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Collection & Analysis
Data Collection & Analysis
MetiLinx uses a centralized data collection strategy
to minimize the resource impact on the MetiLinx Sensor.
Only one component, the MetiLinx Analyzer (DCM), requests
data from the Sensors. It then passes out this information
to the Console (for reports and real-time graphs),
to iAlarm (for pre-emptive alerting when thresholds
are crossed) and to other network management applications
(via MetiLinx Connect).
MetiLinx can store Local Node Value (LNV), Composite
Node Value (CNV) and critical sensor data (CPU, RAM,
Network traffic, etc.) in a centralized repository
using one of three methods:
. Flat File
. Microsoft SQL Server
. Oracle Database
Selecting one of the two database options has the
added benefit of allowing administrators to generate
their own customized reports. MetiLinx facilitates
this by providing the database schema.
Field Name |
Description |
Unit |
dcmid |
Internal dcm ID |
Integer |
nodeid |
Internal node ID |
Integer |
alias |
IP address of the node |
IP Format |
datemin |
Earliest date |
MM/DD/YY HH:MM:SS |
datemax |
Most Recent Data |
MM/DD/YY HH:MM:SS |
MetiLinx's alarming capabilities allow administrators
to set threshold values and be alerted when crossed.
The Alarm component can monitor for several values,
all selectable by the administrator. For instance,
the database administrator can be alerted if the
amount of free disk space on Database Server 2 drops
below 1GB; thereby allowing time to take corrective
action and preventing a server crash. Similarly,
a web administrator can be alerted if a web server
is becoming overly stressed with too much traffic.
These capabilities are an extension of the data
gathered by the MetiLinx Sensors on the servers and
stored by the MetiLinx Analyzer. When the administrator
creates an alarm, the system notifies the MetiLinx
Analyzer to gather the required sensor data from
the selected servers' MetiLinx Sensors. The specific
servers to monitor, the frequency and the alerting
mechanism are all configurable.
Notification can be made through pop-up messages,
audible sounds, email messages and SNMP traps.
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