Cloud migration · Burlington, Ontario

Cloud Migration Services for Burlington Businesses

Migration handled as a planned project rather than a rushed lift, using an assessment, sequencing and validation process that identifies dependencies before they cause downtime and confirms data integrity after every move.

What this covers

  • Workload assessment before any migration decision
  • Dependency mapping across applications and data
  • Migration waves sequenced by risk and complexity
  • Rollback plan defined for every cutover
  • Post-migration validation against baseline performance

01Why assessment comes first

Migration decisions made from evidence, not guesswork

The choice between rehosting, replatforming or replacing a workload changes the cost and risk of a migration substantially. That choice deserves an assessment before it deserves a schedule.

Each workload is evaluated against the standard cloud migration strategies — rehost, replatform, refactor, repurchase or retire — based on its current architecture, licensing, dependencies and business criticality. Some applications move unchanged; others need adjustment first; a few are better retired than migrated at all.

Dependency mapping identifies which systems talk to which, so a database is not moved a week before the application that depends on it. This is the step most failed migrations skip, and it is the one that determines whether cutover weekend is uneventful or not.

Every migration wave carries a documented rollback plan. If validation after cutover does not meet the agreed criteria, the path back to the previous state is known in advance rather than improvised under pressure.

02What we migrate

Workload types covered

Migration planning appropriate to the source and target platform.

  • On-premises servers to Azure or AWS
  • Physical-to-virtual and virtual-to-cloud conversions
  • File servers to SharePoint and OneDrive
  • On-premises Exchange to Exchange Online
  • SQL Server databases to managed cloud database services
  • Line-of-business applications to cloud-hosted platforms
  • Legacy datacentre exit projects
  • Cloud-to-cloud migration between providers
  • Active Directory to Entra ID hybrid identity
  • Backup and archive data migration
  • VDI and desktop environment migration
  • Domain and DNS cutover planning

03How a migration project runs

The migration lifecycle

A consistent structure applied regardless of workload size.

01

Discovery and assessment

Current-state inventory, dependency mapping and a migration strategy per workload, agreed with you before any technical work begins.

02

Target design

The destination environment is architected and validated against Well-Architected principles before data or workloads move into it.

03

Pilot migration

A low-risk workload moves first to validate the process, tooling and timing assumptions against reality.

04

Wave execution

Remaining workloads migrate in sequenced waves, each with a defined maintenance window and communication to affected users.

05

Validation

Functional testing, performance comparison and data integrity checks confirm the migrated workload matches or improves on baseline before the source is decommissioned.

06

Decommission

Source systems are retired only after an agreed stabilization period, with data retained per your policy rather than deleted immediately.

FAQCommon questions

Questions Burlington organizations ask

How much downtime should we expect during migration?

Downtime depends on the workload and chosen cutover method. Many migrations use replication and staged cutover to reduce downtime to a maintenance window rather than a full-day outage, and this is agreed with you in advance for each wave.

What happens if something goes wrong during cutover?

Every wave has a documented rollback plan defined before cutover begins. If validation criteria are not met, the environment reverts to its prior state rather than proceeding on hope.

Can you migrate from another cloud provider, not just on-premises?

Yes. Cloud-to-cloud migration follows the same assessment and sequencing approach, accounting for differences in identity, networking and service equivalence between providers.

Do you migrate data or just applications?

Both, and the two are planned together. Data integrity validation — record counts, checksums, or application-level testing — is a required step before a source system is decommissioned.

NEXTRelated capabilities

Migration is the start of a cloud lifecycle

Landing zone design and cost governance determine whether a migrated environment stays efficient after go-live.

Providing Two Decades of IT Experience

Request an IT assessment for your Burlington organization

We review your current environment, security posture, cloud footprint and support model, then outline what to fix first and what it should cost.