Cloud Migration & Modernization

Cloud Migration Services

Move applications, databases, infrastructure, and data to AWS, Azure, or Google Cloud with workload assessment, migration planning, secure execution, tested cutovers, modernization, validation, and post-migration optimization.

Cloud Migration Services
Assessment First
Understand workloads, dependencies and risk
Workload-by-Workload
Choose the right migration path for each system
Tested Cutover
Validate before production transition
Post-Migration
Optimize cost, security and reliability
AWS
Migration Target
Applications, databases and infrastructure
Azure
Enterprise Cloud
Microsoft and hybrid workloads
GCP
Data & AI Cloud
Application, data and analytics workloads
6Rs
Migration Framework
Choose the right path per workload

Cloud Migration Is More Than Moving Servers

A successful cloud migration moves more than infrastructure. Applications, databases, files, integrations, identities, scheduled jobs, networking, security controls, monitoring, backups, and operational processes all need to work together after the transition.

Our cloud migration services start with discovery and workload assessment before execution. We map dependencies, understand business criticality, evaluate migration readiness, estimate effort and cost, and recommend whether each workload should be rehosted, replatformed, refactored, rebuilt, retired, or retained.

The goal is not simply to make an old environment run somewhere else. Where modernization creates clear value, we improve architecture during or after the move so the resulting cloud environment is easier to scale, secure, operate, monitor, and optimize.

Migration Scenarios

Who Uses Our Cloud Migration Services

We tailor migration plans to the starting environment, application estate, business priorities, and acceptable operational risk.

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    On-Premises EnterprisesMove servers, applications, databases, storage, and supporting systems from data centers into a managed cloud environment.
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    Growing SaaS CompaniesMove or modernize infrastructure as customer usage grows beyond the limits of the current hosting environment.
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    Cloud-to-Cloud MovesMove selected workloads or entire environments between AWS, Azure, Google Cloud, or other supported platforms.
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    Data Center ExitPlan workload dependencies and migration waves around lease expiry, hardware refresh cycles, or data-center consolidation.
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    Legacy Application OwnersModernize applications that are difficult to maintain while moving them toward cloud-native infrastructure.
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    Cost & Reliability ProgramsMove workloads when the current environment has become too expensive, difficult to scale, difficult to secure, or operationally fragile.

Migration Capabilities

Cloud Migration Services We Offer

Our cloud migration services cover the assessment, planning, execution, validation, and optimization work required to move production workloads safely.

Cloud Migration Assessment

Inventory applications, infrastructure, data, dependencies, performance, security, operational costs, and migration readiness before execution.

Cloud Migration Consulting

Define migration strategy, target architecture, business priorities, risks, timelines, governance, and a practical roadmap.

Application Migration Services

Move web applications, APIs, background workers, scheduled jobs, services, and supporting components to cloud environments.

Database Migration Services

Plan database movement, replication, validation, compatibility, synchronization, cutover, and rollback for critical data stores.

Data & Storage Migration

Migrate files, object storage, documents, media, backups, archives, and large data sets with validation and access controls.

AWS Migration Services

Plan and execute migrations to AWS across compute, databases, storage, networking, containers, security, and managed services.

Azure Migration Services

Migrate applications and enterprise workloads to Azure with networking, identity, databases, hybrid connectivity, and operational controls.

Google Cloud Migration Services

Move application, data, analytics, and AI workloads to Google Cloud with appropriate storage, compute, networking, and managed services.

Cloud-to-Cloud Migration

Move workloads between cloud providers when architecture, cost, capability, acquisition, compliance, or operating-model needs require it.

Hybrid Cloud Migration

Move selected workloads while retaining systems on premises or in private infrastructure where business or technical constraints require a hybrid model.

Cloud Modernization During Migration

Containerize, replatform, refactor, or replace selected components when modernization reduces operational risk or improves business value.

Migration Validation & Optimization

Validate data and application behavior, monitor the new environment, right-size resources, improve security, and optimize cloud costs after cutover.

6Rs Migration Framework

Choose the Right Migration Strategy for Each Workload

A large application portfolio rarely needs one migration strategy. We classify workloads individually so speed, modernization, risk, and business value can be balanced.

Rehost

Move the workload with minimal application changes when continuity and migration speed are the priority.

Replatform

Move to managed cloud services with targeted changes that reduce infrastructure overhead without rebuilding the application.

Refactor / Rearchitect

Change the application architecture to benefit from cloud-native scaling, resilience, managed services, or new delivery patterns.

Repurchase

Replace an existing system with a suitable SaaS or commercial product when rebuilding is not the best business decision.

Retire

Remove redundant or unused workloads instead of spending money and risk migrating systems the business no longer needs.

Retain

Keep workloads where migration is not currently justified because of dependencies, economics, compliance, or business priorities.

Migration Assessment and Dependency Mapping

Before migration, we build an inventory of the applications, servers, databases, storage, network paths, integrations, scheduled jobs, identities, certificates, external services, and operational processes that make each workload function.

Dependency mapping is especially important for business systems that look simple from the server list but depend on shared databases, file systems, queues, APIs, DNS, authentication services, third-party integrations, or batch jobs.

The assessment produces a practical view of migration readiness, business criticality, technical complexity, dependencies, security requirements, downtime tolerance, estimated effort, and the recommended migration path for each workload.

Target Environment

Cloud Landing Zone and Migration Foundation

The destination environment should be ready before production workloads arrive.

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    Account & Subscription StructureCreate an environment structure that separates production, non-production, teams, workloads, and ownership appropriately.
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    Network ArchitectureSet up virtual networks, subnets, routing, private connectivity, gateways, firewalls, and controlled ingress and egress.
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    Identity & AccessEstablish roles, service identities, least-privilege permissions, authentication boundaries, and administrative controls.
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    Security BaselineConfigure secrets, encryption, logging, backup policies, security monitoring, and baseline controls before migration waves.
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    Infrastructure as CodeCreate repeatable infrastructure using version-controlled configuration instead of manual cloud-console setup.
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    Monitoring FoundationPrepare metrics, logs, alerts, health checks, dashboards, and incident visibility before workloads enter production.

Workload Migration

Application Migration

Applications are migrated with their runtime configuration, dependencies, integrations, deployment process, and operational requirements in mind.

Web Applications

Move frontend and server-side applications with appropriate networking, scaling, caching, storage, and deployment configuration.

APIs & Services

Migrate APIs and backend services while preserving authentication, integrations, service dependencies, and performance expectations.

Background Workers

Move queues, workers, scheduled tasks, cron jobs, and asynchronous processing with correct retry and failure behavior.

Containerized Workloads

Move existing containers or containerize suitable applications as part of the migration and modernization strategy.

Legacy Applications

Choose between rehosting, replatforming, incremental modernization, or replacement based on application constraints and business value.

Third-Party Integrations

Validate payment systems, messaging, email, identity, CRM, ERP, analytics, storage, and external API integrations after migration.

Data Integrity

Database and Data Migration

Data migration requires more than copying files. We plan compatibility, synchronization, validation, cutover, access, backup, and rollback.

Relational Databases

Plan migrations for PostgreSQL, MySQL, SQL Server, and other relational workloads with compatibility and cutover considerations.

NoSQL Databases

Move document, key-value, cache, and other NoSQL workloads while considering data models, throughput, indexes, and application dependencies.

Replication & Synchronization

Use replication or change-data approaches where appropriate to keep source and destination systems aligned before cutover.

Data Validation

Compare record counts, schemas, critical queries, application behavior, and representative data before and after migration.

Storage & Files

Move documents, media, object storage, backups, and archives while preserving required access and lifecycle behavior.

Backup & Recovery

Verify backup policies and recovery procedures before retiring or changing the source environment.

Production Transition

Low-Risk Cutover and Rollback Planning

Migration risk is managed through rehearsal, validation, communication, monitoring, and a defined way back when a cutover does not meet acceptance criteria.

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    Test MigrationRun representative migrations before the production wave to identify technical and operational issues.
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    Parallel RunWhere appropriate, operate source and destination environments together while the new environment is validated.
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    Cutover ChecklistDefine technical steps, ownership, dependencies, communication, validation checks, and go/no-go criteria.
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    Rollback PlanKeep a documented recovery path if production validation fails or an unexpected dependency appears.
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    DNS & Traffic TransitionPlan DNS, routing, load balancing, application endpoints, and traffic changes around the cutover window.
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    Post-Cutover MonitoringWatch application health, data integrity, performance, errors, infrastructure capacity, and user-facing workflows after transition.

Secure Migration

Security and Compliance During Migration

Security controls must protect workloads and data during the migration as well as after they arrive in the cloud.

Encryption

Protect data in transit and at rest using appropriate encryption and key-management practices.

Identity Controls

Limit migration and production access through role-based permissions, service identities, and controlled administrative access.

Network Segmentation

Use private connectivity, security groups, firewalls, and segmentation to limit unnecessary exposure.

Secrets Management

Move credentials, API keys, certificates, and sensitive configuration into appropriate managed secret stores.

Audit & Logging

Maintain useful audit trails and operational logs to support investigation, governance, and troubleshooting.

Data Residency

Account for regional, contractual, industry, and internal data-location requirements when selecting cloud services and regions.

Modernize What Should Not Be Lifted and Shifted

Lift-and-shift can be the right answer when the priority is a fast, low-change migration. It is not always the best long-term architecture. Some workloads become more expensive or difficult to operate when moved without addressing their original constraints.

During assessment, we identify workloads where containerization, managed databases, serverless components, asynchronous processing, caching, API boundaries, autoscaling, or other modernization patterns can create meaningful benefits.

Modernization can happen before migration, during the migration wave, or after stabilization. This lets businesses balance immediate continuity with longer-term engineering improvements instead of forcing every workload into a large rewrite.

Migration Economics

Cloud Cost Planning Before and After Migration

A successful migration should consider the future operating cost, not just the cost of moving workloads.

Current-State Cost Baseline

Understand infrastructure, licensing, storage, backup, support, and operational costs before migration.

Target-State Estimation

Estimate cloud compute, storage, database, networking, monitoring, backup, and managed-service costs.

Right-Sizing

Choose appropriate capacity instead of copying oversized source infrastructure directly into cloud resources.

Resource Governance

Use ownership, tagging, budgets, environments, and policies to make cloud spending visible and controllable.

Post-Migration Optimization

Review utilization, scaling, storage tiers, idle resources, data transfer, and architecture after workloads stabilize.

Ongoing FinOps

Establish a repeatable cost-management process as usage, workloads, and business requirements change.

AWS, Azure & Google Cloud

Cloud Migration Platforms We Support

We work across the major cloud platforms and can also design hybrid or cloud-to-cloud migration paths.

AWS Migration

Migrate applications, databases, storage, containers, networking, and supporting services into AWS environments.

Azure Migration

Move enterprise applications, Microsoft workloads, databases, identity, and hybrid systems into Azure.

Google Cloud Migration

Move application, analytics, data, Kubernetes, and AI workloads to Google Cloud with appropriate target services.

Cloud-to-Cloud Migration

Move selected workloads between cloud providers when cost, capability, architecture, acquisition, or operating-model needs change.

Hybrid Cloud

Keep selected systems on premises or in private infrastructure while moving other workloads to public cloud.

Multi-Cloud

Support multiple cloud providers when a clear business, regulatory, resilience, or workload-specific reason exists.

Common Migration Goals

Cloud Migration Use Cases

Different businesses start migrations for different reasons. The target architecture should support the reason for moving.

Data Center Exit

Move workloads out of owned or leased data centers before hardware refreshes, lease expiry, or consolidation.

Application Scalability

Move applications to infrastructure that can scale capacity more flexibly with traffic and customer growth.

Legacy Modernization

Use migration as an opportunity to improve application architecture, deployment, observability, and managed services.

Cloud Cost Reset

Move or restructure workloads when the current environment has become expensive or difficult to optimize.

Acquisition Integration

Consolidate infrastructure and workloads after mergers, acquisitions, or organizational changes.

Business Continuity

Move workloads or add cloud recovery environments to improve resilience and recovery options.

AI & Data Readiness

Move data and application workloads toward cloud platforms that provide the required analytics, processing, and AI capabilities.

Platform Consolidation

Reduce fragmented infrastructure by consolidating workloads into a governed cloud operating model.

Industry Workloads

Cloud Migration Across Industries

Migration plans must account for workload criticality, data sensitivity, integrations, and operating requirements.

SaaS & Technology

Migrate customer-facing platforms, APIs, databases, queues, and development environments while maintaining release velocity.

Manufacturing

Move ERP-connected systems, operational applications, analytics, and integration workloads while accounting for plant dependencies.

Retail & E-commerce

Migrate commerce applications, catalogs, customer data, APIs, and analytics with careful attention to availability and peak traffic.

Logistics

Move tracking, fleet, routing, warehouse, and real-time integration workloads with appropriate resilience and data flows.

Healthcare

Plan secure migration for applications and data where availability, access control, auditability, and data location matter.

Financial Services

Address security, auditability, resilience, data controls, and carefully governed migration waves for financial workloads.

Professional Services

Move portals, business applications, reporting, collaboration systems, and integrations to scalable cloud environments.

Education

Migrate learning platforms, portals, content systems, analytics, and supporting applications with scalable infrastructure.

Our Cloud Migration Process

A structured migration process reduces surprises by separating discovery, planning, execution, validation, and optimization.

01

Discovery & Inventory

Identify applications, servers, databases, storage, integrations, identities, scheduled jobs, users, and operational dependencies.

02

Dependency Mapping

Map application, database, network, identity, third-party, and data dependencies that influence migration order.

03

Readiness Assessment

Evaluate technical complexity, security, performance, availability, data sensitivity, downtime tolerance, and migration readiness.

04

Migration Strategy

Classify workloads using the appropriate 6R path and define the target architecture and business rationale.

05

Wave Planning

Group workloads into migration waves based on dependencies, criticality, complexity, testing needs, and business priorities.

06

Cloud Foundation

Prepare networking, identity, security, infrastructure as code, monitoring, backup, environments, and operational controls.

07

Pilot Migration

Migrate representative workloads to validate tooling, patterns, assumptions, performance, and operational procedures.

08

Data & Application Migration

Move applications, databases, files, services, integrations, and configurations while maintaining required synchronization.

09

Testing & Rehearsal

Validate functionality, data integrity, security, performance, monitoring, recovery, and the production cutover procedure.

10

Production Cutover

Execute the approved transition with go/no-go checks, communication, monitoring, and rollback readiness.

11

Stabilization

Monitor the new environment, resolve migration issues, validate business workflows, and confirm operational ownership.

12

Optimization & Modernization

Right-size resources, improve security, optimize cost, strengthen observability, and create the next modernization backlog.

Cloud Migration Technology Stack

Technology choices depend on the source environment, target cloud, workload type, data volume, and migration strategy.

AWS
Microsoft Azure
Google Cloud
Terraform
Docker
Kubernetes
Linux
CI/CD
Monitoring
Logging & Tracing
Infrastructure as Code

Flexible Delivery

Cloud Migration Engagement Models

Choose the engagement that matches the size of your migration and the capabilities of your internal team.

Migration Assessment

A focused discovery and readiness engagement that produces workload inventory, dependency mapping, migration recommendations, and a practical roadmap.

Migration Project

A defined migration engagement covering foundation, workload movement, testing, cutover, stabilization, and optimization.

Migration Engineering Team

Add cloud, application, database, DevOps, and infrastructure engineering capacity to your internal migration program.

Migration & Managed Cloud

Continue with monitoring, security, cost optimization, maintenance, and modernization after workloads move to the cloud.

When Cloud Migration Makes Business Sense

Cloud migration often becomes a priority when infrastructure limits growth, data centers are approaching renewal, legacy systems are becoming difficult to support, operating costs are rising, or the business needs stronger scalability and resilience.

Migration should not be driven by the assumption that every workload belongs in the cloud. Some systems may be better retained temporarily, retired, replaced, or modernized before they move. The right plan is based on business value, workload economics, technical dependencies, security, compliance, and operational capability.

A well-planned migration creates a foundation for future improvements rather than simply recreating the old environment in a new location.

Why Axora Infotech

Why Businesses Choose Axora for Cloud Migration

We combine application engineering, cloud infrastructure, data engineering, APIs, DevOps, and security thinking so migration decisions account for the whole system.

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    Workload-by-Workload PlanningWe avoid forcing a single migration pattern across an entire application estate.
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    Application-Aware MigrationApplications, databases, APIs, queues, integrations, and business workflows are considered together.
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    Validation Before CutoverTest migrations, data validation, rehearsals, acceptance checks, monitoring, and rollback planning reduce production risk.
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    Modernization Where It MattersWe identify workloads where replatforming or refactoring creates meaningful operational or business value.
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    Security & ReliabilityIdentity, networking, secrets, backups, monitoring, recovery, and governance are part of the migration foundation.
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    Post-Migration OptimizationWe continue beyond cutover with cost tuning, right-sizing, observability, security improvements, and modernization.

Migration Is the Start of the Cloud Operating Model

A migration is successful when the business can operate the new environment confidently—not simply when the workloads have been copied to cloud infrastructure.

That means teams need clear ownership, repeatable deployments, monitoring, alerts, backups, recovery procedures, security controls, cost visibility, documentation, and a roadmap for workloads that still need modernization.

Our approach connects migration with the cloud operating model that follows it, so the destination environment is prepared for ongoing product development rather than becoming another legacy platform.

Related Services

Services to Support Your Cloud Migration

Frequently Asked Questions

Our cloud migration services can include discovery, workload inventory, dependency mapping, migration strategy, target architecture, cloud foundation, application migration, database and data migration, testing, cutover, rollback planning, stabilization, cost optimization, security, and post-migration modernization.
We support migrations to AWS, Microsoft Azure, and Google Cloud, as well as hybrid and cloud-to-cloud migration scenarios where the architecture and business requirements justify them.
Yes. Database migration can include compatibility assessment, replication or synchronization, data validation, backup verification, cutover planning, and post-migration performance and reliability checks.
We reduce migration risk through dependency mapping, staged environments, test migrations, data synchronization where appropriate, rehearsed cutovers, validation checklists, planned traffic changes, monitoring, and rollback procedures.
It depends on the workload. Rehosting can be appropriate when speed and continuity are the priority, replatforming can reduce operational overhead, and refactoring can make sense when the existing architecture limits scale, reliability, or delivery. Different workloads can use different strategies.
Yes. We can plan cloud-to-cloud migrations between supported platforms when cost, architecture, capability, acquisition, compliance, or operating-model requirements make a move worthwhile.
Yes. We assess each application and can use rehost, replatform, incremental modernization, or selective refactoring rather than assuming a full rewrite is required.
Yes. We can establish a current-state baseline and estimate target cloud costs across compute, storage, databases, networking, backups, monitoring, and managed services, then refine the estimate as workload details become available.
Post-migration work typically includes stabilization, monitoring, security review, cost optimization, right-sizing, backup and recovery validation, documentation, operational handoff, and a roadmap for further modernization.
The timeline depends on the number and complexity of workloads, dependencies, data volume, downtime tolerance, security requirements, modernization scope, and validation needs. Larger estates are usually migrated in multiple waves.

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