Migrations measured in reversible increments, not leaps of faith.
From careful lift-and-shift to full replatforming, every migration starts by deciding what should move, what should change, and what should be retired.
The most expensive words in cloud migration are "move everything now, fix it later." Later rarely comes, and a whole data center's worth of waste, billed by the hour, adds up fast. Our migrations start with a portfolio assessment that looks at each system honestly across the rehost-replatform-refactor range. Some workloads should move as they are. Some should be replatformed onto managed services. Some are worth real refactoring. And some should be retired instead of migrated, which is the cheapest migration of all.
We run the work in waves, and we keep it boring on purpose. The landing zone comes first: accounts, networking, identity and guardrails as code. Then a low-risk pilot wave proves the path, and later waves move in order of rising risk. Data moves with change-data-capture (CDC), and the source stays in sync until cutover. Every wave has a rehearsed rollback plan, and cutovers happen behind traffic-routing layers, not DNS and a prayer.
FinOps is part of the work from day one, because migration is when cost habits form: right-sizing before the move, not after, tagging enforced by policy, and commitment purchases only once real usage data exists. We judge our migrations on the twelve months of invoices after cutover, not on the go-live announcement.
How we assess, prepare and move your systems, and make sure the bill lands where we said it would.
Portfolio assessment
We score every system across the rehost-replatform-refactor-retire range, map its dependencies, and make the business case for each workload clear.
Landing zone design
Accounts, networking, identity and guardrails built as code before the first workload moves. This is the difference between a cloud estate and cloud sprawl.
Data migration without downtime
CDC-based replication keeps the source and target in sync until cutover, and reconciliation checks prove everything arrived before we flip the switch.
Replatform where it pays
Databases move to managed engines, queues to managed brokers, and batch jobs to schedulers. These are targeted changes with a clear payback, not refactoring for its own sake.
Cutover orchestration
Traffic moves gradually behind routing layers, with a rehearsed rollback at every step. A cutover in a maintenance window is a last resort, not a plan.
FinOps from day one
Right-sizing before the move, tagging enforced by policy, and commitment purchases only after real usage data exists, so the bill lands where the model said it would.
No black boxes. Each phase has explicit outputs, and you see progress weekly, in staging, not slide decks.
- 01
Discovery and assessment
An inventory, a dependency map, and a decision for each system (rehost, replatform, refactor or retire), with a costed business case for the whole portfolio.
Outputs
- System inventory
- Disposition per system
- Portfolio business case
- 02
Landing zone and guardrails
The target environment built entirely as code: account structure, networking, identity, security baselines and cost controls, all ready before the first workload arrives.
Outputs
- Landing zone as code
- Security baselines
- Cost controls
- 03
Pilot wave
One low-risk, typical workload moves end to end. It proves the tooling, the runbook and the rollback path while the stakes are still small.
Outputs
- Migrated pilot workload
- Validated runbook
- Tested rollback path
- 04
Wave execution
Systems move in order of rising risk at a steady pace, with CDC-synced data, reconciliation checks, and gradual traffic shifts at every cutover.
Outputs
- Wave cutovers
- Reconciliation checks
- Traffic-shift plans
- 05
Optimize and decommission
Right-sizing against real usage, commitment planning, and shutting down the source environment on purpose. The migration is not done until the old bills stop.
Outputs
- Right-sizing report
- Commitment plan
- Source decommission
The results this service is accountable for, the reasons clients keep the engagement running.
Reversible waves
Every wave can be rolled back, so no single step can turn into an outage.
Less to migrate
Systems that should retire get retired, usually 10 to 20% of the portfolio, instead of being paid for twice.
Zero-downtime data migration
Reconciliation evidence replaces risky maintenance-window bets.
A governed landing zone
Every account follows the same guardrails from the first workload.
A predictable cloud bill
Spend is tracked against the forecast from the first wave, and right-sizing happens before the move.
Teams ready to operate
Your people are trained on the new setup throughout, so operations move over together with the workloads.
Chosen for your constraints, not our comfort, this is the toolkit we know deeply for this kind of work.
- Data & streaming
- AWS DMS
- Debezium
- Apache Kafka
- Cloud & infrastructure
- AWS
- Azure
- Google Cloud
- Terraform
- Kubernetes
- Docker
- Delivery & observability
- Datadog
How we plan, time and price cloud migrations.