OMNIbus is used for alert processing and deduplication of alarms. It is used for performing certain actions on any alarm processed through NetCool. It serves as a core component for action triggers and modifications during alarm processing.
I am working as a customer, mainly using IntelliQ and another product, IBM NetCool, Watson AI. These products are used for monitoring network performance and management. The primary use case involves network performance monitoring, and it is compatible only with IBM DB2.
We use the solution for monitoring the HW and network infrastructure of several key corporate applications and network domains in an InsurTech environment. A plethora of HW and network elements are monitored, including the infrastructure of the CRM, ERP, Citrix and Cisco systems, along with the ‘bubble’ DR environment. The monitored infrastructure is mixed, and it varies from relatively old servers for file archiving up to the latest version of high-performance Intel CPU servers. The OS mainly consists of MS Windows and Linux versions.
We are still working on some use cases for the product. We look at the solution as a level of an AI machine learning that we are able to introduce there for that data set and probably enrich it with some more topology data across the network. So, mainly it is our umbrella fault with some automation and machine learning use cases, specifically also pertaining to the country's unique power constraints. For example, we have already deployed the product for power cutouts.
We an implementer and a user of this solution. We are able to use this solution for integration detection, reporting, automation, and event monitoring.
Assistant Vice President at a financial services firm with 10,001+ employees
Real User
Dec 23, 2020
We use it in the banking services domain. We have many devices and interfaces from different vendors. To perform monitoring, we have deployed NetCool at the high-level architecture. We have 50 lines of business (LOB), and we are using NetCool as a central point. It acts as an event manager. For each and every LOB, we deploy other monitoring tools, and from there, we collect all the events and point them to NetCool. We are using NetCool/Impact for ticketing into BMC Remedy. We are now bringing out apps on top of NetCool for predictive analytics. They would be useful for predicting what is going to happen in the future and perform historical analysis of all those things.
This is one of the monitoring tools that we use in-house for our infrastructure. This is not one of the services that we provide to our customers. I use it primarily for event management, where I can do the correlation and analysis I need to configure policies.
IBM Tivoli NetCool OMNIbus provides a comprehensive platform for network performance monitoring and event management. It supports fault management, integrates with routers and switches, and enhances predictive analytics through AI applications.Tivoli NetCool OMNIbus stands out in configurability, scalability, and multi-tenancy with a user-friendly interface that streamlines event management and automation. Integrating seamlessly with SNMP, it handles legacy protocols and promotes accurate...
My current use case for IBM Tivoli NetCool OMNIbus is for monitoring the networks.
OMNIbus is used for alert processing and deduplication of alarms. It is used for performing certain actions on any alarm processed through NetCool. It serves as a core component for action triggers and modifications during alarm processing.
I am working as a customer, mainly using IntelliQ and another product, IBM NetCool, Watson AI. These products are used for monitoring network performance and management. The primary use case involves network performance monitoring, and it is compatible only with IBM DB2.
We use the solution for monitoring the HW and network infrastructure of several key corporate applications and network domains in an InsurTech environment. A plethora of HW and network elements are monitored, including the infrastructure of the CRM, ERP, Citrix and Cisco systems, along with the ‘bubble’ DR environment. The monitored infrastructure is mixed, and it varies from relatively old servers for file archiving up to the latest version of high-performance Intel CPU servers. The OS mainly consists of MS Windows and Linux versions.
We are still working on some use cases for the product. We look at the solution as a level of an AI machine learning that we are able to introduce there for that data set and probably enrich it with some more topology data across the network. So, mainly it is our umbrella fault with some automation and machine learning use cases, specifically also pertaining to the country's unique power constraints. For example, we have already deployed the product for power cutouts.
I use the solution to receive alarms from network sites, figure out root codes, and notify in case of severe problems.
We an implementer and a user of this solution. We are able to use this solution for integration detection, reporting, automation, and event monitoring.
We use it in the banking services domain. We have many devices and interfaces from different vendors. To perform monitoring, we have deployed NetCool at the high-level architecture. We have 50 lines of business (LOB), and we are using NetCool as a central point. It acts as an event manager. For each and every LOB, we deploy other monitoring tools, and from there, we collect all the events and point them to NetCool. We are using NetCool/Impact for ticketing into BMC Remedy. We are now bringing out apps on top of NetCool for predictive analytics. They would be useful for predicting what is going to happen in the future and perform historical analysis of all those things.
This is one of the monitoring tools that we use in-house for our infrastructure. This is not one of the services that we provide to our customers. I use it primarily for event management, where I can do the correlation and analysis I need to configure policies.
We primarily use the solution to monitor our environment.