Availability Summary Report

This report provides a summary of availability across one or more node tags. It is the default configuration when viewing data over the past seven days.

For each node tag, the report includes a table of average, minimum, and maximum values for the following availability data over the specified date range:

  • Number of outages.

  • Mean Time To Repair ("MTTR") (in hours).

  • Length of time for each outage (in hours).

  • Percent outage (per unit in tag).

  • Percent availability (per unit in tag).

This report has a pie chart that shows a ratio of percent availability to outage time. It then provides a stacked bar chart showing the available time and the outage time for each day in the specified date range. The report also lists the top 25 nodes based on downtime and their respective and downtime percentages.

You can customize the report with a company logo (approximately 195px by 50px) in the header and footer.

For an example of an availability report, see Report Templates.

Parameters

Report customization parameters
Field Description Default Value

Surveillance Category

Identify one or more node tags to include in the report. To select multiple tags, use wildcards as described below. If no tags match the entered string, the report will have no data.

%

Time Range in Days

The range, in days, from the report Start Date.

7

Start Date

The starting date for the data contained in this report.

7 days before today
Click to learn more about using wildcards in text fields

Text fields allow the use of the percent character % as a wildcard.

To match every record, enter the percent character by itself as the value for the text field.

It can also be used with other characters, for example, typing prod% as the value for a text field will match all records that start with "prod" in that field.

Typing %prod% into the text field will match any record that has the four characters "prod" anywhere in that text field.

Any string that can be used in a PostgreSQL query element that uses the LIKE predicate operator will work.