10 cloud migration risks and how to mitigate them
The business case is signed off. The migration has a budget, a sponsor, and a go-live date. What it often doesn’t have is a written answer to a simple question: what could go wrong?
The cloud gives you scalability and agility that on-premises servers rarely match. It also brings operational, financial, and security risks that don’t show up in the business case. Migration is complicated, and when it fails, the cause is usually planning, not technology. The good news is that most of these risks can be reduced if you plan carefully and stick to the plan.
This guide walks through the ten cloud migration risks you’re most likely to hit, a quick way to size them up, and practical steps to deal with each one before it reaches your customers or your budget. Whether cloud migration is your first step towards digital transformation or part of a broader programme, the same principles apply.
What are cloud migration risks?
Cloud migration risks are problems that could disrupt your business when you move applications and data to the cloud. Some affect day-to-day operations; others only become apparent when the bills arrive, or a compliance review reveals a gap.
They fall into three groups:
- Operational: service interruptions or problems with data and application performance after cutover.
- Security and compliance: inadequate protection of data or failure to meet regulatory requirements.
- Financial: costs that exceed the budget or expected savings that fail to materialise.
Some parts of a cloud migration are work you can see coming. If your team needs training or an old application needs rewriting, you can budget for it and allow time in the schedule. A failed data sync during cutover is different: it may never happen, but you still need to know what you’ll do if it does.
The distinction helps you plan. Known work goes into the estimate. A possible failure goes into the risk register, with someone responsible for it and a response agreed in advance. Revisit those risks as the migration progresses; testing may expose a problem you hadn’t considered or show that an earlier concern has been resolved.
You’ll also need to check who handles security controls in the new environment. The split varies by cloud service, so confirm what the provider covers and what your team must manage before moving data.
How to run a cloud migration risk assessment
Do the assessment before you choose a migration strategy, and revisit it before each wave, using what testing and earlier moves have taught you.
- Map your workloads. Record every application’s dependencies and the data it handles. Don’t forget scheduled jobs, which have a habit of slipping through a server inventory. Separate regulated data from data that’s simply critical to daily operations, since the two may need different controls.
- Score each risk. Rate likelihood from 1 (unlikely) to 3 (likely), then impact from 1 (minor) to 3 (severe), and multiply. In this model, anything that scores 6 or 9 needs an agreed mitigation before the affected workload moves.
- Give every risk an owner. Keep a register with six fields: risk, score, owner, mitigation, trigger, and status. Be specific about the trigger. If the final sync runs late, who decides whether to postpone cutover, and by when?
- Check readiness before each wave. Review unresolved risks with the people responsible for the affected applications. A workload might need more testing or a later date. Where dependencies allow, start with the lower-risk workloads.
| Impact ↓ / Likelihood → | 1 Unlikely | 2 Possible | 3 Likely |
| 3 Severe | 3 | 6 | 9 |
| 2 Moderate | 2 | 4 | 6 |
| 1 Minor | 1 | 2 | 3 |
Pair this workload assessment with clear migration phases, and the register becomes the backbone of your cloud migration strategy, rather than a document that gets filed and forgotten.
How risk changes with your migration approach
Every migration approach moves risk around. None of them removes it. This table shows where the pressure usually lands.
| Approach | Biggest risk | Where risk is lower | Watch for |
| Rehost | Cost creep, flaws carried over | Fast, little code change | Over-provisioning |
| Replatform | Compatibility gaps | Moderate effort | Lock-in to managed services |
| Refactor | Timeline and skills | Best long-term fit with cloud architecture | Scope creep |
| Repurchase (SaaS) | Data migration, lock-in | Less to maintain | Export and exit terms |
| Phased or hybrid cloud | Integration complexity | Limits the impact of any single failure | Latency between environments |
A phased migration is safer than a big-bang cutover because each wave is small enough to roll back. If you’re still deciding which approach suits each workload, start with how to choose a migration approach.
10 cloud migration risks and how to mitigate them
Understanding these risks can help you avoid costly setbacks and keep your move on track.
1. No clear migration strategy
Teams without a roadmap tend to find their dependencies halfway through the move. Then they redo work, and the costs creep up. Choosing the wrong platform early makes it worse, because every later decision sits on top of it, and changing providers mid-project is miserable.
How to mitigate it:
- Write a roadmap that pairs your workload assessment with defined migration phases.
- Compare platforms (Google Cloud, another hyperscaler, a regional provider) on the services you need, data regions, pricing models, support, and the skills your team already has.
- Put a cloud governance framework in place (tagging, account structure, policies) before the first workload moves, not after.
Most cloud providers will help with landing-zone design. The priorities and trade-offs, though, have to come from you. Get this part right, and the rest gets easier.
2. Downtime and business disruption
When an outage happens mid-migration, your customers feel it first. For an online shop or a booking system, every hour offline is revenue you won’t get back, and the dent in trust can last longer than the outage did.
How to mitigate it:
- Migrate in phases rather than all at once, so a problem hits one wave and not everything.
- Run a pilot on a non-critical workload. Tooling and configuration issues show up there, where they’re cheap, instead of during the full deployment.
- Move the non-critical applications first and keep customer-facing systems on-premises until you trust the process.
- Agree cutover windows with the business, and keep a tested rollback plan for every wave.
The best sign of a good migration is often that your users never noticed it happened.
3. Data loss and corruption
Interrupted transfers, format mismatches, and failed syncs can lead to data loss or data corruption. The worst cases surface weeks later, when someone runs a report, and the numbers don’t add up.
How to mitigate it:
- Take full backups, and test your disaster recovery plan before you migrate data, not while you’re doing it.
- Run integrity checks after every transfer: checksums, record counts, spot checks on your most important tables.
- Test applications before and after the move using real workflows, not synthetic pings.
Give data migration its own workstream and its own sign-off. Building data protection in at the start is far easier than repairing damage later.
4. Security gaps and data breaches
Misconfiguration is one of the most common ways a breach happens during a move. A storage bucket left public. A firewall rule opened “just temporarily”. A test environment that quietly contains production data. Migration also widens insider risk, because more people than usual hold elevated access. And every copy left behind in a staging area adds to data sprawl, which is one more thing you have to protect.
How to mitigate it:
- Encrypt data in transit and at rest. Sensitive data should be encrypted before it leaves your data centre.
- Tighten identity and access management: least-privilege access, multi-factor authentication on every admin account, and migration accounts removed once cutover is done.
- Use a cloud access security broker to see which cloud services people are using and to catch shadow IT.
- Switch on data loss prevention policies in the new environment from day one.
- Agree shared responsibility up front. Know which controls your provider gives you and which are still yours.
Security measures in place before you migrate prevent most of these problems. Leave security until after go-live, and what could have been a concern becomes an incident.
Turn migration uncertainty into a clear plan
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5. Compliance violations
Data that crosses a border, ends up in the wrong region, or sits in a misconfigured store can put you in breach of GDPR, HIPAA, or sector rules before the migration is even finished. The penalties are steep. Under the EU General Data Protection Regulation, the most serious infringements can be fined up to €20 million or 4% of worldwide annual turnover, whichever is higher.
How to mitigate it:
- Map each regulation to the data classes from your risk assessment, so you know which workloads need extra controls.
- Use automated compliance tools that check configurations all the time, not only when an audit is on the calendar.
- Keep audit evidence (access logs, encryption settings, data locations) through every wave.
6. Cost overruns and hidden costs
Overspending is one of the most common migration headaches, and it rarely comes from one place. The upfront costs for infrastructure, tooling, and consultants arrive early and are easy to see. The hidden ones come later:
- Dual running: you pay for on-premises and cloud capacity at the same time until each wave is cut over.
- Egress and data transfer fees: moving data out of a cloud, or between regions, costs money that almost never appears in the first estimate.
- Over-provisioning: rehosted servers often keep their on-premises sizing, so you pay for capacity you’re not using.
- Licences: some software licences don’t transfer to the cloud, or cost more when they do.
The waste is real. In the Flexera 2026 State of the Cloud Report, 85% of respondents named managing cloud spend as a key challenge, and organisations estimated that 29% of their IaaS and PaaS spend was wasted. When the savings you were promised don’t materialise, some companies move workloads back on-premises. That’s the most expensive outcome of all.
7. Skills gaps in your team
Your IT team knows your current infrastructure inside out. Cloud-native tools and architectures are a different discipline, though, and the cloud skills shortage has been one of the biggest gaps in IT since 2021. Plenty of organisations can’t hire enough people with the right experience, and teams without cloud-certified staff tend to make expensive mistakes.
How to mitigate it:
- Start training early, with certifications tied to the platform you’re moving to.
- Bring in consultants or third-party vendors for the specialist parts, such as cloud architecture and security design, and write knowledge transfer into the contract.
- Pair your engineers with experienced specialists during the first waves, so the skills stay with you when the project ends.
8. Legacy systems, latency and bandwidth
Legacy systems often run on outdated technology that cloud platforms simply don’t support. Moving them can mean serious modification. They may lack modern security features, and they tend to hide interdependencies that only come to light when something breaks. Physics gets a vote too: large data volumes hit bandwidth ceilings, and workloads split between on-premises and cloud can suffer from network latency.
How to mitigate it:
- Map dependencies before you schedule waves, and move tightly coupled systems together.
- Decide per application whether to modify it, wrap it with APIs, or replace it.
- Measure your available bandwidth before you plan data transfer, and think about offline transfer for very large datasets.
- Test integrations thoroughly, including performance under realistic load, so your cloud resources and existing systems work together without gaps.
Integrating legacy systems smoothly is possible. It just doesn’t happen if testing gets squeezed in at the end.
9. Vendor lock-in and loss of data sovereignty
Proprietary managed services make migration quicker today and leaving harder tomorrow. Once your workloads lean on one provider’s databases, queues and identity services, switching can mean months of rework. European organisations also face a second question: not only where your data is stored, but who controls the provider. Data hosted in the EU isn’t automatically out of reach of non-EU jurisdictions.
How to mitigate it:
- Build on portable foundations (containers, open standards, open-source components) wherever the trade-off makes sense.
- Write an exit strategy before you sign, including how you’d export your data and rebuild services elsewhere.
- Keep a list of the proprietary services you use and what would replace each one.
If portability and control are non-negotiable for you, NoviArc (Spyrosoft Cloud Foundry) is a production-ready platform built on upstream, open-source Kubernetes. It runs on the infrastructure you choose, including on-premises and hybrid setups. Nothing is licensed back to you, so you keep the platform and can move it when you need to.
10. Post-migration drift and weak governance
Cutover isn’t the finish line. Over the following months, configurations drift away from their approved state, untagged resources pile up, old accounts stay active, and teams spin up services nobody is keeping track of. Each one weakens your security posture and nudges the bill upwards.
How to mitigate it:
- Monitor and optimise cloud resources continuously, not once a quarter.
- Enforce your rules with policy as code, so non-compliant resources are blocked or flagged automatically.
- Review your security posture and resource utilisation regularly against the baseline you set before the move.
- Decommission old on-premises systems as soon as each wave is stable, so you stop paying twice.
Cloud migration risk checklist
Before your first workload moves, make sure you have:
☐ A risk register with scores, owners, and mitigations
☐ A migration roadmap with defined phases and a pilot
☐ Tested backups and a disaster recovery plan
☐ Encryption, IAM, and MFA in place before data moves
☐ A compliance map for each data class
☐ A cost baseline, tagging rule, and budget alerts
☐ A training plan or external expertise lined up
☐ An exit strategy and a post-migration monitoring plan
Tick every box, and you’re starting from a much stronger place. No migration avoids every problem. The ones that go well are the ones where problems get spotted early, and somebody already knows what to do about them.
Find the gaps before you commit to the move
Good migration planning comes down to questions that someone can actually answer. Which system still needs that database? How long will the final transfer really take? What has to happen before we can stop paying for the old environment?
A discovery audit with NoviArc turns those questions into part of the plan. It covers your current environment, application dependencies, migration readiness, and risks, then lays out a target architecture and a phased roadmap. AI supports the discovery process, with a Spyrosoft architect reviewing and signing off the recommendations.
Book a no-obligation, 30-minute workload and total cost of ownership (TCO) session with a Spyrosoft architect to discuss your migration. Bring the applications you’re considering moving, your constraints, and your questions about costs.
FAQ: cloud migration risks
Downtime, data loss or corruption, security and compliance gaps, cost overruns, skills gaps, legacy compatibility problems, and vendor lock-in. Most of them come back to weak planning, so a risk assessment and a phased roadmap will head off a large share of them before the first workload moves.
Misconfiguration (public storage, open firewall rules), weak identity and access controls (shared admin accounts, no MFA), and unprotected data in transit. Encrypting your data, enforcing least-privilege access, and checking configurations automatically covers all three.
List your applications, dependencies, and data classes. Score each risk for likelihood and impact on a scale of 1 to 3, then multiply the two. Give every high-scoring risk an owner and a mitigation in a risk register, and review that register before each migration wave.
Move in phases rather than in one big cutover, start with a pilot on a non-critical workload, and agree cutover windows with the business. Keep a tested rollback plan for every wave, and sync data continuously until the final switch so the gap between systems stays small.
Usually because of dual running costs, data transfer and egress fees, oversized resources carried over from on-premises, and licences that don’t transfer. Without a cost baseline and tracking from day one, these pile up unnoticed until the first few monthly bills land.
It defines who secures what in the cloud. Your provider secures the underlying infrastructure: data centres, hardware and the core network. You stay responsible for your data, identities, access settings and configurations. The split differs between IaaS, PaaS and SaaS, so check it for every service you use.
Usually, yes. Smaller waves limit the damage from any single failure and let you learn as you go. The catch is a hybrid period where systems run in two places, so plan for integration, latency, and dual running costs while it lasts.
Prefer containers, open standards, and open-source components over proprietary managed services where the trade-off is reasonable. Write an exit strategy before you sign, keep your data in exportable formats, and know which services you’d have to replace if you ever needed to switch providers.
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Find the risks before you migrate
Marcin Waleczko
Vice President of Client Services
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