Enterprise Network is extremely complex infrastructure with many physical and logic components, with thousands of network nodes, carrier services, tens of thousands network clients, hundreds application servers, UPS, and other equipment. How do you define what needs to be monitored, what are the baselines and thresholds.

Following are performance categories which can be monitored:

  • Traffic Utilization
  • Discards
  • Errors
  • Broadcasts
  • CPU and Memory Utilization
  • Ping Response Times
  • QoS Classes Utilization
  • QoS Classes Drops
  • Trunk Interfaces Status changes
  • SYSLOG Events
  • SNMP Traps
  • IP SLA (Service Level Agreement)
  • Traffic Analysis
  • Configuration Changes
  • Routing Changes
  • MPLS Critical Events
  • Device Reboots
  • Monitoring of Environment Parameters, such as Temperature, Voltage etc
  • Changes to hardware composition of network device
  • Present but undiscoverable network devices
  • Application Server CPU, MEMORY, File System and Running Processes
  • Newly Discovered Network Nodes
  • Carriage Billing Trends
  • Application Monitoring

It is important that most of monitoring is automatically configured, enabled and maintained.
Certain monitoring can be enabled by humans only, while most should be able to be done automatically.
The challenge here is to take into account large number of possible configuration variations and situations.

Automation is only possible when all data kept in the database. Most of Network Management Software vendors split their product in multiple modules, which helps them to increase their revenue.
But unfortunately for network managers, this approach is a stumbling block on the way of building true intuitive and effective network management solutions. This is the reason why 95% of enterprises do not have effective and intelligent network management solutions in place. This translates into lack of pro-active actions, network outages, lack of visibility into network activity and lack of transparency between customers and network management service providers and at the end of the day effects your company profits.

In NETSAS, we follow another, “Common Sense” logic. Enigma NMS holds all its data in the same database, which makes it very efficient and highly automated system.
Enigma will show you what is wrong regardless of the size of your network

Intrinsic logical algorithms are applied to make sure that it all “just works”. In fact, Enigma NMS recognizes that humans are main source of errors and inconsistencies, hence it tries to minimize human input is reduced to bare minimum, most of network nodes attributes are acquired automatically.
They form logical basement for higher level operations, such as detection of trunk connections or discovery of IP SLA configurations or configuration files downloads.

Due to high level of automation Enigma NMS is extremely scalable solution, requiring very little or no maintenance.