Cloud migration cost estimates from vendors and consultants are frequently optimistic and frequently incomplete. They often capture the direct infrastructure cost of running workloads in the cloud, compare it favorably against on-premises hardware costs, and describe the migration itself as a technical project with a defined end date. The full cost picture is more complex — and for many smaller SaaS companies, the financial case for migration is less obvious than the vendor deck suggests. This piece provides a realistic cost model for a 50-person SaaS company migrating to public cloud.
Defining the Scope: A 50-Person SaaS Company
For this model: a 50-person SaaS company with a customer-facing web application, a PostgreSQL database, a microservices backend, a data analytics pipeline, and a development/staging environment. Infrastructure currently runs in a co-location facility on owned hardware: two application servers, a database server cluster, a data pipeline server, and a CI/CD build server. Annual co-lo cost including hardware depreciation, power, cooling, and data center fees: approximately $80,000–$120,000/year.
This is a representative scenario, not a universal one. Infrastructure complexity varies enormously. Adjust the model for your specific stack.
Phase 1: Assessment and Planning Costs
Before migration begins, the infrastructure must be inventoried, workloads must be sized for cloud equivalents, and a migration architecture must be designed. For a company without in-house cloud expertise, this typically requires a cloud migration consultant.
Cloud assessment and migration planning from a qualified cloud partner: $15,000–$40,000 for a company of this size. This includes workload discovery, application dependency mapping, cloud architecture design, and a cost model projecting 3-year cloud spend. Companies with in-house cloud-familiar engineers can reduce this cost by doing parts of the assessment internally.
Migration Execution Costs
The migration itself — moving workloads to cloud, configuring managed services, setting up CI/CD pipelines, establishing monitoring and alerting — typically takes 3–6 months for a company of this size. Cost drivers:
Professional services (consultant): $40,000–$100,000 for a full-scope migration. This range reflects the difference between a "lift and shift" migration (lower professional services cost, less cloud-native optimization) and a partial re-architecture for managed services (higher upfront cost, lower ongoing operational cost).
Engineering team time. The migration consumes engineering bandwidth that would otherwise go to product development. For a 50-person SaaS company with a 15-person engineering team, a meaningful migration may consume 25–40% of one or two senior engineers for 3–6 months. At a fully-loaded cost of $200,000–$300,000/year for a senior engineer, that engineering time cost is $25,000–$75,000 that doesn't appear in the migration invoice.
Double-running costs. During migration, both environments run simultaneously. 2–3 months of co-lo costs plus early cloud costs adds $15,000–$30,000 to the migration budget.
Total migration cost (professional services + engineering time + double-run): $80,000–$200,000 depending on scope and approach.
Ongoing Cloud Infrastructure Costs
Post-migration annual cloud infrastructure costs for the described workload on AWS (as a representative benchmark), using a mix of on-demand and 1-year reserved pricing:
Application tier (2x medium compute instances, reserved): approximately $4,000–$7,000/year. Database (managed RDS PostgreSQL, Multi-AZ, db.r6g.large): approximately $8,000–$12,000/year. Data pipeline (managed compute + S3 storage): $3,000–$6,000/year. Development/staging environment (off during non-business hours): $4,000–$8,000/year. Monitoring, logging, and security services: $4,000–$8,000/year. Support tier (Business): approximately $2,500–$5,000/year. Egress and miscellaneous: $3,000–$8,000/year.
Total estimated annual cloud cost: $28,000–$54,000/year. This compares favorably to the $80,000–$120,000 co-lo cost — but note that the co-lo cost included hardware amortization. If the owned hardware was fully depreciated, the co-lo annual cost might be closer to $30,000–$50,000 in ongoing facility fees, making the cost comparison much tighter.
The Hidden Cost: Cloud Operational Overhead
Cloud infrastructure doesn't manage itself. Many SMBs discover that cloud migration shifts costs from hardware and data center to cloud engineering labor. Ongoing cloud operations — monitoring and alerting tuning, cost optimization, security configuration, managed service upgrades — require either internal cloud expertise or a managed cloud services partner.
For companies without cloud-native engineers, a managed cloud services partner (a cloud MSP) typically costs $2,000–$8,000/month to manage a production cloud environment of this scale. This cost is often not in the pre-migration financial model.
Frequently Asked Questions
Is cloud migration always cost-justified for SMBs?
No. For companies with stable, predictable workloads and fully-depreciated on-premises hardware, the financial case for cloud migration is often marginal or negative in the short term. Cloud migration is typically better justified by operational benefits (scalability, managed services reducing operational overhead, disaster recovery) than by pure cost reduction. Companies chasing cost savings alone often find the benefits overstated.
What is a cloud MSP, and how is it different from a traditional MSP?
A cloud MSP specializes in managing cloud infrastructure — AWS, Azure, or GCP environments — rather than on-premises IT. Cloud MSP capabilities include cloud architecture, cost optimization, security configuration, monitoring, and cloud-native managed services management. A traditional MSP that manages on-premises servers and workstations may not have cloud MSP depth. Look for cloud provider partner tiers (AWS Managed Service Provider Partner, Azure Expert MSP) as indicators of cloud-specific expertise.
What is the right migration approach for a company with limited engineering resources?
Lift and shift (rehosting existing VMs without re-architecting) minimizes the engineering investment during migration at the cost of not optimizing for cloud efficiency. For a company with limited bandwidth, lift and shift with a clear re-optimization roadmap is often the most practical approach — get to cloud first, optimize later rather than attempting a full re-architecture during the migration itself.