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.
- Data loss on production migrations
- Zero
- Assessment before anything moves
- 1 to 2 wks
- Focused database and ETL migration
- 8 to 12 wks
- Infrastructure saving, FMCG migration
- 40%
The short answer
Which systems and workloads does Agility migrate to cloud?
Need to move the other way? Cloud-to-On-Premises 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?
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
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
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.
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.