /test
  • Change the method to GET

Integration with Database #

Use database connector to get data from Postgres

Add Postgres Database Action

From the right panel, press the Action tab, and drag-n-drop the database/Postgres action to the flow

Configure Postgres Data Action

Enter the credentials for the database.

query: [S] SELECT * FROM public.demo
address: [S]
port: [N] 5432
username: [S] psdju
password: [S]
database: [S]
format: [processed]
use-mock-result: [B] Uncheck

Output the data into HTTP Response Body.

Drag and drop the response body from the flow transaction data to the output

Check Data: Make sure you are getting the data by going to


Data Transformation

Logic Execution: Transform data and apply automation. There are many data handling actions available.

Join “First and Last” name

For this exercise, we will join two strings using the string/join action.

Add String/join action to the flow

Configure String/join Action

Be sure to set output to “Response/body”

Check data: Go to the URL http://localhost:1111/test to check the data.

Reformat Timestamp

For the second exercise, we will change the format of date and time as below.

2021/04/16  ----->   2021-04-16

Add String/replace action to the flow

Configure String/replace action

Be sure to set output to “Response/body”

Check data: Go to the URL http://localhost:1111/test to check the data.

Download More Solution Templates

GitHub API AutoFlow Solutions Repository

Examples of solutions can be found in the below repository

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