Novelty Trial

Prerequisites

The Novelty trial version requires an API Key to run an instance. To get an API Key for your free trial of thatDot Novelty, click here and fill out the free trial form. An API Key will be emailed to you after form submission.

Getting Started with thatDot Novelty

Getting started is easy:

  1. Download the software - this is a Java JAR file, if you would prefer a Docker Container please contact the thatDot Support team (support@thatdot.com).
  2. Create a configuration file (.conf extension) containing the API key and associated email address and place it adjacent to your downloaded JAR file (in the same directory). This is just a plain text file.
  3. Start your instance of Novelty

Download the Software

Get started by downloading the trial version. This trial version requires an API Key to launch an instance.

Create the Configuration File for thatDot Novelty

After downloading the trial version, you will need to create a configuration file with your email address and API Key. This file has a .conf extension and should be placed in the same directory as your JAR file. To get an API Key, click here and fill out the free trial form. An API Key will be emailed to you after form submission.

thatdot {
  novelty {
    trial {
      email = "YOUR_EMAIL@EMAIL.COM"
      api-key = "TRIAL_API_KEY"
    }
  }
}

Start Instance of thatDot Novelty

Start the trial instance of Novelty with your configuration file using the following command (in this example, the file is called novelty.conf):

java -jar -Dconfig.file=novelty.conf novelty-trial.jar

You can also choose to configure your instance on the command line when launching an instance instead of using a configuration file:

java -jar -Dthatdot.novelty.trial.email=YOUR_EMAIL@EMAIL.COM -Dthatdot.novelty.trial.api-key=TRIAL_API_KEY novelty-trial.jar

Key Resources to Help Guide You

Once you have the software downloaded and the initial configuration file created you are ready to go.

These materials will help you navigate setting up pipelines, querying real-time data, and detecting anomalies.

1.7.3