Cloud migration services help businesses move their applications, data, and infrastructure from on-premise environments to the cloud. The right strategy depends on your existing architecture, budget, and business goals. In this guide, you will learn the main cloud migration strategies, the step-by-step migration process, common pitfalls, and what to look for in a cloud migration services provider.
Moving to the cloud is no longer a question of whether but when. On-premise infrastructure ages, maintenance costs compound, and the agility gap between businesses running cloud-native operations and those still managing their own hardware grows wider every year.
The challenge is execution. A poorly planned migration produces downtime, cost overruns, and security gaps that take months to resolve. The right cloud migration services provider and the right strategy make the difference between a migration that delivers on its promise and one that creates a new set of problems.
What Is Cloud Migration?
Definition and Scope
Cloud migration is the process of moving an organisation’s digital assets, including applications, data, databases, and infrastructure, from on-premise data centres to cloud-hosted environments. Some businesses migrate a single application. Others move their entire IT estate across compute, storage, networking, and SaaS platforms in a phased multi-year programme.
What is cloud migration in practice? It is a structured transition that covers workload assessment, target architecture design, data transfer, integration testing, security configuration, and post-go-live optimisation. For a detailed breakdown of what the end-to-end process involves,cloud migration explained covers the full scope from discovery through to post-migration operations.
On-Premise vs Cloud Environments
On-premise infrastructure requires capital investment in hardware, dedicated data centre space, and in-house teams to manage servers, networking, and storage. Capacity planning has to anticipate peak demand, which means most environments run over-provisioned and underutilised for the majority of the year.
Cloud environments replace that fixed-cost model with pay-as-you-go compute and storage that scales in minutes. The details behind on-premise vs cloud infrastructure show that the operational and cost differences extend well beyond the headline price comparison.
Why Businesses Are Migrating to the Cloud
Cost Reduction and OpEx vs CapEx
On-premise infrastructure is a capital expense. Servers, networking equipment, data centre leases, and maintenance contracts require large upfront commitments that depreciate over fixed cycles regardless of whether the capacity is fully used.
The result is a cost model that scales with the business rather than ahead of it. Organisations no longer need to purchase hardware sized for three-year peak projections. Understanding the full cloud migration cost picture, including migration fees, ongoing running costs, and optimisation savings, is an essential step before committing to a programme.
Scalability and Business Agility
Cloud infrastructure allows businesses to scale compute and storage resources up or down in minutes in response to actual demand. An e-commerce platform can handle ten times its normal traffic during a promotional event and scale back automatically when the event ends, paying only for the capacity used during the peak period.
This elasticity also accelerates product development cycles. The selection criteria for cloud deployment that matter most for agility-focused organisations are quite different from those that prioritise cost reduction, and the choice of deployment model should reflect that distinction.
Security, Compliance, and Disaster Recovery
Enterprise cloud platforms from AWS, Azure, and GCP invest in security infrastructure and compliance certification at a scale that most individual organisations cannot replicate internally. Major providers maintain certifications for dozens of regulatory frameworks including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and FedRAMP.
Disaster recovery in cloud environments is built into the architecture rather than requiring a separate secondary data centre. Understanding cloud computing security architecture before migration ensures that security benefits are realised from day one rather than retrofitted after go-live.
Types of Cloud Migration Strategies (Lift-and-Shift vs Replatform vs Refactor)
Cloud migration consultants apply different strategies to different workloads based on architecture, strategic importance, timeline, and budget. Understanding the full range of options prevents the common mistake of applying a single approach to an entire estate.
The table below maps all six strategies across the dimensions that determine which applies to each workload in your environment.
| Strategy | Also Called | Code Changes | Cloud Benefit | Best For |
| Rehost | Lift and shift | None | Basic | Quick exits, legacy apps with no refactor budget |
| Replatform | Lift, tinker, and shift | Minimal | Moderate | Apps that benefit from managed services with low effort |
| Refactor | Re-architect | Significant | Full | Strategic apps where cloud-native ROI justifies investment |
| Repurchase | Drop and shop | None | Full (SaaS) | Outdated systems with a viable SaaS replacement |
| Retire | Decommission | None | N/A | Redundant systems with no business justification to maintain |
| Retain | Keep on-premise | None | N/A | Workloads with compliance constraints or recent CapEx investment |
Rehost: Lift and Shift
Rehosting moves workloads to the cloud with no changes to application code or architecture. The virtual machine, operating system, and application stack are replicated in the cloud as closely as possible to their on-premise configuration.
The trade-off is that a rehosted application does not benefit from cloud-native services and typically costs more to run than an equivalent cloud-native workload. Most rehosted applications are candidates for further optimisation after the initial migration, which is why a clear cloud migration strategy document should capture post-migration optimisation plans alongside the go-live approach.
Replatform
Replatforming makes targeted optimisations during migration without changing the core application architecture. Common moves include replacing a self-managed database server with a managed service such as Amazon RDS or Azure SQL Database, or moving the application runtime to a managed container service. Each change reduces operational overhead without requiring application code changes.
Refactor and Re-architect
Refactoring redesigns the application to take full advantage of cloud-native capabilities. A monolithic application is broken into microservices. The data layer is redesigned to use purpose-built cloud databases. The application is made stateless so it can scale horizontally. This strategy delivers the highest cloud benefit but requires the most engineering investment and the longest migration timeline.
Organisations pursuing refactoring often combine it with application modernisation to address legacy architecture issues at the same time rather than scheduling a separate programme later.
Retire, Retain, and Repurchase
Not every workload should be migrated. Retiring applications that are redundant or no longer fit for purpose eliminates maintenance overhead and reduces migration complexity. Retaining workloads that have compliance constraints or very recent capital investment avoids unnecessary disruption. Repurchasing replaces on-premise applications with SaaS alternatives, which is particularly effective for CRM, HR, and finance systems where mature SaaS products have made custom-built on-premise alternatives unnecessary.
Step-by-Step Cloud Migration Process
| Discovery and Assessment | Inventory workloads, map dependencies, assess compliance requirements, evaluate cloud readiness | Cloud readiness report; prioritised workload list; risk register | 2 to 4 weeks |
| Strategy Selection | Choose migration approach per workload; design target cloud architecture; model costs | Migration roadmap; target architecture; cost estimate | 2 to 3 weeks |
| Planning and Prioritisation | Sequence workload migration waves; define rollback plans; assign ownership | Wave plan; resource schedule; rollback runbooks | 1 to 2 weeks |
| Execution and Cutover | Migrate workloads in waves; run parallel operations; validate each wave before proceeding | Workloads running in cloud; per-wave validation reports | 4 to 20 weeks |
| Optimisation and Tuning | Right-size resources; review reserved instance coverage; tune performance; govern cost | Optimised environment; ongoing managed service in place | Ongoing |
Discovery and Assessment
The discovery and assessment phase inventories every workload in the existing environment, maps application dependencies, evaluates cloud readiness, and identifies compliance and security requirements.
This phase earns its value most clearly when it surfaces hidden dependencies and compliance requirements that would otherwise cause delays during execution. A detailed cloud migration timeline guide covers how much time to budget for each phase based on environment size and complexity.
Migration Strategy Selection
Using the assessment findings, the migration strategy selection phase assigns one of the six Rs to each workload and designs the target cloud architecture. Cost modelling at this stage prevents the budget surprises that derail migrations when cloud running costs are not estimated until after go-live.
Planning and Workload Prioritisation
Migration planning sequences workloads into waves based on dependency relationships, business criticality, and risk profile. Low-dependency, low-criticality workloads migrate first to validate the process and build team confidence. High-criticality production systems migrate in later waves after the process has been proven against lower-stakes workloads.
Execution and Cutover
Execution migrates workloads in the planned waves, running parallel operations between on-premise and cloud during the validation period before each cutover.
The cutover phase is the highest-risk point in the process. Having a live monitoring dashboard active from the moment production traffic switches over, a clear escalation path, and pre-tested rollback procedures in place are non-negotiable.Cloud automation tooling that handles provisioning and configuration programmatically significantly reduces the manual error risk that makes cutovers go wrong.
Optimisation and Post-Migration Tuning
The cloud environment that exists immediately after go-live is rarely the most efficient version of that environment. Post-migration optimisation right-sizes compute resources based on actual utilisation data, reviews reserved instance coverage, tunes database performance, and establishes ongoing cost governance.
Organisations running container workloads should specifically address Kubernetes cost optimisation during this phase, as container resource allocation is one of the most frequently overlooked sources of cloud cost inefficiency in the months following migration.
Common Challenges and How to Overcome Them
Downtime and Service Disruption
Downtime during migration is the most visible risk and the one that gets most attention in planning. Blue-green deployment strategies, phased cutovers, and parallel operation windows are the primary techniques for minimising it.
The most common cause of unplanned downtime during migration is not technical failure but inadequate dependency mapping. Applications that appear independent often have undocumented connections that only surface when one side of the connection is migrated and the other is not.
Data Security During Migration
Data in transit during migration is at risk from interception if transferred over unsecured channels. All data transfer should be encrypted in transit using TLS, access to the migration tooling should be restricted to authorised team members, and compliance checkpoints should verify that data residency requirements are maintained throughout the transfer process.
Cost Overruns
Cloud cost overruns after migration are almost always caused by poor planning rather than unexpected events.
Detailed cloud migration cost modelling before the migration begins, combined with a cost governance framework that reviews spend against targets on a monthly basis, prevents the majority of cost overrun situations.
Skills Gaps in Internal Teams
Most internal IT teams have deep on-premise expertise and limited cloud migration experience. The skills required for a well-executed migration, cloud architecture design, security configuration, data pipeline engineering, and DevOps tooling, are rarely all present in a single internal team.
For organisations evaluating how to staff the migration effort, a comparison of staff augmentation vs outsourcing models is useful context before deciding on the engagement structure.
How to Choose a Cloud Migration Services Provider
Certifications and Cloud Partnerships
AWS Partner status, Microsoft Azure Expert MSP designation, and Google Cloud Partner certification indicate that the cloud migration company has met the cloud provider’s standards for technical competence and delivery quality. They are meaningful indicators of platform expertise that self-described capability claims cannot replicate.
Ask for specific certification tier details and verify that the certifications are current.
Migration Methodology and Tooling
A credible cloud migration provider has a documented migration methodology with defined phases, milestones, deliverables, and success criteria for each stage. Ask to see the methodology documentation before engaging.
Tooling matters alongside methodology. Providers with established toolsets for dependency mapping, workload assessment, and automated migration execution reduce manual effort and human error risk.
Post-Migration Support and Managed Services
Migration is not the end of the engagement. The first 90 days after go-live are typically the most intensive optimisation period, and the environment continues to evolve as the business grows. Ask specifically what the provider offers after cutover: ongoing managed services, cost governance, security monitoring, performance tuning, and on-call support.
For organisations that want continuity between migration and ongoing operations,cloud and DevOps managed services from the same partner remove the handoff risk that creates gaps in responsibility.
Why American Chase Is a Trusted Cloud Migration Partner
Our Cloud Migration Methodology
American Chase delivers cloud migration engagements across AWS, Microsoft Azure, and Google Cloud following a structured methodology that begins with a thorough readiness assessment and dependency mapping exercise before any migration decisions are made. Target architecture design is validated against both technical requirements and cost models before the environment build begins.
Every engagement produces a phased migration roadmap, a security baseline aligned to the client’s regulatory environment, and a cost model that establishes expected running costs before a single workload moves. For businesses beginning this process, a structured cloud migration consulting engagement provides the architecture and roadmap as a standalone output before committing to full execution.
Technologies and Platforms We Work With
American Chase works across all three major cloud platforms and supports hybrid and multi-cloud architectures for organisations that cannot or do not want to consolidate to a single provider. The firm’scloud and DevOps practice covers the full migration lifecycle from initial assessment through to post-migration managed services.
For organisations migrating SAP environments alongside other workloads, American Chase brings dedicated SAP expertise that addresses the ERP-specific complexity most infrastructure-only migration firms are not equipped to handle. Similarly, organisations adopting generative AI services as part of their cloud transition benefit from the firm’s AI engineering capability being in the same team as the cloud migration engineers.
Client Outcomes and Migration Results
Client outcomes from American Chase cloud migration engagements consistently reflect delivery on timeline and within scope, cloud running costs that match or beat pre-migration estimates, and a stable production environment in the weeks following go-live rather than a stabilisation period measured in months.
For organisations evaluating American Chase as a cloud migration services partner, the combination of platform certification, structured methodology, and enterprise application expertise makes it one of the stronger options in the US and India markets. To learn more, visit americanchase.com.
FAQs About Cloud Migration
What are cloud migration services?
Cloud migration services are professional services that help businesses plan, execute, and optimise the movement of applications, data, and infrastructure from on-premise environments to cloud platforms. Services include readiness assessment, migration strategy, architecture design, execution support, security configuration, and post-migration managed services.
How long does a cloud migration take?
A small migration covering fewer than 20 workloads typically takes 8 to 16 weeks from assessment to go-live. A mid-market migration takes 4 to 8 months. Large enterprise programmes can take 12 to 24 months. Timeline is driven primarily by workload count, dependency complexity, and the chosen cloud migration strategy for each application.
What is the most common cloud migration strategy?
Rehosting, or lift-and-shift, is the most commonly used strategy because it is the fastest and requires no application code changes. However, replatforming is increasingly popular for mid-market workloads where minor changes to use managed services deliver meaningful cost and operational benefits without the investment of a full refactoring programme.
How much do cloud migration services cost?
Small migrations typically cost between $20,000 and $80,000. Mid-market migrations range from $80,000 to $300,000. Large enterprise programmes can exceed $500,000 depending on scope and complexity. See a full breakdown of cloud migration cost factors before engaging any provider. Ongoing managed services are typically billed as a monthly retainer after go-live.
What are the biggest risks of cloud migration?
The main risks are extended downtime during cutover, data loss or corruption during transfer, security misconfigurations in the target environment, unexpected cost increases from unplanned provisioning, and application performance issues caused by architectural differences. All are preventable with proper planning and a structured cloud migration checklist applied before execution begins.
What is the difference between cloud migration and cloud transformation?
Cloud migration moves existing workloads to cloud infrastructure, often preserving their current architecture. Cloud transformation redesigns those workloads to be cloud-native, taking full advantage of managed services, auto-scaling, and serverless capabilities. Migration is the starting point. Transformation is the longer-term programme that follows, typically aligned with application modernisation and data platform investment.
Do I need to hire a cloud migration company or can I do it myself?
Most internal IT teams have the capability to execute small, well-defined migrations. Complex migrations involving ERP systems, regulated data, or large numbers of interdependent applications consistently produce better outcomes with a specialist partner. The cost of a cloud migration company engagement is typically recovered through faster delivery, avoided downtime costs, and post-migration cost optimisation.
What happens to my data during cloud migration?
Data is transferred from on-premise storage to cloud services using encrypted transfer channels. Migration pipelines capture source data, validate completeness and integrity at the destination, and maintain consistency during the cutover window. Post-transfer validation confirms that no data was lost or corrupted.Cloud database management requirements specific to your data types should be addressed in the migration architecture before transfer begins.
How do I know if my business is ready for cloud migration?
Cloud migration readiness depends on four factors: a current workload inventory, an understanding of your compliance and data residency requirements, cloud architecture expertise whether internal or external, and executive sponsorship for the programme. If any are missing, a cloud migration consulting engagement is the right first step before committing to full execution.
What is a lift-and-shift migration and when should I use it?
A lift-and-shift migration moves workloads to the cloud with no changes to application code or architecture. Use it when speed matters more than optimisation, when a data centre exit deadline is fixed, or when the application is stable and not a refactor candidate. It is a valid starting point, with further optimisation planned for the post-migration phase.
