AWS Migration Services: Tools, Programs, and Support Options

AWS offers a structured portfolio of tools, programs, and support channels specifically designed to move workloads, data, and applications from on-premises environments or competing cloud platforms into Amazon Web Services infrastructure. Understanding how these offerings are classified — and where their boundaries lie — helps organizations match the right mechanism to each migration scenario, avoid costly tool mismatches, and align execution with established cloud migration strategy frameworks.

Definition and scope

AWS migration services span three distinct layers: native tooling embedded in the AWS platform, formal support programs that provide financial and technical assistance, and third-party integrations validated through the AWS Partner Network (APN). The term "migration service" in the AWS context refers to any managed, automated, or assisted capability that moves compute instances, databases, storage volumes, or application code from a source environment into an AWS target environment.

The AWS portfolio is documented publicly through the AWS Migration Hub console, which serves as the centralized tracking plane across all discrete tools. Migration Hub does not perform migrations itself — it aggregates discovery data and progress reporting from connected services. The National Institute of Standards and Technology (NIST) defines cloud migration within NIST SP 500-292 as the process of moving data, applications, or other business elements to a cloud computing environment, a definition that maps directly to what AWS codifies as its Migration and Transfer service category.

Scope boundaries matter here. AWS migration tooling does not cover post-migration cost governance (addressed separately through AWS Cost Explorer and AWS Budgets), nor does it encompass cloud migration compliance with US regulations such as HIPAA or FedRAMP, which require overlay controls beyond what migration tools enforce.

How it works

AWS migration follows a phased operational model that aligns with the six-stage framework AWS publishes as the "6 Rs" of migration (Rehost, Replatform, Repurchase, Refactor, Retire, Retain). Each stage corresponds to specific tooling:

  1. Discover — AWS Application Discovery Service scans on-premises environments, collecting server configuration, performance, and dependency data. It supports both agentless discovery (via VMware vCenter) and agent-based discovery for physical servers.
  2. Assess — AWS Migration Evaluator (formerly TSO Logic) produces a business case with modeled costs. It ingests discovered inventory data and generates a directed migration assessment report.
  3. Plan — Migration Hub aggregates data from Application Discovery Service and third-party tools, allowing teams to group servers into migration waves aligned with cloud migration wave planning methodology.
  4. Execute — The primary execution tools vary by workload type:
  5. AWS Application Migration Service (MGN) handles lift-and-shift server migrations using continuous block-level replication, minimizing cutover windows.
  6. AWS Database Migration Service (DMS) moves relational, NoSQL, and data warehouse workloads, supporting homogeneous and heterogeneous migrations; AWS Schema Conversion Tool (SCT) handles schema translation for heterogeneous paths.
  7. AWS DataSync transfers file-based data from NAS devices, on-premises file servers, or other cloud storage into Amazon S3, EFS, or FSx targets at speeds up to 10 Gbps per task.
  8. AWS Snow Family (Snowcone, Snowball Edge, Snowmobile) handles physical data transport for environments where network bandwidth makes online transfer impractical; Snowmobile supports transfer of up to 100 petabytes per unit.
  9. Validate — Post-migration validation relies on CloudWatch metrics, AWS Trusted Advisor checks, and application-specific testing frameworks covered under cloud migration testing strategies.
  10. Operate — Steady-state management transitions to AWS Systems Manager, AWS Config, and cost management tooling.

Common scenarios

Three migration patterns account for the majority of AWS-bound migrations:

Rehost (lift-and-shift) is handled primarily by AWS Application Migration Service. An agent installed on the source server replicates block storage continuously to a staging area in the target AWS Region. At cutover, a test instance can be launched before the production cutover window, a capability relevant to cloud migration downtime minimization planning. MGN supports source environments running on VMware, Hyper-V, and bare-metal physical servers.

Database migration using AWS DMS supports over 20 source and target database engine combinations (AWS DMS documentation). Homogeneous paths (Oracle to Oracle, MySQL to Aurora MySQL) bypass SCT entirely. Heterogeneous paths — such as Oracle to Aurora PostgreSQL — require schema conversion before data movement begins, a distinction that directly shapes project timeline and cloud migration cost estimation.

Large-scale data transfer using Snow Family devices applies when the source data volume divided by available upload bandwidth exceeds a practical transfer window. AWS publishes a simple threshold: if transferring data over existing internet connections would take more than one week, physical transfer via Snowball Edge is typically faster and more cost-effective.

Decision boundaries

Choosing between AWS-native tools and AWS Partner Network solutions depends on four factors: source environment complexity, acceptable downtime window, licensing implications, and internal team capability.

AWS Application Migration Service is appropriate when the source environment runs supported operating systems (Windows Server 2003 and later, major Linux distributions) and the migration pattern is rehost without architectural change. When the target pattern is replatforming versus refactoring, MGN alone is insufficient — application-layer changes require additional tooling or partner engagement.

AWS DMS handles continuous replication during migration with near-zero downtime for ongoing transactions, but it does not replicate secondary objects such as stored procedures, triggers, or sequences in heterogeneous migrations. Those require manual remediation or SCT-assisted conversion before cutover.

For organizations requiring formal support beyond tooling access, AWS offers the Migration Acceleration Program (MAP), a structured program that provides funding credits, prescriptive guidance, and partner engagement for qualifying enterprise migrations. MAP eligibility and funding levels are assessed through AWS or an APN partner — program terms are published at aws.amazon.com/migration-acceleration-program.

Organizations comparing AWS tooling against Azure Migrate or Google Cloud's migration suite should review the Azure migration services overview and Google Cloud migration services overview for direct feature-level comparisons before committing to a platform-specific toolchain.

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