How to monitor Device Availability and Network Latency



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Transcription:

How to monitor Device Availability and Network Latency SNMPc is continually monitoring the devices on the network and keeping a record of the device availability and response times. This How-To guide details the options for displaying the data: 1) Highlight the devices that you wish to view the availability statistics on. You can use the CTRL key to select multiple devices or by holding the left mouse button down you can draw a box around the icons to select them. 2) Right click on any of the selected icons and select the System/Service Stats Menu 3) The following table will then be displayed WWW.CASTLEROCK.COM 1 of 5 (C) CASTLE ROCK COMPUTING

The following variables are contained in the table Resp-MS AVG This is the average time in milliseconds that the device takes to respond to an SNMP/ICMP request FAIL%AVG This is the downtime of the device expressed as a percentage of the overall time that the SNMPc server has been operational. In the above example the device www.castlerock.com has been down 2% of the time since SNMPc has been polling. It has therefore been up 98% of the time. Poll The current state of the device (Up or Down) WEB/FTP/... The current state of the monitored service. (Up or Down) For SLA purposes it is often useful to be able to monitor availability and network latency over a specific period of time such as a day/week/month etc. In this scenario the best solution is to create a trend report Highlight the devices that you wish to monitor. Please note that in SNMPc there is a maximum of 10 devices per report. If you have more than 10 devices you wish to monitor you can create multiple reports. Select the Trend tab on the bottom of the selection tool (the left-hand pane of the main window). Right-click on the folder named SNMPc Trend Reports and select Insert Report. WWW.CASTLEROCK.COM 2 of 5 (C) CASTLE ROCK COMPUTING

Give your Trend Report a Report Title. To record Network Availability and Latency select the report Response IP/SNMP Select the desired poll interval required and Add any additional devices. If you want to set a threshold on the network latency or availability statistic select the Instances button. Detailed instructions on setting thresholds on collected data is contained in the How-To guide How to create a Trend Report with Thresholds. Select the Export Destinations tab. Here you can control the format of your report. SNMPc Enterprise can automatically produce scheduled hourly, daily, weekly, and monthly reports. Report formats include graph, pie, bar chart, distribution, and summary (table). You can also WWW.CASTLEROCK.COM 3 of 5 (C) CASTLE ROCK COMPUTING

choose how the data is exported. Reports can be automatically sent to a printer, web server or saved to disk. In the Workgroup version of SNMPc many of these options will be disabled. From the Page Layout tab choose layout options such as the axis labels and position of the Legend. Select OK to save your settings and begin the data collection process. At any time, trend reports can be viewed by right-clicking on the report name in the Trend selection tool and selecting View Report. The date range and format of report that you wish to see can then be selected. Notes 1) If you are using SNMPc Enterprise you can view the Html reports by selecting the Web Reports.. option from the Tools menu. The web report template can only be viewed once the first report has been created. WWW.CASTLEROCK.COM 4 of 5 (C) CASTLE ROCK COMPUTING

Many customers using SNMPc to record SLA statistics export the data through ODBC to 3 rd party databases. The data can then be manipulated as required. In addition to exporting the Response IP/SNMP trend report another option is to export the device up/down events. An advantage of this is that it lets you derive statistics such as number of transitions and actual period of downtime. Please see the How to guide on ODBC export for more information. ODBC export is only support on the SNMPc Enterprise Platform. WWW.CASTLEROCK.COM 5 of 5 (C) CASTLE ROCK COMPUTING