Quick Answer

Cloud migration services cover the full lifecycle of moving on-premises workloads to cloud infrastructure, including assessment, architecture design, phased migration, and post-migration operations. For enterprise IT teams managing complex SAP environments or large VM estates, the difference between a clean migration and a costly one comes down to what happens in the 90 days before the first workload moves.

Table of Contents

• Quick Answer
• What Cloud Migration Services Actually Include
• Migration Strategies and When to Use Each
• What Enterprise IT Teams Must Do Before Migration
• After the Migration: The Part Most Teams Forget
• FAQ
• Start Your Migration Assessment

• What Cloud Migration Services Actually Include
• Migration Strategies and When to Use Each
• What Enterprise IT Teams Must Do Before Migration
• After the Migration: The Part Most Teams Forget
• FAQ

What Cloud Migration Services Actually Include

The term gets used loosely, so specificity matters. A complete enterprise cloud migration engagement covers four distinct phases.

Discovery and assessment. Before any workload moves, the team maps your current environment: applications, dependencies, data volumes, compliance requirements, and performance baselines. This phase surfaces the problems that blow up timelines when skipped. For organizations running SAP or large ERP environments, application dependency mapping is not optional. It is the single most important pre-migration activity.

Architecture design. The target cloud state must be designed, not assumed. This includes compute and storage configurations, network topology, identity and access management, and the cost model that finance will hold you to. Organizations that skip formal architecture design end up refactoring in production, which costs significantly more than designing correctly the first time.

Migration execution. Workloads move in structured waves based on complexity and business criticality. Most enterprise programs start with non-critical applications to validate tooling and runbooks, then move production systems in later waves once the process is proven. SAP and ERP migrations are usually scoped separately due to testing requirements and the system complexity involved.

Validation and cutover. Performance testing, security scanning, compliance verification, and the formal go-live process. This phase includes user acceptance testing and documented fallback procedures. The migration is not complete until the environment runs clean in production for a defined stabilization period.

What most vendors do not include by default is post-migration operations. Once the migration is complete, someone has to run the environment. The team that moved your workloads may not be the team best suited to manage them. That handoff is where many migrations quietly fail. Managing cloud operations with AI and ML techniques requires a different skill set than migration execution, and treating operations as an afterthought creates risk.

Migration Strategies and When to Use Each

The industry references seven migration strategies, but four apply to most enterprise programs.

Rehost (lift and shift). Move the workload to cloud infrastructure with minimal changes. This is fast and low-risk for stable applications that do not need cloud-native features. It is the right choice when speed matters more than optimization.

Replatform. Make targeted adjustments to leverage managed cloud services without full refactoring. Moving from a self-managed database to a managed service while keeping the application layer intact is a common example. You gain cloud efficiency without a complete rebuild.

Refactor. Redesign the application to be cloud-native. The upfront cost is higher, but the result is an application that actually uses the cloud as designed. This makes sense for applications that will run in the cloud for years and need dynamic scaling.

Retire or retain. Some applications should not move. A rigorous discovery process identifies which workloads can be decommissioned and which should stay on-premises due to latency, compliance, or integration complexity.

Enterprise programs almost always combine strategies. Lift-and-shift works for stable legacy systems, replatform fits mid-tier applications, and refactor makes sense for customer-facing or high-volume systems where cloud economics matter most.

Timeline depends on scope, but the structure is predictable. Weeks one through six cover discovery and assessment. Weeks seven through twelve handle architecture design and environment build. Week thirteen onward is migration waves, followed by cutover and four to eight weeks of stabilization. Total timeline for a mid-to-large enterprise runs six to eighteen months. Programs that compress discovery and architecture phases almost always extend migration and stabilization by more than they saved.

What Enterprise IT Teams Must Do Before Migration

The preparation phase determines outcomes more than the execution phase does. Three things matter most.

Inventory your applications with dependency data. Every application has upstream and downstream dependencies. A migration that moves an application without accounting for those dependencies creates broken integrations. This is the most common source of post-migration incidents, and it is entirely avoidable with thorough discovery work.

Define governance before you need it. Cloud environments without governance become cloud environments with runaway costs. Establish tagging standards, budget alerts, and cost review cadences before the first workload lands. Retrofitting governance after migration is significantly harder than building it in from the start.

Align on the operating model. Decide who owns cloud operations after migration: internal staff, a managed services partner, or a hybrid model. Organizations that do not answer this question before migration end up answering it under pressure after go-live, which produces worse outcomes and higher costs.

Resolve Tech Solutions runs structured pre-migration assessments across AWS and Azure, including current-state architecture reviews, compliance gap analysis, and total cost of ownership modeling. The team manages over 6,000 virtual machines in production cloud environments, including one of the largest SAP environments on AWS. That operational depth changes how pre-migration planning is done because the team knows what problems surface in production, not just in planning documents.

For most enterprise workloads, both AWS and Azure are technically capable. The decision comes down to three practical factors: existing licensing agreements (Azure has a natural advantage for organizations with Microsoft Enterprise Agreements), workload-specific requirements (AWS has the deeper ecosystem for heterogeneous environments), and the depth of your migration partner’s expertise on the platform. For SAP specifically, both platforms are certified, but the depth of experience your partner brings to a given platform matters more than the platform itself.

The AI-native cloud capabilities available on both platforms are also increasingly relevant. Organizations planning to build AI and ML capabilities after migration should factor platform AI services into the architecture decision from the start. Juno Labs is the AI innovation engine of Resolve Tech Solutions (RTS), focused on building practical AI platforms and enterprise solutions that help organizations modernize operations, automate complex workflows, and turn operational data into actionable intelligence. For teams that want cloud infrastructure ready for AI workloads from day one, this kind of planning pays for itself.

After the Migration: The Part Most Teams Forget

Migration is not the end state. The cloud environment has to be operated, optimized, and secured on an ongoing basis. This is the question most enterprises do not ask early enough.

Post-migration managed services cover four areas: infrastructure monitoring and incident response, cost optimization (cloud spend grows without active management), security and compliance, and ongoing workload tuning. Organizations that treat migration and operations as separate engagements often find the handoff is the weakest link in the entire program.

Resolve Tech Solutions provides post-migration managed services for the environments it migrates, managing 6,000+ virtual machines across client environments with 24/7 production support. That continuity from migration through operations eliminates the context loss that causes post-migration incidents. For organizations also modernizing their application portfolio alongside the cloud move, digital transformation services that span migration and application modernization reduce overall program complexity and cost.

FAQ

How much do cloud migration services cost for enterprise organizations?

Enterprise cloud migration costs vary based on environment size, complexity, and strategy. Most full-scope programs range from $500,000 to several million dollars, covering assessment, migration, and stabilization. Total cost of ownership modeling during assessment should account for both migration costs and post-migration infrastructure spend.

What is the biggest risk in a cloud migration?

Inadequate discovery. Organizations that underinvest in application dependency mapping and environment assessment enter migration with incomplete information. That produces integration failures, performance issues, and compliance gaps discovered in production. A rigorous pre-migration assessment is the single highest-return investment in any migration program.

How long does it take to migrate to AWS or Azure?

A full enterprise migration typically takes six to eighteen months from kickoff to production go-live. SAP migrations are scoped separately and often take twelve to twenty-four months due to testing requirements and system complexity.

Start Your Migration Assessment

Resolve Tech Solutions runs structured pre-migration assessments for enterprise IT teams moving to AWS or Azure. Contact us to scope your environment and build a migration plan grounded in operational reality.