Autimo Cloud
AWS migration services
Move to AWS with production operations in view. Autimo Cloud assesses, builds, migrates, and operates cloud platforms, with clear ownership through each stage.
Built to keep running
An AWS migration needs a plan for the system after it moves. Architecture, delivery, recovery, and operating ownership belong in the same engagement.
What we do
Scope the move around production.
Start with a focused assessment. Agree the delivery scope and the operating responsibilities before migration begins.
- Cloud and platform assessment, target architecture, and migration planning
- AWS landing zones, account foundations, and identity controls
- Application and data migration in controlled stages
- Infrastructure as code, delivery automation, and observability
- Backup, recovery, and continuity testing
- Managed cloud operations where ongoing ownership is the right fit
Engagement path
From assessment to operating ownership.
- 01
Assess the current platform
Map applications, data, dependencies, and operating constraints. Define the target architecture, the business reason for moving, and who owns each workload. Assessment sets the scope before delivery starts.
- 02
Build the AWS foundation
Establish the landing zone, account boundaries, identity, and access controls. Build infrastructure as code and plan observability, backup, recovery, and cost allocation before moving production workloads.
- 03
Sequence migration waves
Group workloads around their dependencies and business priorities. Agree the validation checks and operating owner for each wave. Use what the first move reveals to refine the next stage.
- 04
Plan and verify cutover
Agree the change window, application and data checks, rollback conditions, and decision owner. Rehearse the cutover plan before switching production. Confirm the workload works in its new environment before closing the wave.
- 05
Run and operate afterwards
Leave named ownership for monitoring, incident response, maintenance, and recovery. Where the platform and relationship are a fit, continue with managed cloud operations and review reliability, performance, and cost as the system changes.
On-premises to cloud migration
Move dependencies together.
An on-premises environment can connect applications, databases, identity, and networks in ways an inventory alone does not show. Sequence the move around those connections.
Identify what must move together and what must remain connected to existing systems. Build and test the AWS foundation first. Choose an initial workload with understood dependencies, then use its validation results to plan the following waves.
Agree how data changes will be handled during cutover and rollback. Keep the source environment available until the agreed validation is complete. Confirm monitoring, recovery procedures, and the operating owner before retiring the old workload.
This sequencing follows AWS guidance on migration wave planning. The scope and timing depend on the platform assessment.
Prepare the assessment
Bring evidence of how the workload runs.
A migration decision needs more than a server list. Use these records to identify what can move, what should stay, and which assumptions need testing.
- Dependency map: applications, databases, identity providers, scheduled jobs, network paths, external integrations, and the owner of each connection.
- Operating baseline: normal and peak traffic, latency, error rates, backup results, recovery requirements, and the monitoring used to confirm service health.
- Cost comparison: current operating costs, expected AWS usage, licences, data transfer, temporary dual running, and the work required to operate the target platform.
- Constraints: data location, access controls, maintenance windows, vendor support, and the period during which the source must remain available.
Cutover decisions
Set go, pause, and rollback checks before the window.
Write the acceptance checks with the application owner. A server starting successfully does not prove that the business workflow works.
For an illustrative application with a database and a scheduled export, a rehearsal should test login, a representative transaction, data reconciliation, the export, and connectivity to dependent systems. Record the source baseline and the target result. Define acceptable latency and error levels from the workload requirements rather than using a universal threshold.
Give every cutover task an owner, a planned duration, and a completion check. Name the decision owner who can stop the move. If validation fails, the rollback plan must explain how traffic returns and how writes made on the target will be reconciled. Switching an endpoint back is not a complete data rollback.
Keep a decision record for unmet checks, exceptions, and the period of closer monitoring after cutover. Confirm the operating team can receive alerts, restore a backup, and find the infrastructure code before closing the migration wave.
These are planning recommendations, consistent with AWS pre-cutover guidance. The assessment determines the checks and delivery scope for a particular workload.
Choose a migration partner
Ask who will own the platform.
Compare how partners assess, deliver, and operate. Ask for evidence of the work your platform needs and clear responsibilities at every handoff.
- How will the assessment expose dependencies, recovery needs, and cost assumptions?
- Who will build and maintain the landing zone and infrastructure code?
- What checks determine whether a wave can proceed, pause, or roll back?
- Who owns monitoring, incidents, maintenance, and recovery after cutover?
Selected work
AWS foundations and continued operation.
- Hero Innovation Group: a multi-account AWS landing zone and Terraform-based local development that mirrors production.
- Concert Properties: a containerized AWS platform with backup, disaster recovery, Azure identity integration, and continued infrastructure support.
- Smartbeemo: SRE and AWS migration work for a legacy application while a longer-term rewrite continued.
AWS insights
Read the engineering behind the move.
- Cloud cost management: establish ownership and compare current, transition, and steady-state costs.
- AWS compute pricing models: test commitment assumptions before the workload changes platform.
- AWS Landing Zone Accelerator: an introduction to multi-account foundations.
- AWS Well-Architected pillars: the areas to consider when reviewing a workload.
- AWS Well-Architected design principles: testing, automation, and architecture decisions based on operating evidence.
Autimo Cloud
Discuss your AWS migration.
Share what runs today, what needs to move, and who will operate it. Start with the platform and the business constraint.