---
title: "Cloud Migration & Infrastructure Solutions | Agility.AI"
url: https://agilitytech.ai/solutions/cloud-migration
description: "Move legacy on-premises data infrastructure to modern cloud platforms with zero data loss, maintained business continuity, and measurable cost reduction."
publisher: Agility (agilitytech.ai)
---

Cloud Migration & Infrastructure

# Cloud Migration & Infrastructure Solutions

Agility migrates enterprise data infrastructure and legacy applications to AWS, Azure, and Google Cloud with zero data loss and no unplanned downtime.

[Schedule your cloud assessment](https://agilitytech.ai/contact)

Data loss on production migrationsZero

Assessment before anything moves1 to 2 wks

Focused database and ETL migration8 to 12 wks

Infrastructure saving, FMCG migration40%

The short answer

## Which systems and workloads does Agility migrate to cloud?

Agility migrates six categories of workload: relational databases (Oracle, SQL Server, MySQL) to managed cloud equivalents; legacy monolithic applications to containerised microservices on Kubernetes; on-premises data warehouses to Snowflake, Redshift, or BigQuery; file and object storage to S3 or Azure Blob; ETL pipelines to cloud-native orchestration (Airflow, Glue, Data Factory); and virtualised server fleets to auto-scaling cloud infrastructure. Every migration follows an assess, plan, migrate, optimise sequence. Assessment takes 1 to 2 weeks and produces a full inventory, dependency map, and risk register before a single workload moves.

Need to move the other way? [Cloud-to-On-Premises Migration](https://agilitytech.ai/cloud-to-on-premise-migration) repatriates apps, data, and workloads from public cloud back to on-prem and private infrastructure.

Services

## What we migrate and build

### Database Migration

- On-Premises to Azure SQL Managed Instance: Full T-SQL compatibility migration with schema validation and parallel testing
- Legacy SQL Server to Cloud: Assessment, field mapping correction, data type alignment, and cutover management
- ETL Pipeline Migration: SSIS to Azure Data Factory with automated orchestration and self-hosted integration runtimes
- Analytics Migration: SSAS cubes to direct table extracts eliminating cube overhead in cloud environments

### Cloud Infrastructure & IaC

- Terraform Infrastructure as Code: Version-controlled, repeatable infrastructure deployment across AWS and Azure
- CI/CD Pipeline Setup: GitLab and GitHub Actions pipelines for automated, auditable infrastructure deployments
- Multi-Cloud Architecture: AWS and Azure configurations optimised for workload-specific placement and cost efficiency
- Container Orchestration: Docker and Kubernetes configuration for scalable, portable production deployments

### Data Platform Modernisation

- Azure Data Lake Storage: Scalable raw and staging data tiers replacing on-premises file and database storage
- AWS Data Platform: Lambda, Glue, Athena, EventBridge, and CloudWatch deployed as a unified monitored platform
- Cloud Data Warehouse: Snowflake, Redshift, and BigQuery implementations replacing legacy analytical infrastructure
- Real-Time Data Integration: Event-driven architectures using Azure Service Bus, AWS EventBridge, and Apache Kafka

### Security, Governance & Automation

- Identity & Access Management: Azure AD, Key Vault, private endpoints, and role-based access controls
- Row-Level Security: Multi-tenant data access controls in Tableau and Power BI for complex security requirements
- Automated Report Delivery: Power Automate and Azure Logic Apps replacing legacy SSRS subscription workflows
- Compliance & Audit Logging: Full audit trail implementation for data access, pipeline execution, and infrastructure changes

Technology

## Which cloud platforms and tools does Agility use?

### Cloud Platforms

- Microsoft Azure
- Amazon Web Services
- Google Cloud Platform

### Data Integration

- Azure Data Factory
- AWS Glue
- Apache Airflow

### Infrastructure

- Terraform
- Docker
- Kubernetes

### Storage & Compute

- Azure SQL Managed Instance
- Azure Data Lake Storage
- Amazon Redshift

Industries

## Which industries use Agility cloud migration services?

### FMCG & Manufacturing

- Full on-premises to Azure migrations
- ETL and reporting infrastructure modernisation
- Multi-tenant security and access management

### Healthcare

- HIPAA-compliant cloud architecture
- EMR system data integration pipelines
- Clinical data warehouse implementation

### Technology & Consulting

- Multi-service AWS platform automation
- Terraform IaC for enterprise service portfolios
- Long-term infrastructure managed delivery

### Elevator & Field Services

- Legacy CHAMP database to Azure SQL migration
- Schema validation and referential integrity management
- Field service data modernisation

Results

## What results have Agility cloud migration projects delivered?

[See all case studies](https://agilitytech.ai/case-studies)

### FMCG Enterprise: Full Azure Migration

FMCG

- 200+ stored procedures migrated with 98%+ success rate
- 1,000+ SSRS reports converted to Power BI Paginated Reports
- 40% infrastructure cost reduction, 99.9% uptime, zero data loss
- Delivered in 20 weeks

[Read the FMCG Azure migration case study](https://agilitytech.ai/case-studies/fmcg-migration)

### Enterprise Technology: AWS & Azure Cloud Platform

Technology & Consulting

- Legacy database migrated to Azure SQL with zero data loss
- 15+ enterprise services automated on unified AWS platform
- Full Terraform IaC deployed across all services
- 17+ month sustained engagement

[Read the cloud platform case study](https://agilitytech.ai/case-studies/cloud-platform-migration)

How we work

## How does Agility run a cloud migration project?

- 01 ### Infrastructure Discovery & Assessment Full inventory of on-premises components, dependencies, and migration risk mapping
- 02 ### Migration Architecture Design Cloud platform selection, schema mapping, security design, and phased cutover planning
- 03 ### Environment Setup & Parallel Build Cloud environment provisioned and tested in parallel with live on-premises systems
- 04 ### Phased Migration Execution Batch-by-batch migration with validation gates and rollback capability at every stage
- 05 ### Security & Governance Implementation IAM, Key Vault, private endpoints, audit logging, and RLS configuration
- 06 ### Cutover, Validation & Hypercare Production cutover with hypercare support period, performance monitoring, and optimisation

Why Agility

## Why do enterprises choose Agility for cloud migration?

### Zero Data Loss Track Record

Every production migration we have delivered has been completed without data loss through phased validation, parallel testing, and transaction management.

### Full Stack Migration Capability

We handle the complete migration stack (database, ETL, analytics, reporting, security, and delivery automation) without splitting the engagement across multiple vendors.

### IaC-First Approach

We build infrastructure as code from day one, meaning every environment is reproducible, version-controlled, and auditable, not a collection of manually provisioned resources.

### Business Continuity Focus

Our migrations are designed around zero disruption. Parallel environments, phased cutovers, and rollback plans are built into every engagement before a single object is moved.

FAQ

## Cloud migration: common questions

Everything you need to know about our cloud migration process.

[Ask us something else](https://agilitytech.ai/contact)

**How do you ensure zero data loss during migration?+**

Through phased batch migration with schema validation gates before each batch commits, parallel run validation comparing cloud output to on-premises source, and transaction management with automatic rollback on any failure.

**How long does a full cloud migration take?+**

Scope-dependent. A focused database and ETL migration runs 8 to 12 weeks. A full enterprise migration including reporting infrastructure runs 16 to 20 weeks. We provide a fixed-scope assessment before committing to any timeline.

**Can you migrate our legacy SSIS packages to Azure Data Factory?+**

Yes. SSIS to ADF migration is a core competency. We handle complex transformations, parameterisation, and self-hosted integration runtime setup for on-premises source connectivity.

**Do you continue to support the platform post-migration?+**

Yes. Post-migration support and ongoing managed delivery are available. Several clients engage us for 12+ month periods following initial migration for optimisation and platform expansion.

## Ready to move to the cloud?

Schedule a cloud assessment with our migration specialists to build a phased, low-risk roadmap for your infrastructure modernisation.

[Schedule your cloud assessment](https://agilitytech.ai/contact)
