Cloud Migration Services
Seamless migration of applications and workloads to the cloud — zero unplanned downtime, tested rollback at every stage.
Overview
Aezona has completed 500+ cloud migrations across AWS, Azure, and GCP. We handle the full lifecycle — from discovery and planning through cutover and post-migration tuning — with zero unplanned downtime and a tested rollback at every stage.
| Stat | Value |
|---|---|
| Migrations completed | 500+ |
| Unplanned downtime | Zero |
| Average project duration | 30 days |
Migration types
Lift and shift (Rehost)
Move workloads to cloud VMs with minimal changes. Fastest time-to-cloud, with optimisation deferred post-migration. Suitable for applications where refactoring is not justified by the business case.
Replatform
Move to cloud-native managed services — e.g., migrating a self-managed MySQL database to RDS, or moving a VM-based app to containers on EKS. Moderate effort, significant operational benefit.
Refactor / Re-architect
Redesign the application to take full advantage of cloud-native capabilities — serverless, auto-scaling, managed queuing. Highest effort, highest long-term value. Undertaken when existing architecture is a constraint on growth.
Retire / Replace
Decommission end-of-life systems or replace with SaaS alternatives. Aezona handles data migration, integration cutover, and decommission verification.
Our migration methodology
Workload assessment and discovery
Inventory all applications, dependencies, data volumes, and integration points. Each workload is categorised by complexity and assigned a migration strategy (rehost, replatform, refactor, or retire).
Migration planning and phasing
Build a phased migration plan that sequences workloads by risk and dependency. Non-critical workloads migrate first to validate the process before production systems are touched.
Application refactoring
Where replatforming or refactoring is in scope, Aezona engineers make the necessary code and configuration changes. All changes are tracked in Git and reviewed before deployment.
Live cutover with blue-green
Production cutover uses a blue-green approach — both environments run in parallel until the new environment is validated. Cutover is a DNS or load-balancer flip, reversible in under 5 minutes.
Post-migration validation
Automated smoke tests and synthetic monitoring validate the migrated environment. Performance is benchmarked against the pre-migration baseline.
Performance benchmarking
Cloud-native performance targets are set and measured. Right-sizing recommendations are applied within the first 30 days post-migration based on actual usage data.
What makes a safe migration
Rollback at every stage
Every migration stage has a tested rollback procedure documented before work starts. We don't progress to the next stage until the current rollback has been verified.
Data integrity
All data migrations include a verification step — row counts, checksums, or application-level consistency checks — before the source is decommissioned. Data is never deleted until the destination is confirmed correct.
Supported migration patterns
| Pattern | Example |
|---|---|
| On-premises → AWS | VMware VMs migrated using AWS MGN |
| On-premises → Azure | Hyper-V workloads migrated with Azure Migrate |
| AWS → GCP | Cross-cloud database and compute migration |
| Monolith → Kubernetes | Containerisation and EKS deployment |
| Self-managed DB → RDS/Cloud SQL | Database lift to managed service |
| Bare metal → cloud-native | Full application re-architecture |
Migration included in plans
Cloud Migration services are included in Business and Enterprise plans as part of the managed services package. For Professional customers, migration is available as a scoped add-on engagement.
Contact sales to discuss your migration scope and timeline.