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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesAssess a smaller cloud provider against each workload’s security, resilience, technical, compliance, operating, and exit requirements—not against its size alone. Before moving production, establish what the workload needs, verify the provider’s evidence and contractual commitments, and rehearse migration, rollback, and eventual exit. The available guidance does not establish that provider size predicts service quality or offer a comparative ranking of smaller providers.
1. Set requirements for each workload
Start with the consequences of a breach, data corruption, or service interruption. A system holding sensitive data or supporting a critical business function generally calls for stronger evidence and tighter recovery requirements than a low-impact workload. Record the business owner, criticality, data sensitivity, expected demand, availability needs, legal obligations, and the effect of degraded service.
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Write down workload-specific service-level expectations, recovery point objective (RPO), and recovery time objective (RTO). RPO defines how much data loss is tolerable; RTO defines how long recovery may take. These requirements should shape backup, replication, and failover design. The UK National Cyber Security Centre (NCSC) offers both comprehensive cloud-provider guidance and a lighter approach for smaller organizations or less sensitive use cases; its guidance is UK cybersecurity guidance, not a substitute for local legal or regulatory advice. Read the NCSC’s guidance on choosing a cloud provider.
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Separate hard requirements from preferences
Mark requirements that cannot be traded away—such as an approved data location, a particular recovery capability, or a regulatory condition—separately from preferences such as a familiar management interface. That distinction makes it easier to reject a poor fit without letting an attractive price or feature obscure a hard failure.
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2. Build a verified workload baseline
Do not compare providers using a generic server specification or a single average-load estimate. Capture how the workload behaves during normal operation, peak periods, batch jobs, and expected growth. Validate automated discovery with the people who know the application: missing dependencies can invalidate both cost estimates and migration sequencing.
| Area | What to record |
|---|---|
| Demand and performance | CPU, memory, disk I/O, network throughput, concurrency, response times, job throughput, peak periods, storage growth, and scaling behavior. |
| Software and licensing | Operating systems, middleware, databases, application versions, required hardware, software licenses, and vendor compatibility constraints. |
| Security and access | Identities, service accounts, credentials, encryption methods, firewall rules, access controls, and security responsibilities. |
| Dependencies and operations | APIs, queues, databases, SaaS, batch jobs, data pipelines, identity services, observability, security controls, backup, and restore processes. |
| Business and recovery | Data sensitivity, legal or regulatory obligations, availability expectations, SLA needs, RPO, RTO, and the impact of a failed migration. |
Microsoft’s workload-assessment guidance covers baseline collection, dependencies, compatibility, and documenting SLA, RPO, and RTO requirements. It is vendor guidance rather than a neutral comparison of providers. See Microsoft’s workload assessment guidance.
3. Request evidence that matches the risk
Ask the candidate provider for evidence that addresses the requirements you recorded, rather than treating a certificate, sales presentation, or uptime claim as a complete answer. The confidence you need should reflect the impact of data being leaked or corrupted, or the service being unavailable. The NCSC describes a spectrum from provider assertions to independently assured and tested evidence.
- Security and responsibility: Request a clear shared-responsibility model, security documentation, access-control and personnel practices, vulnerability handling, and incident response procedures.
- Continuity and support: Ask how backup and disaster recovery work, what support escalation is available, how maintenance and changes are managed, and how service incidents are communicated. Review relevant service-status history.
- Assurance and audit: Request independent assurance or audit material where appropriate, and establish what audit access your organization has under the contract.
- Service delivery chain: Identify subcontractors, service locations, and where data is stored or processed. If the provider operates on another hosting platform, assess both the contracted service’s configuration and the underlying provider’s security features.
Compare each item with the workload’s actual requirements. For example, a recovery commitment is useful only if the provider can explain how its design and operating procedures support the RPO and RTO you need.
4. Confirm technical and operational fit
Compatibility on paper is not enough for production. Check the candidate environment with the real application, integrations, and operating procedures, including at peak demand. Determine which responsibilities belong to the provider and which remain with your team; a service can be technically capable and still be a poor fit if you cannot operate it reliably.
- Verify support for operating systems, middleware, databases, required hardware, identity integration, and network topology.
- Test application behavior, performance under measured peak loads, scaling, and compatibility with vendor software.
- Confirm that monitoring, logging, security controls, backup, restore, and failover work with the workload.
- Identify the people, skills, escalation access, documentation, and staffing needed to run the service day to day.
Use observed workload behavior and explicit test criteria to assess fit, not an unverified assumption that a migration will preserve performance or operating capability.
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5. Compare providers on the same workload and evidence standard
For each candidate, use the same workload profile and ask for evidence at the same level of detail. A side-by-side comparison helps separate a persuasive presentation from an actual fit.
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|---|---|
| Security and assurance | Are responsibilities clear? What evidence supports controls, incident handling, identity management, vulnerability management, and auditability? |
| Resilience | Do availability commitments, support coverage, maintenance terms, restore and failover capabilities, and incident communications meet the workload’s needs? |
| Technical fit | Are required software and integrations supported? Does measured peak performance, scaling, networking, and observability meet the baseline? |
| Compliance and data governance | Are the relevant services and regions eligible? Where are data stored and processed? What are the subcontracting, retention, deletion, and audit arrangements? |
| Portability and exit | Can data and metadata be exported in usable formats? What are the egress costs, transition rights, target environment, and tested exit assumptions? |
| Total cost and risk | What are the full service, licensing, support, migration, dual-running, and labor costs? What operational or concentration risks remain? |
| Customer operating fit | Can your organization staff, maintain, troubleshoot, and recover the workload with the available documentation and escalation support? |
6. Compare the complete contract and cost
Compare like-for-like costs for compute, storage, network, backup, support, managed services, taxes, licensing, migration labor, and expected growth. Include the work required to test, reconfigure, operate, and eventually leave the service. An attractive headline compute price does not establish the total cost of running the workload.
Have legal, procurement, security, and workload owners review the terms that determine whether the service can be governed and exited:
- Minimum commitments, price-change rights, taxes, and service-credit mechanics.
- Support response definitions, escalation terms, maintenance arrangements, and breach notification.
- Data-egress and extraction charges, termination and notice periods, and transition support.
- Audit rights, subcontracting, data location, data-return and deletion obligations, and governing law.
- Expected dual-running, reconfiguration, migration, testing, and exit costs.
The Australian Government Architecture checklist specifically addresses portability and exit considerations, including transition terms, audit access, migration costs, and data-return obligations. It is written for Australian government agencies and its policy context; other organizations should verify their own legal and contractual requirements. Consult the Australian Government Architecture portability and exit checklist.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.7. Check portability and make exit practical
Portability is more than the ability to copy application data. Establish what you can retrieve, in what form, how long retrieval takes, and whether the exported material is usable in a replacement environment. Include operational records and the information needed to rebuild and run the service.
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- Confirm formats, export mechanisms, retention periods, and any limits or charges.
- Check whether you can access and use the exports without relying on the provider’s proprietary tools or continued service.
- Map how identities, network rules, monitoring, security controls, and integrations would be recreated at the destination.
- Estimate the staff, transition support, reconfiguration, testing, and period of dual-running needed to leave.
A practical exit plan should name the workloads in scope, success criteria, exit triggers, target environment, technical and staffing needs, contractual issues, assumptions, owners, data-residency concerns, and a way to test the plan. AWS Prescriptive Guidance recommends testing exit plans and challenging assumptions, including through tabletop exercises or gamedays. It is vendor guidance, not a provider-neutral ranking. Review AWS guidance on exit strategies.
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8. Plan migration waves, cutover, and rollback
Sequence migration according to dependencies, criticality, team readiness, and data-transfer constraints. Group related components deliberately: moving one part of a tightly coupled system first can leave it unable to function. Define the success criteria and rollback path before production cutover, then test the plan.
- Choose a wave: Group components based on dependencies and impact, and confirm the team is ready to operate them at the destination.
- Plan data movement: Identify transfer method, constraints, validation checks, and how data changes during migration will be handled.
- Define tests: Set test cases for functionality, peak performance, security, backup and restore, and recovery against the workload’s requirements.
- Set go/no-go conditions: Specify measurable pass criteria, decision-makers, cutover timing, communication channels, and the point at which the migration must stop.
- Write the rollback procedure: Document how to restore the prior service path, data consistency steps, responsible owners, and the time limit for a safe rollback.
- Rehearse and review: Test the sequence and challenge assumptions before relying on it for a live production change.
Microsoft’s migration-planning guidance covers sequencing, data migration, and rollback planning. See Microsoft’s migration planning guidance.
9. Apply extra regulatory diligence where relevant
Regulatory obligations depend on the organization, jurisdiction, service, and function being outsourced. For regulated financial firms, first determine which rules apply and how critical or important the function is. ESMA’s 2025 report discusses due-diligence considerations including provider resources and reputation, security, support, continuity, interoperability, portability, location and subcontracting risks, and concentration. Its scope is specific to financial firms in its regulatory setting; it is not a universal checklist for every organization. Read ESMA’s 2025 report on outsourcing to cloud service providers.
10. Make the decision workload by workload
A smaller provider may be suitable when it can demonstrate that its service, evidence, and contractual commitments meet a workload’s requirements—and your organization can operate, recover, and exit that workload credibly. Keep a workload where the provider cannot meet a hard security, residency, compliance, continuity, compatibility, or exit requirement. The decision should follow the evidence for the particular workload; the guidance cited here does not establish a universal provider-size threshold or comparative ranking.
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