High availability

Data Center provides active-active clustering to ensure that users have uninterrupted access to critical applications when unexpected hardware errors occur. The data load can be distributed across clusters, using any form of load-balancing technology, whether hardware or software-based. Data Center also supports integration with industry-standard technologies for database clustering and distributed file systems to minimize single fail-over points in the architecture.

disaster recovery

Atlassian Data Center covers the entire system with disaster recovery - an essential requirement for enterprise-level deployments. Organizations can set up a cold standby instance to take over in the event of technical failure at the main site. Data Center thus ensures that the system remains available with all data and provides a mature foundation for establishing or modernizing an individual disaster recovery strategy.

Performance at scale

Each node in the Data Center cluster increases concurrent user capacity without sacrificing performance. During controlled load tests, Atlassian has found a nearly linear capacity increase when using clusters with two and four nodes compared to a single JIRA server with the same response time. This additional capacity provides better resilience in the case of load spikes.

Exclusive additional functions for data centers

The data center executions offer powerful additional administrative features that specifically address the needs of enterprise companies - such as project archiving in Jira and Jira Service Desk, read-only mode in Confluence, Smart Mirroring for Bitbucket or delegable administration in Crowd.

Instant scalability

The architecture of the Data Center cluster allows you to add new nodes without having to go offline. To add a node to a JIRA Data Center cluster, the only requirement is that JIRA must be installed and the configuration file updated. This supports fast capacity growth as usage increases.

Free choice of infrastructure

Data Center provides customer deployment flexibility. You can run a data center system on your own infrastructure or implement it with IaaS vendors such as AWS or Azure. For this purpose, the data center versions come with their own templates that support an efficient setup.

Downtime minimization

Scheduled downtime to perform maintenance on systems is often particularly common for heavy-duty installations on a single server. Meanwhile, the productive use of the systems is at a standstill. The data center solutions minimize the necessary downtimes. Thanks to the zero downtime upgrades in Jira and Jira Service Desk and the read-only mode in Confluence, software updates are even possible during runtime.

Strongly growing user base: Strong growth can lead to unsatisfactory performance and potential outages. Instability and unavailability, in turn, are bad for user retention.

Lack of disaster recovery strategy: If the work of the entire company is centrally organized and stored, there must be no danger of losing this information if something goes wrong. Clustering provides security in the event that a single node fails, but what if the entire instance is down?

Nobody can do their work when the system is down: An unexpected failure devours productive time: Important information and features that people need at that moment are not accessible and available. Tasks that users are currently working on are lost and need to be recreated. Important, perhaps time-critical tasks must be postponed, etc.

This is a public system: If companies operate a system like Confluence or Jira publicly, so that customers, partners and users come into contact with it, the instance must run flawlessly. Service and support are inextricably linked to the product. Anyone who publicly holds information in a system must ensure that access is possible at all times.

Management uses the system: In many companies an operational necessity is reached when upper management works intensively with the system and management organizes their work and strategic projects in the system. Downtime is unacceptable in such cases as it would have a significant impact across the organization.