Network Monitoring and Management
Network Monitoring and Management Software
AggreGate Platform

Business Service Management

In contrast to telecoms, corporations don't make profit directly from operating their IT infrastructure. The IT infrastructure is a foundation of company's business services which, in their turn, ensure efficient operation of the whole business.

Thus, corporate IT infrastructure monitoring and management is always multi-tiered:

  • Hardware infrastructure monitoring (servers, routers, switches, printers, etc.)
  • Application monitoring (e.g. web and mail server operability monitoring)
  • Consolidated operations monitoring (e.g. cluster or web farm monitoring)
  • Business service monitoring (e.g. online ticket order process monitoring)

Network hosts and applications running on them can be perfectly monitored using out-of-the-box tools. Their monitoring is nothing more than proactive prediction of negative KPI trends and reaction to threshold violations. The list of KPIs is well known and most hosts/applications are ready to report them via standard protocols.

Each business service is unique. It depends on many network elements (devices and applications), hence, its operability is ensured by operability of those elements. However, there is no "magic formula" describing their relations. For example, if a critical service depends on an application server cluster, complete failure of a single application server doesn't even mean that the business service is degraded. Establishing a service by "clicking several hosts and applications" is a good marketing device but complex real-life services require more advanced multi-level workflow.

Most services rely on a specific multi-vendor combination of hardware and software products, making niche monitoring products offered by their manufacturers useless or inefficient for monitoring such services as a whole.

Service Modeling

AggreGate Network Manager provides a rich set of instruments for modeling aggregated KPIs of the most complex business services and associating those KPIs with underlying applications and infrastructure resources:

  • Wide range of device drivers for obtaining raw data from almost any known type of data sources
  • Expression language for evaluating custom status of network nodes and applications from their original KPIs
  • Query language for combining information fetched from similar elements and joining arbitrary server-side data structures for further analysis
  • Modeling engine for describing a service by custom properties, operations and events, as well as dynamically executed business rules, which link them to the pre-processed source data and each other.

Once business service modeling is finished, the rest of AggreGate's data processing and visualization tools (such as alerts, reports or dashboards) can be used for reacting to the service model changes and monitoring it real-time. Model events will be processed in the same way as ordinary network events, service performance statistics will be preserved, and its status can be visualized by designing custom widgets in AggreGate's unique UI Builder.

Business service models ensure deep understanding of underlying IT resources' impact on the service level, allowing to achive continuous service quality improvement.

SLA Monitoring

In addition, remaining highly available, most business services should also meet custom Service Level Agreements (SLAs). Those SLAs are often contracted and their violation can lead to huge reputational and financial losses.

Status and performance indicators of a service modeled inside AggreGate Network Manager can be accompanied with their operational level and service level requirements, allowing to:

  • Immediately react to sudden SLA breaches by notifying system operators
  • Predict SLA violation dates and inform system administrators in advance
  • Collect SLA compliance statistics for further reporting
  • Visualize availability and quality of the business services
  • Evaluate impact of IT infrastructure failures to business processes
  • Plan capacity of underlying resources to ensure long-term service level compliance
  • Identify migration, consolidation and license reduction opportunities

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