For years, debates about Atlassian Cloud have been shaped by the same concerns: security, control, performance, administration, scale and whether heavily customised Jira and Confluence environments can really work in a SaaS model.
Some of those concerns were reasonable. Some were based on how cloud platforms worked several years ago. And some still contain a legitimate issue that needs to be assessed rather than dismissed.
The context has also changed. Atlassian has announced that affected Data Center products will reach end of life on 28 March 2029, after which licences expire and environments become read-only unless an exception applies. Bitbucket Data Center is being treated differently and will remain available through a hybrid licensing model. Atlassian explains the Data Center end-of-life timeline here.
That makes it more important to separate outdated cloud myths from genuine migration risks.
The useful question is no longer simply: “Is Atlassian Cloud better?”
It is:
“Can Atlassian Cloud meet our security, governance, operational and delivery requirements — and what needs to change before we move?”
| Myth | Reality |
|---|---|
| Atlassian Cloud isn’t secure enough | Security responsibility changes rather than disappears. Configuration, identity and governance still matter. |
| Cloud will damage performance | Atlassian provides defined availability commitments, but apps, integrations and estate design still affect performance. |
| Moving to Cloud means losing control | You give up some infrastructure control, but retain significant governance, identity, access and data controls. |
| Cloud makes Atlassian administrators redundant | Administration changes from infrastructure management towards governance, automation and platform optimisation. |
| Atlassian Cloud is only for small teams | Enterprise capabilities exist, but organisations still need to validate their specific scale and compliance requirements. |
| Our customised workflows cannot move | Many configurations can migrate, but Cloud is not a one-for-one replica of Server or Data Center. |
Cloud Myth #1: “Atlassian Cloud isn’t secure enough”
Security is one of the most persistent cloud misconceptions, particularly in regulated organisations.
But “is Cloud secure?” is the wrong question.
Cloud security follows a shared responsibility model. The provider takes responsibility for more of the underlying infrastructure and service, while the customer remains responsible for whether the service meets its requirements, how it is configured and what data is placed into it.
The UK National Cyber Security Centre is explicit about this distinction. Moving to a managed service transfers some security responsibilities to the provider, but organisations remain responsible for selecting an appropriate service and configuring it securely. Read the NCSC guidance on the cloud shared responsibility model.
The same principle applies to Atlassian Cloud.
Atlassian manages the underlying cloud platform, but your organisation still needs to make the right decisions around:
- Identity and authentication
- User provisioning and de-provisioning
- Permissions
- Third-party applications
- Data classification
- Administrative access
- Security policies
- Governance and auditing
Atlassian also now provides Atlassian Guard, which replaced Atlassian Access in 2024. Depending on configuration and subscription, Guard can support controls including SAML single sign-on, authentication policies and automated identity provisioning. See Atlassian’s authentication policy guidance.
So Cloud does not remove security responsibility. It changes where that responsibility sits.
That distinction matters. A secure SaaS platform can still be poorly governed if permissions, identities, Marketplace apps or administrative practices are weak.
We examine those controls in more detail in our guide to Atlassian Cloud security and enterprise security requirements.
Cloud Myth #2: “Moving to Cloud will damage performance and reliability”
Performance concerns are understandable when Jira, Confluence or Jira Service Management sit at the centre of delivery.
Moving infrastructure outside your direct control can feel like introducing another dependency.
But running the infrastructure yourself does not automatically make it more reliable.
For qualifying Cloud products, Atlassian currently provides uptime SLAs of 99.90% for Premium plans and 99.95% for Enterprise plans. See Atlassian’s current Cloud SLA details.
That shifts responsibility for much of the underlying platform operation, maintenance and availability away from the internal team.
It does not mean performance stops being your problem.
Large Atlassian estates often contain years of accumulated complexity:
- Unused or duplicated projects
- Excessive custom fields
- Complex workflows
- Marketplace apps
- External integrations
- Automation rules
- Large datasets
- Duplicated instances
- CI/CD dependencies
Moving all of that complexity into Cloud without assessing it first can simply reproduce the problem in a different environment.
So the reality is more nuanced than either side of the cloud myth.
Cloud can remove a significant infrastructure management burden. It cannot compensate for a poorly designed Atlassian estate.
Performance assessment therefore belongs in the migration plan, not after migration.
Cloud Myth #3: “We will lose control if we move to Cloud”
You do lose some control when you move from self-managed infrastructure to SaaS.
That is partly the point.
Your team no longer controls every server, database, patching decision or infrastructure component. Atlassian takes responsibility for more of the platform.
But giving up direct infrastructure control is not the same thing as giving up governance.
Cloud organisations can still control areas such as:
- Who gets access
- How users authenticate
- Permissions
- Administrative roles
- Security policies
- Application access
- Data residency
- Auditing
- Configuration standards
Data residency is a good example.
Atlassian currently allows eligible Jira, Jira Service Management, Jira Product Discovery, Confluence and Loom customers to pin in-scope app data to supported locations. The UK is one of those locations, using Atlassian’s London AWS region. See Atlassian’s data residency documentation.
But there is an important qualification: data residency does not automatically mean every piece of data associated with your Atlassian environment is stored in that region.
Atlassian distinguishes between in-scope and out-of-scope data, and Marketplace applications may have their own residency arrangements. Atlassian specifically advises customers to review Marketplace vendors’ documentation where residency requirements apply.
That is the kind of detail regulated organisations need to assess.
The real question therefore isn’t:
“Do we lose control?”
It is:
“Which controls move to Atlassian, which remain ours and do the resulting arrangements satisfy our governance requirements?”
That is a much more useful basis for a Cloud decision.
Cloud Myth #4: “Cloud makes the Atlassian administrator redundant”
Cloud does remove some traditional administration work.
That does not remove the need for good Atlassian administration.
If anything, large Cloud estates increase the importance of governance because the platform becomes easier to expand.
The work simply changes.
Instead of spending as much time on infrastructure, upgrades and underlying platform maintenance, administrators increasingly need to focus on:
- Identity and user lifecycle management
- Permission structures
- Project and space standards
- Marketplace app governance
- Automation
- Integrations
- Reporting
- Audit evidence
- Licence usage
- Configuration consistency
- Adoption
This is an important difference.
An Atlassian administrator should not be measured by how much administration they perform. They should be measured by whether the platform remains controlled, usable and aligned with how the organisation works.
A Jira estate containing hundreds of unnecessary fields, duplicated workflows and inconsistent permissions is not well administered simply because the servers are healthy.
Cloud removes some operational work so teams can spend more time on those higher-value problems.
Cloud Myth #5: “Atlassian Cloud is only suitable for small teams”
Cloud tools were once strongly associated with smaller organisations that wanted to avoid buying and maintaining infrastructure.
That distinction has become much less useful.
Atlassian now provides Cloud plans and platform capabilities designed specifically for larger organisations, including centralised administration, enterprise identity controls, data residency options and plan-specific availability commitments.
But this cloud myth can also be overcorrected.
“Atlassian Cloud supports enterprise customers” does not mean “every enterprise requirement is automatically supported.”
Larger organisations tend to have more difficult requirements around:
- Identity
- Regulatory compliance
- Segregation of duties
- Auditability
- Application governance
- Integrations
- Data residency
- Migration scale
- Business continuity
They may also have multiple Jira or Confluence instances acquired over years through different business units, acquisitions and delivery teams.
The platform may be enterprise-capable while the existing estate is not migration-ready.
That distinction matters particularly for financial services, government and other regulated organisations.
Enterprise Cloud adoption should therefore start with requirements and constraints, not with the assumption that moving onto an Enterprise licence solves the problem.
Cloud Myth #6: “Our customised workflows mean we can’t move”
This is probably the cloud misconception that causes the most practical difficulty.
An organisation may have spent years configuring Jira and Confluence around existing teams and processes. There may be custom fields, workflows, scripts, automations, Marketplace apps and integrations that users now regard as essential.
The temptation is therefore to ask:
“Can we recreate everything we have today in Cloud?”
That is usually the wrong objective.
Atlassian itself maintains documentation covering functional differences between Cloud and its self-managed products. Cloud should not be treated as a one-for-one copy of the environment you are leaving. See Atlassian’s documentation on functional differences in Cloud.
More importantly, migration is an opportunity to challenge whether all that existing configuration should survive.
A ten-year-old workflow is not automatically valuable because it has existed for ten years.
Unused projects, redundant apps, duplicate custom fields, inconsistent permission models and inherited process complexity are all candidates for rationalisation before migration.
A better set of questions is:
What genuinely creates value?
What exists only because of historic technical constraints?
What could be standardised?
What should be retired rather than migrated?
This is where migration assistants and automated tooling only solve part of the problem.
For complex estates, Catapult’s Atlassian consulting services assess applications, permissions, workflows, integrations and governance alongside the migration itself, so organisations can decide what should move, what should change and what should be removed.
Our Atlassian Cloud Migration Checklist covers that process in more detail.
Don’t replace one cloud myth with another
The old debate about Cloud was often too binary.
One side assumed that giving infrastructure to a SaaS provider meant losing security, performance and control.
The other assumed that moving to Cloud automatically removed technical debt and operational risk.
Neither position is particularly useful.
Atlassian Cloud can remove significant infrastructure overhead and provide enterprise-level capabilities around availability, identity, administration and data management.
But it will not automatically fix bad permissions, unnecessary applications, over-engineered workflows, poor governance or years of accumulated Jira complexity.
With affected Atlassian Data Center products now on a defined path towards end of life in 2029, organisations have a stronger reason to make these decisions. They also have enough time to make them properly. See Atlassian’s Data Center end-of-life guidance.
The organisations likely to get the most from Cloud will not simply migrate fastest.
They will understand what they have first.
Know what you’re moving before you move it
If concerns around security, permissions, workflows, apps or accumulated complexity are making your Atlassian Cloud decision harder, start by establishing what is actually happening in the estate.
Catapult’s Atlassian Healthcheck reviews your Atlassian environment across governance, permissions, workflows, app usage and migration readiness, giving you a clear view of what needs fixing, simplifying or protecting before you make the move.
Frequently asked questions
What are the most common Atlassian Cloud myths?
Common misconceptions include that Atlassian Cloud is inherently less secure, removes organisational control, performs worse than self-managed infrastructure, is unsuitable for large enterprises, makes administrators unnecessary or cannot support customised ways of working.
Most contain a legitimate concern underneath them. The issue is usually not whether Cloud is universally safe or unsafe, but whether its controls and operating model meet the organisation’s requirements.
Is Atlassian Cloud less secure than Data Center?
Not inherently. Cloud and Data Center distribute security responsibilities differently. With Cloud, Atlassian manages more of the underlying platform while customers remain responsible for areas such as access, configuration, data use and governance. Organisations should assess the resulting model against their own security and regulatory requirements rather than assuming one deployment model is automatically safer.
Can all Jira and Confluence customisations move to Cloud?
Not necessarily. Atlassian documents functional differences between Cloud and self-managed products, and Marketplace applications may also differ between deployment models. Migration planning should identify which workflows, apps, integrations and configurations can migrate, which need redesigning and which should be retired.
What changes for Atlassian Data Center customers before 2029?
Atlassian has announced that affected Data Center products will reach end of life on 28 March 2029. Existing affected environments become read-only when the relevant subscriptions expire at that point. Atlassian has stated that limited extensions may be available by exception for some organisations with complex requirements. Bitbucket Data Center and Jira Align Data Center are excluded from the main Data Center end-of-life treatment.
