Cloud migration,
move without breaking.
Data-centre and cross-cloud migrations run as rolling waves with parallel-run and reconciliation, designed so cutovers are reversible and rollback is a same-day option.
Cloud migrations are made or broken by how honestly the disposition per workload was made, and by how reversibly the waves were cut. Big bangs don't work here either.
Discover
Portfolio, dependencies, licences and true run-cost mapped. Every workload gets a disposition, not a wish.
Retire, retain, replatform, refactor or rebuild, decided on evidence. Data gravity, latency, regulation, hardware attachment and skills all matter.
The output is a workload-level map with costed phased plan.
Legacy is retired only after the replacement earns trust in production. Not before.
Design & prepare
Target-state and cutover patterns designed per workload class. Reconciliation and rollback engineered before code moves.
Landing zones, connectivity, identity and data flows designed against the actual estate. Dry-runs and reconciliation harnesses built before real cutovers happen.
Freeze windows are honoured, comms stay live, risk registers reflect reality.
Migrate
Rolling waves with parallel-run, reconciliation and same-day rollback. Never a big-bang weekend.
Workloads cut over in scoped batches with fallback paths active during transition. Legacy retires only after the replacement earns trust in production.
The difference between a smooth migration and a painful one is engineering, not luck.
Optimise
Post-migration right-sizing, licence rationalisation and hardening, the last, non-optional step of every wave.
Cost curves land where the business case said they would, or we understand why they didn't. FinOps is engineered in from day one.
Migration is only paid for once run-cost drops.
Toolkit
Framework, platform and vendor selection is driven by the shape of the work and the team who'll own it, not by whichever ecosystem is loudest this year. The list below is representative, not prescriptive.
- Cloud
- AWS · Azure · GCP
- Migration tools
- AWS MGN · Azure Migrate · Google Migrate for Compute
- IaC
- Terraform · Ansible
- Data
- DMS · Debezium · Snowflake · Databricks
- Networking
- Direct Connect · ExpressRoute · Cloud Interconnect
Selected work
What clients ask us first
01How do you avoid a bad cutover weekend?
Rolling waves, parallel-run, reconciliation on identity and value, same-day rollback. Legacy retires only after the replacement earns trust in production, usually weeks after cutover.
02How do you decide what to retire, replatform, refactor or rebuild?
Per workload, on evidence, usage, dependencies, run-cost, business value. Some workloads are retired without replacement. That's a valid and overlooked answer.
03How do you handle zero-downtime for critical workloads?
Dual-write, change-data-capture, shadow read, blue/green, staged cutover with idempotent replays. Reconciliation on identity, not just row count. Rollback path designed before forward path.
04How do you keep the migration paid for?
Post-migration right-sizing, licence rationalisation, storage tiering, workload placement, landing in the weeks after each wave. Not a separate phase.
Let's discuss your migration programme.
Share a brief overview of what you're moving and off what, we'll arrange an introductory conversation with the relevant practice leadership.