Modernise Your Infrastructure with Strategic
Cloud Migration Services
managed support
data loss migration
cost optimization
What is cloud migration?
What TechnoRUCS delivers
across every migration
Discovery and inventory
A complete, dependency-mapped view of your current environment before any workload moves
Platform assessment
AWS vs Azure fit analysis based on your workload types, compliance needs, and existing technology stack
Migration approach selection
Lift-and-shift, replatform, or rearchitect, matched to each workload’s complexity and value
Phased execution
Workloads migrated in priority order with parallel environments and validated testing before cutover
Cost governance
FinOps practices embedded from day one so cloud spend is visible, attributed, and optimised continuously
Post-migration support
Stabilisation, monitoring, and optimisation after go-live to ensure savings materialise as projected
Two platforms.
One structured migration approach.
AWS - The Broadest Cloud Platform
- EC2, ECS, EKS, and Lambda for computing workloads from lift-and-shift to serverless
- RDS, DynamoDB, Redshift, and S3 for data storage, warehousing, and analytics at scale
- AWS IAM, GuardDuty, and Security Hub for identity management and compliance monitoring
- AWS Migration Hub and Application Migration Service for structured workload migration
- Cost Explorer and Savings Plans for post-migration FinOps and spend optimisation
Azure - Integrated Enterprise Cloud
- Azure VMs, AKS, and Azure Functions spanning lift-and-shift through cloud-native deployment
- Azure SQL, Cosmos DB, and Synapse Analytics for database migration and modern data platforms
- Azure Active Directory and Entra ID for identity management, SSO, and conditional access policies
- Azure Migrate and Azure Site Recovery for structured workload assessment and migration execution
- Azure Cost Management and Advisor for continuous spend visibility and optimisation recommendations
Six operational advantages
cloud delivers over on-premises infrastructure
Reduced infrastructure overhead
Faster deployment cycles
Cloud environments support CI/CD, containerisation, and infrastructure as code natively, reducing time from development to production and enabling teams to deploy and roll back changes without the change-control overhead of on-premises release cycles.
Scalability on demand
Stronger security posture
Improved availability and resilience
Better cost visibility
Four migration scenarios,
the problem driving each one, and how cloud resolves it

THE FAILURE
Legacy Infrastructure Compliance Challenges

HOW WE PREVENT IT
Built-In Cloud Compliance and Governance

THE FAILURE
Cost Reduction Initiative

HOW WE PREVENT IT
Full landscape assessment first

THE FAILURE
Mergers and Acquisitions

HOW WE PREVENT IT
Usage-Based Cloud Cost Optimisation

THE FAILURE
Remote and Distributed Workforce Enablement

HOW WE PREVENT IT
Centralised Cloud Identity and Access
Frequently Asked Questions
Lift-and-shift moves existing applications to the cloud with minimal changes for faster migration. Application modernisation redesigns applications using cloud-native technologies to improve scalability, performance, resilience, and long-term operational efficiency.
Cloud migration timelines depend on workload complexity, dependencies, and migration scope. Individual applications may take a few weeks, while larger, multi-application programmes typically require several months of phased implementation.
A structured cloud migration minimises disruption through phased deployment, parallel environments, and comprehensive testing. Careful planning, dependency mapping, and controlled cutovers help maintain business continuity throughout the migration process.
The right platform depends on your technology stack, compliance requirements, workloads, and business goals. Organisations already using Microsoft technologies often benefit from Azure, while broader cloud-native environments frequently favour AWS.
Data is securely transferred using encrypted migration processes, access controls, integrity validation, and reconciliation testing. Large datasets can also be migrated using offline transfer services to accelerate delivery and minimise operational risk.
Ready to plan your cloud migration?