As more organizations standardize on Atlassian Cloud for Jira and Confluence, there’s a growing assumption that “cloud” automatically means “protected.” After all, Atlassian is responsible for uptime, infrastructure, and platform reliability… right?
Yes… but only partially.
What many enterprises are now realizing is that availability is not the same as recoverability. Additionally, when it comes to data loss, user error, compliance needs, or ransomware scenarios, the responsibility to protect your data still largely sits with you.
This is where the concept of the Atlassian Shared Responsibility Model becomes critical, and where many organizations discover a resilience gap they didn’t know they had. Let’s get into it.
The Shared Responsibility Reality
Atlassian does an excellent job securing and maintaining its platform. Their infrastructure redundancy, security controls, and operational maturity are strong. However, Atlassian is clear about one thing:
You are responsible for your data.
That includes:
- Accidental deletions
- Misconfigurations
- Malicious actions by insiders
- Integration errors
- Compliance-driven retention requirements
- Targeted data recovery needs
Atlassian’s new native backup and restore capabilities are a step forward, and they make sense for certain scenarios. You can learn more about their offering here:
However, for many mid-sized and enterprise organizations, native backups alone may not fully meet operational, risk, or regulatory requirements.
Where Native Backups Can Fall Short
Recent industry discussions, including insights shared by Atlassian ecosystem partners like Revyz, highlight some important considerations.
1. Eligibility and Licensing Constraints
Atlassian’s native backup solution is not universally available because it requires Premium or Enterprise plans, and requires annual billing. This is not something all clients have, especially for those where Standard plans fit their needs. It is also sold as an add-on for Jira and Confluence and is based on the highest user counts. This means you’re paying for the number of users, not the size of your data. For many organizations, this changes the cost equation significantly.
2. Data and Scale Limits
There are strict thresholds around data size, attachment counts, and user counts. Large or fast-growing environments can quickly exceed these limits, making native backups less viable.
3. Limited Retention Windows
Native backups typically offer a 30-day retention, and deletion of backup data occurs after that period. However, that isn’t always enough for those in regulated industries such as medical device, aerospace, automotive, or financial services. It may not align with audit or legal retention requirements.
4. All-or-Nothing Restores
One of the most common enterprise concerns is that Cloud native restores can overwrite the entire site. So you would be reverting to that point in time as opposed to only restoring what was lost. If you only need to recover a deleted project, space, or subset of data, this becomes operationally risky and inefficient.
5. Same-Environment Storage
Backups stored within the same ecosystem are not truly air-gapped or completely separated. In a major incident scenario, this can increase exposure.
The Enterprise Backup Mindset
Modern SaaS backup strategies focus on:
✅ Granular recovery
✅ Long-term retention
✅ Independent storage
✅ Compliance alignment
✅ Rapid restore capabilities
✅ Protection from human error and ransomware
This is why many enterprises are exploring purpose-built backup solutions designed specifically for Atlassian environments, such as Revyz.
How Revyz Helps Close the Gap
As an Atlassian Marketplace Partner focused on data management and backup for Jira and Confluence, Revyz brings a specialized approach to SaaS data protection. Their perspective is well summarized below, but feel free to read their entire article:
👉 The Resilience Gap: Why Atlassian’s Native Backup Fails the Enterprise Risk Test
Revyz emphasizes:
- Independent, secure backups
- Granular restore capabilities
- Extended retention options
- Enterprise-ready data protection
This aligns with what many risk-conscious organizations are now prioritizing: true resilience, not just availability.
Why This Matters More Now
The cost of data loss is not theoretical. Studies consistently show that even small data loss incidents can cost tens of thousands of dollars. Larger events can escalate into millions when factoring in:
- Downtime
- Compliance penalties
- Rework
- Reputation damage
- Lost productivity
For teams that rely on Jira and Confluence as their system of record, the stakes are even higher.
SPK Helps You Build the Right Strategy
At SPK and Associates, we’ve helped organizations for over 20 years optimize their engineering and collaboration environments, including:
- Jira Cloud migrations
- Confluence knowledge management
- Atlassian Cloud governance
- Backup and data protection strategies
- Compliance-focused Atlassian implementations
We are also a partner of Revyz and work with clients to evaluate both native and third-party options objectively. Our goal is simple. We help you choose the approach that best fits your architecture, risk profile, and budget.
If any of these apply to you, it may be time for a review:
- You are in a regulated industry
- You have large or growing Jira/Confluence instances
- You need retention beyond 30 days
- You require granular restores
- You have audit or legal hold requirements
- You want true air-gapped backups
- You rely heavily on Jira and Confluence for critical operations
A Practical Next Step
You don’t need to overhaul everything overnight. Start with a simple assessment:
- What data is mission-critical?
- How long must it be retained?
- How fast must it be recoverable?
- What are your compliance requirements?
From there, a right-sized strategy becomes clear.
If you’re unsure whether your current Atlassian Cloud backup approach is sufficient, SPK can help you evaluate your options and design a strategy that reduces risk without unnecessary cost. Contact us for a backup strategy discussion.
