The IT staff at SMB companies is facing the challenge of increased costs of problem identification and resolution in a distributed network environment. Partner's utility provides an intelligent interface to integrate and automate responses to events from a variety of management systems. But still, 80 percent of their time is being spent analyzing data, just to identify what the problem is. Only through enhancement of an event correlation capability, can the IBM partner continue to provide competitive network management services.
- ● JAVA EE
- ● IBM Autonomic Computing Toolkit
- ● Autonomic Management Engine
During the investigation performed by the customer, it was discovered that IBM Autonomic Computing Toolkit had a strong potential to compliment customer Utility's existing strengths with robust event correlation capabilities.
Axmor Software Java EE developers created the necessary operations within the AME framework to perform integration with the utility. During this project, our team demonstrated the ability to learn both products in a short period of time.
Axmor developed resource models that provide autonomic event correlation services:
- ● Root cause management,
- ● Worm detection automation.
Resource models utilize data about the topology of each customer network to conduct correlations. Network topology can be specified within the developed Topology Builder.
To make the solution work, data must be exchanged between the Utility and AME in a common standard. Axmor Software implemented Utility classes to parse the AME inherent Common Base Event standard (CBE) to customer's proprietary format.
Autonomic Network Management
A multi-national IT corporation
Integration of IBM's Autonomic Computing Toolkit and IBM partner's Utility to create an autonomous solution for managed networks, providing them with cause analysis and worm detection capabilities.
Axmor Software used leading-edge IBM technology to deliver a forward solution that allowed IBM partner gain a set of competitive advantages in managed network services:
- ● Increased response to network issues and decreased network downtime;
- ● Up to 25% decrease in events that must be analyzed manually;
- ● Enhanced security through early worm detection.