Discovery & TCO modelling
Application and dependency mapping, right-sizing, licensing review and a total-cost model you can take to the board.
Service 02 — Cloud Migration
Move to the cloud without the outage story.
From data-centre or legacy hosting to AWS, Azure or Google Cloud — planned in waves, built on landing zones and infrastructure-as-code, with cost governance from day one.
- 0big-bang cut-overs
- 3clouds, one playbook
- 100%infra as code
3Clouds, one migration playbook
0Big-bang cut-overs — every wave is reversible
100%Infrastructure defined as code
30–45%Typical run-cost reduction after optimisation*
Why it matters
Lift-and-shift is a starting point, not a strategy.
Migrations fail in the same three ways: unmapped dependencies, a cloud bill nobody modelled, and a big-bang cut-over on a weekend. We map first, migrate in waves behind reversible cut-overs, and give you the guardrails and cost visibility to run it well afterwards.
Two ways to migrate
Big bang vs. waves.
| The usual approach | The Synkrith approach |
|---|---|
| Weekend cut-over of everything | Waves of 3–8 workloads with parallel runs |
| Dependencies discovered mid-migration | Dependency map and TCO model before anything moves |
| Rollback is a hope | Rehearsed cut-over and tested rollback per wave |
| Bill surprises in month two | Budgets, tagging and anomaly alerts from day one |
| Console-built infrastructure | Everything as Terraform in pull requests |
| Handover is a document | Runbooks, training and shadowed operations |
How it runs
Five phases, each with a dated deliverable.
- 012–3 weeks
Discover
Inventory, dependency map, compliance constraints and the business case with a modelled run-rate on each cloud.
- 022–4 weeks
Design
Target architecture, landing zone, network and identity design, migration strategy per workload and the wave plan.
- 033–5 weeks
Foundation
Landing zone, connectivity, CI/CD and observability delivered as code before the first workload moves.
- 04Per wave: 1–3 weeks
Migrate
Lowest-risk workloads first, parallel runs, cut-over rehearsals, then production with a tested rollback.
- 05Ongoing
Optimise
Right-sizing, cost reviews, runbooks and training so your team owns the estate with confidence.
Wave planning
A typical wave plan.
Illustrative sequencing for a mid-size estate — low-risk and loosely coupled first, the crown jewels last.
| Wave 1 | Wave 2 | Wave 3 | Wave 4 | |
|---|---|---|---|---|
| Dev & test environments | ||||
| Internal tools & static sites | ||||
| Stateless web tier | ||||
| Databases & data stores | ||||
| Core transactional systems | ||||
| Legacy & regulated workloads |
What we deliver
Migration capabilities.
Landing zones & guardrails
Multi-account / subscription structure, identity federation, networking, logging and policy-as-code so every workload lands in a governed environment.
Migration waves
Rehost, replatform or refactor decided per workload, executed in waves with blue-green or parallel-run cut-overs and tested rollback.
Data & database migration
Zero-/minimal-downtime database moves with DMS, replication and validation, plus object storage and file-share migration.
Infrastructure as Code
Everything provisioned with Terraform or CloudFormation / Bicep, reviewed in pull requests and deployed through pipelines.
FinOps & optimisation
Tagging, budgets, anomaly alerts, reserved / savings plans and post-migration right-sizing so the bill goes down after month one.
Cut-over night
Rehearsed twice, executed once.
Every production wave is preceded by a full dress rehearsal with the same runbook, the same people and the same rollback trigger. By the real night, it's routine.
- Named go / no-go owners
- Minute-by-minute runbook
- Rollback decision points agreed in advance
Connectivity
Hybrid by design, not by accident.
Private connectivity, DNS strategy and identity federation are designed so systems can straddle on-prem and cloud safely for as long as a wave plan needs.
- Direct Connect / ExpressRoute / Interconnect
- Split-horizon DNS
- Federated identity from day one
Outcomes
What the numbers look like after optimisation.
- Monthly run cost−38%
- Provisioning time (days → hours)−92%
- Patch cycle (weeks)−75%
- Unplanned downtime−80%
BeforeAfter
Illustrative — replace with your own baseline after discovery.
Engagement models
Three ways to work with us.
Migration assessment
3–4 weeks. Inventory, dependency map, TCO and a dated wave plan you can execute with anyone.
End-to-end migration
We design, build and migrate in waves with your team, then hand over a documented, governed estate.
Managed cloud
Ongoing operations, cost reviews, patching and on-call for the estate we migrated — or one we inherit.
FAQ
Migration questions.
Which cloud should we choose?
It depends on existing licensing, team skills, data gravity and compliance needs. Discovery produces a like-for-like cost and capability comparison so you decide on evidence.
How long does a migration take?
A single application can move in weeks. An estate of dozens of workloads typically runs in waves over a few months. Discovery gives you a dated wave plan.
Can we keep some systems on-prem?
Yes. Hybrid designs with private connectivity are common, especially for regulated data or latency-sensitive systems.
What about our database licences?
Licence portability, bring-your-own-licence options and managed-service alternatives are all costed in the TCO model.
Do you migrate to Kubernetes as part of this?
Only where it's the right target. Many workloads are better on managed services first; containerisation can be a later wave.
Who operates it afterwards?
Your team, with our runbooks and training — or us, under a managed-cloud agreement.
Let's build
Get a dated wave plan.
A migration assessment gives you the inventory, the cost model and the sequencing — whether or not you migrate with us.
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