Cloud Migration, Integration & AI Operations

Cloud Migration

Lift-and-shift is the start, not the goal. Good migrations assess first, move in waves and modernize the parts that pay off.

Multicloud AI & ERP / Cloud Migration, Integration & AI Operations

Cloud Migration: diagram comparing AWS, Azure and Google Cloud
How a migration moves in waves, and how AWS, Azure and Google Cloud each implement it.

Why it matters

Data center exits, end-of-support software and cost pressure drive migrations. Rushed moves recreate on-premises problems in the cloud at higher cost; well-planned ones cut costs and open the door to modernization.

How it works

Migration in waves

Discover servers, applications and dependencies. Assess size, cost and readiness. Replicate servers and databases with minimal downtime. Cut over in short windows, wave by wave. Then modernize where it pays: managed databases, containers and serverless.

AWS, Azure and Google Cloud compared

AWSAzureGoogle Cloud
Discovery and assessmentMigration Hub, Migration EvaluatorAzure MigrateMigration Center
Server replicationApplication Migration ServiceAzure Migrate server migrationMigrate to Virtual Machines
Database migrationDatabase Migration ServiceAzure Database Migration ServiceDatabase Migration Service
AI-assisted modernizationAWS TransformAzure Migrate with Copilot, GitHub CopilotGemini Code Assist
Funding programsMigration Acceleration ProgramAzure Migrate and ModernizeRapid Migration Program

What makes each cloud different

AWS

AWS Application Migration Service replicates servers at block level, DMS moves databases and AWS Transform uses AI agents to modernize code, VMware and mainframe workloads. MAP funding offsets migration costs.

Azure

Azure Migrate discovers and assesses servers, databases and web apps in one hub, agentless replication moves VMware and Hyper-V VMs and Azure Hybrid Benefit cuts Windows and SQL licensing costs.

Google Cloud

Google's Migration Center assesses estates with TCO comparisons, Migrate to Virtual Machines supports test clones to rehearse cutovers and Migrate to Containers turns VMs into containers.

Design decisions that matter

  1. 01Waves by dependency

    Move application groups together.

  2. 02Right-size during the move

    Do not copy on-premises sizing.

  3. 03Rehearse cutovers

    Test clones before the real switch.

  4. 04Modernize what pays back

    Not everything needs re-architecture.

Common mistakes we see

  • Moving without dependency mapping. Broken applications after cutover.
  • Lifting oversized servers. Cloud bills higher than the data center.
  • Endless modernization before moving. The data center contract expires first.

A practical 30-day plan

  1. Week 1

    Run discovery and dependency mapping.

  2. Week 2

    Build the business case and wave plan.

  3. Week 3

    Migrate a pilot wave with rehearsal.

  4. Week 4

    Review results and scale the factory.

How NTS helps

NTS runs cloud migrations to AWS, Azure and Google Cloud end to end, covering assessment, business case, migration factory, cutover and modernization, using provider funding programs where available.

What you get

  • A portfolio assessment with migration waves
  • Business case with cost comparison
  • Migration factory for moving workloads
  • Cutover planning and validation

Typical outcomes

  • Data center exits on schedule
  • Lower infrastructure costs
  • Minimal disruption to the business

How we work with you

  1. 1Assess

    A focused review of your cloud migration across AWS, Azure and Google Cloud. We look for the gaps we find most often: moving without dependency mapping, lifting oversized servers and endless modernization before moving.

  2. 2Design

    A target architecture and roadmap built on the decisions that matter most: waves by dependency, right-size during the move, rehearse cutovers and modernize what pays back.

  3. 3Build

    Hands-on delivery alongside your team. We run discovery and dependency mapping, build the business case and wave plan, migrate a pilot wave with rehearsal, and finally review results and scale the factory.

  4. 4Run and improve

    After migration we optimize costs and modernize workloads step by step.

Why teams choose NTS for cloud migration

  • Proven migration method

    We move workloads in predictable, repeatable waves.

  • Business case first

    We show the financial return before you commit.

  • Low-risk cutovers

    Testing and rollback plans protect every move.

Book a free 30-minute review

Talk to an NTS architect about your cloud migration on AWS, Azure and Google Cloud.