Research Professional - Q1 2023
Uptime Quarterly Reports are published each quarter to provide a comprehensive view of our uptime performance as measured over the last three (3) months and over the last twelve (12) months. The report measures our performance as defined in the Service Level Agreement.
The uptime measured on a rolling 12 month basis April 2022 - March 2023 is 99.98%
The uptime measured on a rolling 3 month basis January 2023 - March 2023 is 100%
Please note our System Uptime Status page, which allows our customers to view the current status of their instance/environment at any time, using the following link: http://status.exlibrisgroup.com
Unscheduled downtime incidents in Q1 2023
|
Date |
Start time [CET] |
End time [CET] |
Duration |
Description |
|---|---|---|---|---|
Scheduled downtimes during maintenance windows in Q1 2023
|
Start Date |
Day of Week |
Start Time [CET] |
End Time [CET] |
Duration (Minutes) |
|---|---|---|---|---|
| February 02, 2023 | Thursday | 18:17 PM | 18:31 PM | 14 |
| March 07, 2023 | Tuesday | 18:20 PM | 18:29 PM | 9 |
Total unscheduled downtime minutes during the past 12 months
|
Quarter |
Total unscheduled downtime in Quarter (minutes) |
|---|---|
| Q1 2022 | 0 |
| Q2 2022 | 0 |
| Q4 2022 | 62 |
| Q1 2023 | 0 |
How is Uptime Calculated?
The uptime calculation is based on the following calculation (as defined in the Service Level Agreement):
"Uptime" means the total period in minutes during which the Service is available for access and use during this period.
“Uptime Percentage” means Uptime expressed as a percentage, calculated in accordance with the following formula:
Uptime Percentage = X /(Y–Z) × 100
Where:
X = Uptime
Y = Last 12 months period
Z = The duration (in minutes) of any SLA Exclusions* during these 12 months
*SLA exclusions are defined in the contract SLA (e.g. Scheduled maintenance, etc.)
Further Information
If you have any queries on the information within this report please contact Ex Libris through your usual channel.