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Build the estimate from measured workload demand and a defined target architecture—not from your current monthly bill alone. Map each SaaS component to a destination service, model its region, usage and service level, include the related network and operating costs, then test the assumptions and revise the estimate against measured usage. A calculator can help with planning, but its result is not a guaranteed invoice.
What should a pre-migration estimate include?
Estimate the recurring cost of the target design for a clearly defined workload and period, usually a month and a year. Include every service the SaaS needs to run at its expected load and meet its availability, performance, security and retention requirements. If the migration changes how the service is operated, account for that change too.
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A useful model separates cost categories so you can see what drives the total and which assumptions need validation. Not every workload uses every category, and providers may price similar capabilities differently.
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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problems| Cost category | Inputs to gather | What to check in the target design |
|---|---|---|
| Compute | CPU and memory demand, workload shape, expected operating hours and scaling pattern | Instance or service type, size, count, scaling rules and whether the service runs continuously |
| Databases and data services | Database size, engine, I/O or throughput needs, performance and availability requirements | Managed database tier, replicas or other availability configuration, and any queues or caches |
| Storage | Capacity, growth, access pattern and retention period | Storage type, backup copies, snapshots and lifecycle or retention settings |
| Network and content delivery | Inbound and outbound traffic, transfers between services, and expected CDN delivery | Regional placement, data-transfer charges, and any network or CDN configuration costs |
| Security, management and observability | Required controls, logging and metrics volume, monitoring scope | Which security and management services are enabled, and how much data they process or retain |
| Support and operations | Required support level and the skills, training or process changes needed to operate the design | Support plan and operational work that is not represented by infrastructure line items |
Use the table as a completeness check, not as a claim that every provider calculator prices every row. For example, AWS says its Modernization Calculator for Microsoft workloads does not include data-transfer charges or additional service configurations in its monthly estimate. Those costs need to be considered separately if they apply to your design.
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How do you build the estimate?
- Define the comparison. Write down what is moving, its current hosting environment, the destination provider and region, and the planned migration approach. Rehosting, replatforming and rearchitecting can lead to different target services, so an estimate is only comparable when its design is clear.
- Gather workload evidence. Collect bills and usage history, then add resource and performance data where available. Useful measures include CPU, memory, disk I/O, latency and network throughput. Invoice totals show what was paid, but do not by themselves explain which resources the workload needs or how it uses them.
- Map SaaS components to target services. List application tiers and supporting components such as databases, queues, caches and object storage. Choose target service tiers and sizes from requirements and measurements rather than assuming the current machine or service shape transfers unchanged. Service tiers can differ in performance, scaling, availability and features.
- Set usage and geography assumptions. Specify the destination region, expected traffic, operating hours, storage quantities, transfer volumes and required availability. Check each calculator’s usage and pricing settings. For example, Azure Migrate documentation describes monthly VM costs using a 744-hour uptime assumption; verify that setting against your planned operating profile rather than treating it as a universal monthly workload.
- Add supporting and operating costs. Review storage, database, network transfer and I/O charges alongside backups, security, management, monitoring, support and any operational changes required by the target architecture. Check what the chosen estimator includes and excludes; do not assume that a headline monthly total covers every configuration or service.
- Compare like with like. Keep traffic and data volume, region rationale, uptime, availability, retention, service level and discount or commitment assumptions consistent across scenarios. Compare both monthly and annual run rates, the services covered, and the exclusions—not just the final totals.
- Validate and update. Where feasible, deploy a representative test workload and measure it. Small-scale proof-of-concept deployments and distributed load tests can improve usage forecasts. Once the SaaS runs in the target environment, compare actual usage and cost with the model and revisit assumptions when traffic, architecture or spending diverges.
Which provider tools can help, and what are their limits?
| Tool | Useful for | Important scope or assumption to check |
|---|---|---|
| AWS Pricing Calculator | Estimating AWS services, modeling workload changes and region migration scenarios; historical usage can help seed an estimate for an existing workload. | Review the selected service configurations and line items. The result depends on the services and inputs included in the model. |
| AWS Modernization Calculator for Microsoft workloads | Starting an estimate for a modernized AWS design for supported Microsoft workload patterns. | AWS says its monthly estimate excludes data-transfer charges and additional service configurations, and is not an actual price quote. |
| AWS Migration Evaluator | A complimentary, data-driven assessment and business-case service for cloud planning and migration, as described by AWS. | Check what workload data and assumptions the assessment uses, then confirm that its scope matches the target design you want to price. |
| Azure Pricing Calculator and Azure Migrate | Architecture-based estimates using usage history for existing workloads, or projected usage and test deployments for new ones. Azure Migrate assessments can evaluate readiness, right-size targets and estimate monthly resource costs. | Results depend on target and pricing settings. Azure Migrate assessments are point-in-time snapshots, not continuously refreshed guarantees. |
| Google Cloud Migration Center Quick TCO Estimator | Rapid infrastructure estimates using manually entered totals or RVTools exports. | The documented estimator does not accept database-specific inputs such as engine type or database size. Check whether the infrastructure estimate adequately represents your database and other managed services. |
Provider estimates are planning tools, not interchangeable quotations. Before comparing totals, inspect each tool’s input requirements, line-item detail, included services and exclusions. An estimate that omits a database, transfer charges or required configuration can look lower without describing an equivalent design.
How should you compare architecture or provider scenarios?
Use one workload profile as the basis for each scenario, then change only the design choices you intend to evaluate. Record the assumptions beside every result so a later reviewer can distinguish a real architecture difference from a change in calculator settings.
- Workload size and traffic pattern, including expected operating hours and growth assumptions.
- Destination geography, service tier, performance target, uptime and availability requirement.
- Database and storage design, including capacity, backup approach and retention.
- Data-transfer and CDN assumptions, plus network or service-to-service traffic.
- Security, monitoring, management and support services required by the design.
- Pricing commitments or discounts, with their assumptions made explicit.
- Calculator data inputs, service coverage, line-item transparency and documented omissions.
If two scenarios differ in more than the design choice under review—for example, one uses a different region, traffic volume or retention period—the totals do not isolate the effect of that choice. Either align those inputs or describe the result as a comparison of different operating scenarios.
How do you know whether the estimate is credible?
Treat the estimate as a hypothesis that becomes more useful as its inputs are tested. An early model is credible enough for planning when its workload evidence, target design and major assumptions are visible, and when the team has identified the cost categories or configurations that remain uncertain.
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- Traceability: Each significant quantity or service choice can be tied to usage evidence, a requirement or an explicit assumption.
- Coverage: The model includes the components needed to operate the SaaS, not only compute resources.
- Comparable scenarios: Differences in region, service level, usage, retention and pricing settings are deliberate and documented.
- Validation plan: The team knows which assumptions to test in a proof of concept or load test and which production measures will trigger a reforecast.
Azure Migrate documentation characterizes its assessments as point-in-time snapshots of data. More generally, no provider calculator can establish a reliable cost without a defined workload and architecture; update the model when the evidence or design changes.
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