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Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Choose a cloud service provider by first defining what your workloads, data, compliance obligations, and team actually require. Then compare providers against those requirements—not just headline prices—and validate the leading option with a workload test, a full cost model, and a review of security and contract terms.
Start with the workload, not the provider
There is no universally best cloud provider. A provider that suits one organization may be a poor fit for another because of differences in workloads, data sensitivity, geography, regulatory obligations, resilience targets, and the skills available to operate the environment.
NIST defines cloud computing as a model for convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort (NIST, 2011). For provider selection, the practical implication is to identify which capabilities you need to consume and which responsibilities your organization must retain.
Inventory each workload
For every application or service being considered, record:
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- Its purpose, users, dependencies, and whether it can be moved or changed independently.
- Data types and sensitivity, including any residency, privacy, retention, or deletion obligations.
- Typical and peak demand, growth expectations, and whether usage is steady, seasonal, or unpredictable.
- Latency expectations, users’ locations, required regions, and dependencies on nearby systems.
- Recovery time and recovery point objectives, backup needs, and acceptable downtime.
- Current software licenses, integrations, network connections, and operational procedures.
These details turn a vague cloud comparison into a set of workload-specific requirements. They also expose requirements that can rule out a provider before you spend time comparing optional features.
Choose the right service model
NIST’s evaluation guidance groups cloud capabilities into SaaS, PaaS, and IaaS (NIST, 2018). These models differ in how much of the technology stack the provider operates and how much control remains with your team. A managed service may also be the practical way to consume a capability within one of those models.
| Model | What you generally consume | What your team should plan to manage |
|---|---|---|
| IaaS | Foundational computing resources such as virtual machines, storage, and networking. | More of the operating environment and configuration, including guest systems and workloads, depending on the service. |
| PaaS | A managed platform for building, running, or deploying applications. | Application code, data, access settings, and service configuration; the provider operates more of the underlying platform. |
| SaaS | A ready-to-use application delivered as a service. | Use of the application, user and access administration, data handling, and configuration available to the customer. |
This table describes the general distinction, not a guarantee that every service places the same tasks on the customer. NIST SP 800-210 explains that access-control needs differ across IaaS, PaaS, and SaaS (NIST, 2020). For each candidate service, document who configures identity and permissions, protects data, applies updates, maintains logs, and responds to incidents.
Set mandatory requirements before scoring providers
Separate requirements that must be met from preferences that can be scored. A hard requirement might be a permitted data location or a specific form of security evidence; a preference might be a broader set of managed services or a larger local partner ecosystem. If a provider fails a mandatory requirement, do not let a high score on unrelated features compensate for it.
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Security, privacy, and compliance
Specify the security and privacy outcomes your organization needs, then ask for evidence that applies to the exact services and regions under consideration. Depending on the workload, requirements may cover identity and access controls, encryption, logging, backup, incident response, audit evidence, and data handling. Confirm the scope and currency of any certification, authorization, or audit report rather than assuming it covers every product or configuration you plan to use.
Rank #2
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Security is shared. AWS describes the distinction as customer security “in” the cloud and provider security “of” the cloud, with responsibilities varying by service (AWS, current guidance). A provider’s controls do not remove the customer’s need to configure access, govern data, and operate workloads securely. The UK National Cyber Security Centre advises organizations to decide whether a provider is secure enough for their own requirements and to seek evidence such as recurring audits (NCSC, current guidance).
Geography, resilience, and policy
Check whether the required services are available in acceptable regions and whether their deployment options can meet your latency and recovery objectives. Confirm where data is stored and processed, what resilience options apply to the specific service, and whether those options fit your architecture. Treat sustainability or other organizational policies as explicit requirements when they affect procurement, rather than as assumptions about a provider.
Compare providers with a weighted scorecard
Once mandatory requirements have narrowed the field, score each viable candidate against the same criteria. Have the relevant stakeholders agree on the importance of each criterion before assigning scores. A simple approach is to rate each provider against each criterion using a consistent scale, multiply each rating by its agreed weight, and compare the resulting totals. Record evidence and open questions alongside scores; a number without an explanation can hide a weak assumption.
| Criterion | What to compare | Evidence to collect |
|---|---|---|
| Workload and service fit | Whether the required capabilities exist and fit the workload’s architecture and dependencies. | Service documentation, supported configurations, and results from a representative workload test. |
| Regions, latency, and resilience | Required locations, expected response times, and options relevant to recovery and availability objectives. | Service- and region-specific documentation and test results for your architecture. |
| Security and compliance evidence | Whether controls and evidence address your organization’s obligations and the chosen services. | Current audit materials, applicable compliance documentation, and service-specific responsibility details. |
| Identity and access controls | Whether the available controls support your access policies and operating model. | Configuration documentation and a review of the controls your team must implement. |
| Price and predictability | Expected cost across usage scenarios, including support and related operating costs. | Current prices, a workload-level model, billing reports where available, and usage-alert options. |
| Data-transfer exposure | How data movement into, within, and out of the environment affects cost and architecture. | Current transfer pricing and estimates of data volumes and movement patterns. |
| SLA and support | Service commitments, support coverage, escalation paths, and remedies. | Applicable service-level terms, support terms, and incident escalation procedures. |
| Portability and exit effort | How difficult it would be to move applications and data or end the relationship. | Export formats, migration tools, dependencies, termination assistance, and deletion terms. |
| Ecosystem and skills | Whether your staff, documentation, and available partners can support the platform. | Internal skills assessment, documentation review, and relevant partner availability. |
| Sustainability and organizational policy | Whether the provider can meet any applicable policy or procurement requirement. | Evidence that addresses the specific policy criteria your organization applies. |
AWS’s provider-selection guidance likewise calls attention to service breadth and depth, security and compliance needs, and the partner network. Those are useful comparison dimensions, but they do not establish a universal ranking among AWS, Microsoft Azure, Google Cloud, or other providers.
Build a cost model that reflects real use
Do not compare providers using a single list price or a generic calculator result. Build the model around each workload and estimate its baseline and peak usage, then test alternative demand scenarios. AWS procurement guidance recommends using public, current pricing and calculators, detailed billing reports, and usage alerts; those tools help structure an estimate but do not replace workload-specific assumptions.
Rank #3
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Include the full cost of adopting and operating the workload:
- Compute, storage, networking, and other metered service usage.
- Data transfer and egress, based on expected movement rather than an assumed zero.
- Support plans and any relevant software or platform licenses.
- Migration, testing, and changes needed to make the workload fit the target services.
- Staffing, training, operational tooling, and partner assistance.
- Backup, recovery, security, and monitoring costs needed to meet your requirements.
- Future portability, data export, and exit work.
Record the assumptions behind the estimate, including utilization, growth, retention, transfer volumes, and support needs. Check current provider prices and terms at procurement time: prices, service availability, regions, SLAs, compliance authorizations, and partner terms can change.
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Test the leading option with a representative workload
Before committing, run a proof of concept or a controlled migration of a representative workload. Choose a test that exercises the features and operating tasks likely to drive your decision; a demonstration that avoids those details will not validate the assumptions in your scorecard.
Measure the workload’s performance and reliability against its actual requirements. Also record operational effort, security configuration work, integration issues, and the cost drivers visible during the test. Use the findings to update the cost model and scores. Generic benchmarks may not reflect your workload, configuration, or data-transfer pattern, so do not treat them as a substitute for this validation.
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Provider capabilities are only part of the decision. NIST SP 800-144 recommends addressing matters such as facility locations, service levels, independent assessment, remedies, data handling, and return or deletion of data at termination in contract language (NIST, 2011).
Rank #4
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Ask the provider and your legal, security, and procurement teams to resolve the following points for the services being purchased:
- Which locations may store or process the data, and how are location changes handled?
- What service levels apply, how are they measured, and what remedies are available if they are missed?
- What audit evidence can you obtain, and what assessment rights apply?
- How are incidents communicated and escalated?
- How can you export data, in what format, and what assistance is available during termination?
- How and when will data be returned or deleted, including copies retained under applicable processes?
- Which services, formats, or integrations could make migration difficult, and what would reducing those dependencies require?
Portability is not just a technical property. Estimate the work and cost of moving applications and data, identify dependencies on provider-specific services, and agree on any termination assistance or transition obligations before they become urgent.
Make and maintain the decision
Bring architecture, security, privacy, finance, operations, and procurement into the final review. Ask them to verify the assumptions that affect their responsibilities, note trade-offs that were accepted, and identify unresolved risks. Document why the selected option meets the mandatory requirements and where another candidate scored better but was not chosen.
Set a review trigger for material changes to prices, service availability, regulation, workload demand, or organizational policy. Revisit the decision when one of those changes affects the assumptions on which the original scorecard and cost model depended.
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