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  1. Abstract
  2. Supported Versions
  3. Install PowerCenter on Kubernetes
  4. Manage Existing PowerCenter Deployments
  5. Troubleshooting
  6. Appendix: Sample Silent Properties for Build Image

Install PowerCenter 10.5 on Kubernetes with Informatica Deployment Manager

Install PowerCenter 10.5 on Kubernetes with Informatica Deployment Manager

Configure the Data Integration Service

Configure the Data Integration Service

In the
Data Integration Service information
section of the
Create service
page, you can configure the service parameters for the Data Integration Service.
  1. Enter the name of the Data Integration Service. Default value is dis.
    • The name of the service must be unique within the domain. It must not exceed 128 characters or begin the special character
      @
      . It must also not contain spaces or the following special characters:
      ` ~ % ^ * + = { } \ ; : ' " / ? . , < > | ! ( ) ] [
    • You cannot change the name of the service after it is created.
  2. Specify the domain name, working directory, and worker node count for the application service. The default value for domain name is domain.
  3. Enter the image name and HTTP port of the node on which the Data Integration Service needs to run. The default HTTP port is 8075.
  4. Optionally, set additional environment variables, expose additional ports, and add additional host alias names for the service.
    If you choose to set additional environment variables, expose additional ports, or add additional host alias names for the service, ensure that you also include the existing values in the list. This prevents the existing domain configurations from getting affected.
  5. Enter the name of the Model Repository Service associated with the Data Integration Service. Also, enter the user name and password of the user account that has permissions to manage the Model Repository Service.
  6. Optionally, choose to enable Kubernetes autoscaling.
    The Horizontal Pod Autoscaler scales the number of pods in a deployment or replica set based on the CPU utilization mentioned for the CPU load factor. Kubernetes creates horizontally scalable worker nodes that are added to the grid with the Data Integration Service process enabled.
  7. If you choose to enable Kubernetes autoscaling, enter the worker node, CPU utilization, and memory utilization information to autoscale:
    • Minimum number of nodes
      . The minimum number of worker nodes to create in the domain. Default is 2.
    • Maximum number of nodes
      . The maximum number of worker nodes to create in the domain. Default is 4.
    • CPU load factor
      . Kubernetes autoscales the Informatica worker nodes after monitoring the Kubernetes worker node and when the Kubernetes worker node reaches the value set for the CPU percentage metrics. Default is 75 percent.
    • Memory load factor
      . Kubernetes autoscales the Informatica worker nodes after monitoring the Kubernetes worker node and when the Kubernetes worker node reaches the value set for the memory percentage metrics. Default is 80 percent.
  8. Optionally, choose to configure the pod resources, and then update the request and maximum limit values of CPU and memory resources allocated for the service.
  9. Click
    Create service
    .
The service is created. You can view the status of the service along with the tasks performed by the installer in the log summary.


Updated May 31, 2021