When enterprise IT leaders and systems integrators (SIs) sit down to plan their AWS migrations, the first question is almost always: How do we control costs and maximize ROI when moving complex VMware and database workloads?

The traditional answer usually revolves around compute. Teams spend months obsessing over CPU sizing, memory allocation, and infrastructure mapping to capture immediate performance wins. But while compute gets 99% of the attention, another critical component is left on autopilot: storage.

Accepting basic block storage as the default setting is the silent killer of cloud migration ROI. Here is why the "default" approach leads to massive cost overruns, and how the most successful IT teams are updating their playbook to prevent them.

The Trap: Treating Storage as an Afterthought

It is a natural mistake. Generic, manual migration assessments—often built on simple spreadsheets—naturally default to standard cloud disk options like Amazon Elastic Block Store (EBS).

While standard block storage is highly effective for many use cases, treating it as a catch-all for complex enterprise applications is a dangerous game. Enterprise workloads demand consistent IOPS, strict latency requirements, and advanced data management. If you fail to account for these nuances during the planning phase, the results are predictably painful:

• Massive Over-Provisioning: You end up paying top-tier prices to store years of cold, infrequently accessed data simply because it lives on the same volume as your active database.

• Performance Bottlenecks: Unforeseen throttling begins to impact mission-critical applications.

• Expensive Retrofitting: You find yourself spending again just to retrofit a third-party fix into a live, production environment.

The Solution: AI-Driven Storage Modeling

We have to stop treating enterprise storage features as post-migration afterthoughts.

To accurately predict cloud costs and prevent over-provisioning, SIs and IT leaders use platforms like Matilda Cloud to move beyond generic sizing ratios. Instead of guessing, organizations must use AI-driven discovery to map exact, observed workload behaviors directly to enterprise-grade solutions like Amazon FSx for NetApp ONTAP (FSxN)—before a single byte ever moves.

By assessing how workloads will perform on a sophisticated multiprotocol solution like FSxN during the planning phase, organizations can unlock capabilities that fundamentally change the cost equation:

• Intelligent Data Tiering: Automated policies push cold data to lower-cost capacity tiers, ensuring high-performance storage is reserved only for the data that actually needs it.

• Storage Efficiencies: Features like thin provisioning, deduplication, compression, and compaction maximize storage efficiency, meaning you only pay for what you actually use.

• Native AWS Synergies: Because FSxN is a first-party, fully managed AWS service, organizations can seamlessly apply their existing AWS enterprise discount programs and credits to fund their storage infrastructure.

Information Gain: Right-Sizing from Day One

The financial impact of identifying these efficiencies upfront is staggering. In recent assessments, modeling workloads against FSx for ONTAP configurations has revealed cost advantages of up to 40% compared to alternative AWS storage options.

This is why forward-thinking partners, such as Apps Associates, are integrating AI-driven storage assessments into their cloud delivery models. By identifying the exact financial and operational impact of enterprise storage features upfront, they help their customers realize immediate ROI and right-size their deployments on AWS from day one.

Stop Guessing. Start Modeling.

The most expensive business mistakes start by using the "default" setting. If your cloud migration assessment doesn't account for advanced storage architecture, you are flying blind into your cloud transition.

By leveraging an AWS Migration Acceleration Program (MAP) certified assessment platform like Matilda Cloud, you can build a highly optimized, AWS-funded migration roadmap that takes the guesswork out of your enterprise cloud costs.