DataMiner Dynamic Service Management
Driven by various, inevitable market trends such as converging markets and ever increasing competitive heat, operators are required to continuously optimize their operations. Over the last decades monitoring and control of the technical infrastructure has been an important part of that optimization process. Today, DataMiner is the leading solution embodying that continuous striving for further optimizing. One of its principle features is its true multi-vendor capabilities, allowing to integrate any device from any vendor, and to enrich the monitoring environment with a side selection of test and measurement equipment as well as environment probes.
But this multi-vendor capability not only generates significant savings for the user of the DataMiner System, it is also the technology that enabled Skyline Communications to launch DataMiner into the next era of monitoring, namely the dynamic service management. Service Management is all about more efficiently processing and presenting the available inforomation, and providing the operators a service perspective on the operational systems, rather than the classic device perspective.
DataMiner Dynamic Service Management provides intuitive tools, and a technology supporting advanced features such as partial dependencies, service hierarchies and abstraction of complex service-to-device interactions such as redundant architectures. All these innovative features assure that DataMiner operators can easily model the most complex relationships between business services and underlying devices while minimizing the resources required to do so, and adhering to the volatile character of that relationship.
Once the underlying multi-vendor technology is in place, and the tools are available for the service provisioning, two important aspects need to be taken into account for day-to-day operations, namely the real-time service management and the statistical service analysis.
Real-time service management
Real-time service management provides the operators with an immediate service impact analysis as device events occur. Where in the past, with a device centric approach, certain device events may have appeared to have a similar weight; these events will now be presented in a service context, and are likely going to show an entirely different picture. Real-time time service management allows operators to further prioritize alarm events and to operate the infrastructure with as objective a maximum availability of the business services. DataMiner provides the tools for operators to view that service impact in real-time and to navigate easily back and forth between a device perspective and a service perspective.
Statistical service analysis
Statistical service analysis provides a long term view on the performance of the underlaying technology, but from a true service perspective rather than the more traditional device perspective. The latter is essential as device performance is beyond any doubt substantially inferior to service performance. DataMiner provides a seamless integration of the service management with the cutting-edge DMS Report Creator, allowing operators as well as managers to view statistical performance data in a comprehensive collection of graphs. DMS Report Creator provides a wide array of analyses, including alarm time distributions, quantitative analysis, time line charts, etc.
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