Disaster recovery for Atlassian Data Center
A disaster recovery strategy is a key part of any business continuity plan. It outlines the processes to follow in the event of a disaster, to ensure that the business can recover and keep operating. The following resources describe how it works for each product:
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High availability, disaster recovery, and failover
The terms "high availability", "disaster recovery", and "failover" can often be confused. We've defined them as follows:
| High availability | A strategy to provide a specific level of availability. In Confluence's case, access to the application and an acceptable response time. Automated correction and failover (within the same location) are usually part of high-availability planning. See High availability guide for Jira for an example. |
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| Disaster recovery | A strategy to resume operations in an alternate data center (usually in another geographic location), if the main data center becomes unavailable (i.e. a disaster). Failover (to another location) is a fundamental part of disaster recovery. |
| Failover | An event of one machine taking over from another machine, when the aforementioned machines fails. This could be within the same data center or from one data center to another. Failover is usually part of both high availability and disaster recovery planning. For example: |
Last modified on Dec 16, 2022
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