Reference | Defining settings at the instance level#
When you provision an instance, the instance takes on the settings and parameters defined in the instance template. However, there are some settings that you can define at the instance level. You can define the following settings and more:
Type of DSS node (only at the time of provisioning)
Machine type (memory and CPU)
Data disk (type, size, encryption)
IP addresses assignment
SSL properties
Snapshots policy
Fleet Manager tags and AWS tags
After you provision the instance, some settings cannot be changed. For example, you cannot modify the type of node (i.e., the Design, Automation, or Deployer node) or the data disk encryption (along with its encryption key and the type of disk used).
A provisioned instance of Dataiku on AWS is an Amazon Elastic Compute Cloud (EC2) instance provisioned from an Amazon Machine Image (AMI) template. This AMI is created and made available by Dataiku. A data disk is attached for storing Dataiku data.
When you provision an instance, the instance takes on the settings and parameters defined in the instance template. However, there are some settings that you can define at the instance level. You can define the following settings and more:
Type of DSS node (only at the time of provisioning)
Machine type (memory and CPU)
Data disk (type, size, encryption)
IP addresses assignment
SSL properties
Snapshots policy
Fleet Manager tags and Azure tags
After you provision the instance, some settings cannot be changed. For example, you cannot modify the type of node (i.e., the Design, Automation, or Deployer node) or the data disk encryption (along with its encryption key and the type of disk used).
A provisioned instance of Dataiku on Azure is an Azure Virtual Machine (VM) instance provisioned from an Azure image template. The image template is created by Dataiku and is made available through the Azure marketplace. A data disk is attached for storing Dataiku data.
Note
Fleet Manager provides a single user interface for managing your DSS instances and modifying instance settings. While this allows for flexibility, your modifications can significantly impact your Dataiku users or cause unwanted results.