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Introduction

Open-AudIT Enterprise bring an initial two additional features to leverage your Open-AudIT installation - Dashboard and Scheduled Reports.

Dashboard

The Dashboard gives a quick overview of important items in the Open-AudIT database. There are (initially) four distinct graphs:

Devices Discovered over the last 30 Days. This graph should show a relatively consistent line. Any spikes in the graph represent new devices being discovered and if not explainable, some investigation should occur. An obvious example is deploying a new batch of replacement Windows PCs would generate a spike - but this is expected. If no new deployments are occurring and a spike occurs, new devices have been discovered and may be cause for investigation. you can click on the individual days data point on the graph to show a list of new machines discovered on that day. From this list you can click a machine name to see the specific machine details as discovered by Open-AudIT.

Software Discovered over the last 30 Days. This graph represents any new software packages detected over the last 30 days of audit. Note that this graph examines software packages, not machines. Therefore a deployment of (say) Adobe Reader to 100 machines would only represent one new piece of software being discovered on any given day. You can click the individual days data point on the graph to show a list of the new software packages discovered. From this list you can click a software package name to see which machines it was detected on, on that day.

Devices Not Seen for 30 Days. Items occurring here are devices that have not been detected on the network for 30 days that are still marked as being in production within the Open-AudIT database. This line should be expected to be consistently as close to zero as possible. Any devices that are considered in production should be audited more than once every 30 days. Ideally each day.

Device Type Percentage. A simple pie chart to illustrate the percent of the different device types within the Open-AudIT database. If the device type of Unknown occurs, this should be investigated as Open-AudIT has seen a device but was not able to determine its type.

These dashboard graphs are pre-configured in Open-AudIT Enterprise and updated on a daily basis. Additional graphs can be constructed upon request.

Scheduled Reports

Scheduled Reports allows for the generation of predefined reports to be archived or emailed on a desired schedule. If a report is to be emailed, the section of the configuration file conf/opCommin dealing with email should be completed. The initial config is below. 

'email' => {
'mail_domain' => 'yourdomain.com',
'mail_from' => ',
'mail_password' => 'your_password',
'mail_server' => 'smtp.yourdomain.com',
'mail_server_port' => 25,
'mail_use_sasl' => 'false',
'mail_user' => '
},

You should edit this config to reflect your particular environment. This is for sending email containing reports from the Open-AudIT Enterprise server. Users receiving emailed reports are configured in the next section.

The oae_reports.json configuration file

The reports for both the Dashboard and Scheduled reports features are both configured in the file conf/oae_reports.json. The Dashboard reports should be left as is, as they are setup and preconfigured to work with the Dashboard. For any additional reports to be run as part of the Scheduled Reports feature, this file is where you need to work. The following is an example from the file for a single report. We shall examine the options for each attribute in details below.

{
"schedule_id": "2",
"user_id": "OAE-Dashboard",
"report_id": "",
"report_name": "Daily Discovered Devices",
"report_filename": "DailyDiscoveredDevices.xml",
"group_id": "1",
"group_name": "All Devices",
"first_attribute": "<CURRENT_DATE>",
"format": "table_formatted",
"destination": "dashboard", 
"destination_address": "",
"schedule": "daily",
"schedule_hour": "11",
"schedule_from": "2013-06-05",
"last_run": "2013-06-10 09:00:01",
"last_run_status": "success",
"enabled": "y"
},
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