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 8–12 weeks. A full enterprise migration including reporting infrastructure runs 16–20 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.

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. Across 80+ cloud migration projects, average infrastructure cost drops 40-60% post-migration and deployment frequency increases 3-5x. Typical project completes in 8-16 weeks depending on data volume and application complexity.

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Zero

Data Loss

Across every production migration we have delivered

40%

Cost Reduction

Average infrastructure cost saving post-migration

99.9%

Uptime

Post-cutover across all migrated production environments

25%

Faster Processing

Average ETL and pipeline performance improvement post-migration

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 a assess-plan-migrate-optimise sequence. Assessment takes 1-2 weeks and produces a full inventory, dependency map, and risk register before a single workload moves. Average downtime during cutover: under 2 hours for database migrations, zero for application migrations using blue-green deployment.

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

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

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

What Results Have Agility Cloud Migration Projects Delivered?

FMCG

FMCG Enterprise — Full Azure Migration

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

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Technology & Consulting

Enterprise Technology — AWS & Azure Cloud Platform

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

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How Does Agility Run a Cloud Migration Project?

Infrastructure Discovery & Assessment

Full inventory of on-premises components, dependencies, and migration risk mapping

Migration Architecture Design

Cloud platform selection, schema mapping, security design, and phased cutover planning

Environment Setup & Parallel Build

Cloud environment provisioned and tested in parallel with live on-premises systems

Phased Migration Execution

Batch-by-batch migration with validation gates and rollback capability at every stage

Security & Governance Implementation

IAM, Key Vault, private endpoints, audit logging, and RLS configuration

Cutover, Validation & Hypercare

Production cutover with hypercare support period, performance monitoring, and optimisation

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.

Frequently Asked Questions

Everything you need to know about our cloud migration process

Ready to Move to the Cloud?

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

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