For many organizations, Jira is the backbone of project management, software development, and issue tracking. To be exact, over 80% of Fortune 500 companies rely on Atlassian’s project management tool to manage tasks, coordinate releases, and maintain visibility across projects. When Jira becomes unavailable or when critical data is lost, the impact can quickly disrupt operations and delay business outcomes.
This is why disaster recovery planning is essential for organizations that depend on Jira. A well-designed recovery strategy ensures that teams can restore data quickly, minimize downtime, and maintain business continuity even when unexpected incidents take place.
In this article, we explore the most common threats to Jira data and outline six best practices that help organizations build a reliable disaster recovery strategy.
Threats concerning Jira data
Disruptions can happen to any system, including cloud platforms. While Atlassian provides a highly reliable service, outages and service interruptions can still occur. For example, in April 2022, Jira was down for about a fortnight for some Jira customers.
Although Atlassian typically restores services quickly, organizations should remember that cloud platforms operate under a Cloud Security Shared Responsibility Model. This means Atlassian is responsible for maintaining the infrastructure, while customers remain responsible for protecting their own data, configurations, and operational continuity.
In other words, even if the platform itself is restored, organizations may still face challenges if their data is corrupted, deleted, or compromised.
Internal incidents can be just as disruptive as platform outages. Infrastructure failures, security breaches, or accidental deletions can all impact the availability and integrity of Jira data.
Because of these risks, organizations are expected to assess potential threats and prepare appropriate disaster recovery mechanisms. In many industries, this is not only the best practice but also a regulatory requirement.
For example, the NIS2 Directive requires organizations to implement measures for business continuity and disaster recovery:
“The measures referred to in paragraph 1 shall be based on an all-hazards approach that aims to protect network and information systems and the physical environment of those systems from incidents, and shall include at least the following: … (c) business continuity, such as backup management and disaster recovery, and crisis management…”
Several other common threats can affect Jira environments, including:
- Human error, such as accidental deletions, misconfigurations, or unintended changes,
- Ransomware attacks, where malicious actors attempt to encrypt or destroy data,
- Unauthorized access, including compromised accounts or security breaches,
- Natural disasters, which can damage infrastructure or disrupt data center operations.
Each of these risks can result in data loss, service interruptions, or operational delays. A well-designed disaster recovery strategy is a mechanism that can help organizations mitigate these risks and restore operations quickly when incidents occur.
Disaster recovery for Jira environments
Strong backup is the way to an effective and secure recovery. With a comprehensive backup solution, like GitPortect backup and restore for Jira Cloud, organizations can recover their Jira Cloud site data in any event of failure, from any specific point in time to the same or a new Jira account.
And here is a tip! Any disaster recovery plan must be clearly communicated across teams, with each individual fulfilling their part, for it to work.
#1 Clearly define RTO & RPO
Both recovery time objective (RTO) and recovery point objective (RPO) are key metrics to create a disaster recovery strategy for Jira Cloud.
Recovery time objective
RTO defines how long your organization can afford to be down after a failure. In practice, it sets the maximum time allowed to restore Jira and resume normal operations. For example, an RTO of 8 hours means your systems and critical data must be back online within that window.
Lower RTOs require more preparation and investment, but they significantly reduce downtime and operational impact. Higher RTOs may look cheaper at first, often relying on manual processes or basic tooling, but usually lead to longer outages and higher costs when an incident actually happens.
Recovery point objective
RPO defines how much data your organization can afford to lose when an incident occurs. It sets the maximum gap between the latest backup and the moment of failure. An RPO of 6 hours means losing up to 6 hours of work is acceptable, allowing for less frequent backups.
Shorter RPOs leave no room for data gaps and require frequent, automated backups and replication. The less data loss your business can tolerate, the more disciplined and automated your backup strategy must be.
#2 Pay attention to data criticality
Identify which Jira data your teams cannot operate without. Not all data has the same priority level in terms of recovery, and backing up and restoring everything at once is not always realistic. The goal is to define what must be available first to avoid extended downtime. Once this data is located, it should be protected with more frequent backups and restricted to the right level of access. Clear priorities help to make every recovery decision faster and more effective.
#3 Assign ownership and roles
A Disaster Recovery strategy works best when roles are clearly defined. Each recovery process must have a specific person responsible for it, with no overlaps and no assumptions. During any potential incident, uncertainty around ownership just slows everything down.
Your Jira DR plan should clearly assign who declares the incident, who communicates with management and external stakeholders, who coordinates the response, and who executes the recovery itself. The defining of roles can turn a stressful security event into a controlled recovery process.
#4 Outline recovery processes
Once responsibilities are assigned, teams need a clear set of actions to deal with any potential incident. In a failure scenario, there is no time to decide what comes next; the recovery flow must already be documented.
The first hours after an outage are most important. Fast decisions, predefined recovery steps, and clear escalation paths essentially determine how quickly systems and operations return to normal. An effective plan focuses on action:
- Emergency communication plans
- Backup and recovery
- Activation of contingency measures
#5 Prepare communication for stakeholders
During a failure, stakeholders, employees, customers, and regulators require timely and consistent communication. Therefore, an effective Jira disaster recovery strategy should include a clear framework regarding communication. Make sure to define who speaks for what, outline the information that needs to be communicated, and specify which channels should be used.
This way, teams eliminate confusion and mixed signals during security incidents. Do not forget to review the communication plans regularly and adjust them accordingly, using real feedback from past incidents.
#6 Test and review all plans regularly
RTO and RPO should be reviewed on a regular basis to guarantee they still align with business and operational requirements. Defining these values once and treating them as static SLA entries can lead to unrealistic and outdated recovery expectations.
With regular reviews of backup configurations and restore processes, teams can validate whether current RTO and RPO targets are actually achievable. This includes assessing backup frequency, replication methods, and restore capabilities, as well as reviewing backup logs and reports. Continuous evaluation enables teams to adjust recovery objectives before any incident takes place and, as a result, further support business continuity.
Treat backup as data loss mitigation
Regular, automated backups are an important element of disaster recovery for Jira. Without strong backup, restoring data quickly and reliably after an incident becomes more complex.
To support recovery scenarios, Jira backups should address the following areas:
- Implement automated backup schedules to reduce manual effort and operational errors.
- Cover all critical Jira data, including projects, issues, boards, assets, and automation rules.
- Support long-term or unlimited retention to allow restores from any required point in time.
- Distribute backup copies across independent storage locations in line with the 3-2-1 rule.
- Protect data integrity with encryption, both in transit and at rest, with your own encryption key.
- Safeguard backups against ransomware by using immutable or WORM-compliant storage
These functionalities focus on recovery readiness, guaranteeing Jira data remains accessible, intact, and restorable when any disruptions occur.
Common recovery scenarios in Jira Cloud to address
The ability to restore Jira Cloud site data efficiently has a direct impact on how quickly teams can resume work after a security incident. Backups alone are not enough when restore options are limited. A practical recovery strategy must address different recovery scenarios and provide restore methods that work for each of them.
Your own environment is down
When your infrastructure fails, recovery is dependent on where your backups are stored. Thanks to the 3-2-1 backup rule, which requires 3 copies of data across 2 different storage media, with one being off-site, your recovery is always possible. Make sure the backup vendor you opt for allows to replicate all Jira data between the storage instances. Any recovery efforts cannot be dependent on a single storage, so take advantage of replication and guarantee recovery even if your own infrastructure is down.
Atlassian goes through an outage
While Atlassian is a reliable platform, outages still take place. These can leave Jira environments inaccessible, putting a stop to primary operations. Implement a backup solution that will allow teams to restore data from the latest backup or even a selected point in time. Organizations should be able to restore Jira data to another location, for example, a different Jira environment, so critical data can be accessed, and business continuity is not harmed.
Backup provider is experiencing service disruptions
Though unlikely, a backup vendor should be prepared to experience outages and service disruptions. While recovery depends on the availability of the backups, a strong solution should cover its own resilience measures in order to eliminate the chance of any disruptions.
Final thoughts
Jira plays a critical role in the daily operations of many organizations. When data loss or system outages occur, the ability to recover quickly can make the difference between a minor disruption and a major operational failure.
By defining clear recovery objectives, prioritizing critical data, assigning responsibilities, and implementing reliable backup and restore capabilities, organizations can build a disaster recovery strategy that protects their Jira Cloud environments.
Regular testing and continuous improvement ensure that when incidents occur, teams are prepared to respond quickly and keep projects moving forward.
