Configuring Cloud and hybrid systems

Perform the following tasks to configure your Cloud or hybrid Netcool® Operations Insight® system.

Scaling down and scaling back up EDB Postgres
Learn how to scale down and scale back up EDB Postgres.
Configuring Impact on cloud
Perform the following tasks to configure IBM® Tivoli® Netcool/Impact on your cloud deployment.
Configuring the ONAP AAI service
The Open Network Automation Platform (ONAP) Active and Available Inventory (AAI) service provides an interface to the ASM graph database. The AAI acts as the data store for the components being used, to provide telecoms network functionality. The service improves support for logical network deployment elements, services, and deployment models. The service converts an AAI query into multiple queries to Agile Service Manager, based on primary keys, relationships, or brute force queries.
Configuring alert fields for metric analytics
Sometimes the resourceID for the KPIs can have multiple parts and it might be that only one part is displayed, thus making some alerts appear as duplicate entries in the Alerts list. Learn how to configure the fields available to display.
Connecting a Cloud system to event sources
Learn how to connect to event sources.
Configuring incoming integrations
Configure incoming integrations from a wide range of Cloud event sources to provide event data to help monitor your environment.
Configuring automation types
For semi-automated and fully-automated runbooks, which use automations of type script or type Ansible®, a connection must be set up to connect to your target endpoints. To trigger runbook executions from incoming events, set up a trigger connection. You can add, edit, or delete the connection for each automation provider or the event trigger provider.
Configuring Netcool subsystems by using APIs
Use APIs to perform a wide range of configuration tasks on Netcool Operations Insight, including Event management, metric anomaly detection, Probable cause, and Runbook Automation.
Trying out cloud native analytics
In order to process data into useful analytics results, the various cloud native analytics algorithms train automatically in the background on a regular basis by processing a predefined set of historical data. If, alternatively, you want to try out cloud native analytics with sample data sets and see the results immediately then you can use the manual procedures provided in this section.
Configuring analytics
You can switch different analytics algorithms on and off. You can also change settings for active configuration algorithms.
Configuring guardrails
You can partition scope-based and temporal event groups generated by Cloud native analytics by using guardrails.
Configuring extensions
After installing the Advanced Agile Discovery or Network Manager extensions, you can configure optional components.

Parent topic: Configuring