Lifting a legacy stack to the cloud
On-prem or single-VM deployments where you need a credible plan and people who have done it before.
Cloud Consultancy
Cloud migration and platform work, without the false starts.
AWS, Azure, and Google Cloud. Senior architects who have moved workloads to production, not just to diagrams. We plan, build, and operate the platform — then hand it back.
The problem
Most cloud projects ship architecture diagrams. Not platforms.
Half-finished migrations, ballooning bills, and runbooks no one trusts are the usual outputs of a generic cloud engagement. We focus on the boring middle — landing zones, identity, observability, cost guardrails — because that is what makes everything else possible. The deliverable is a platform your team can actually run on Monday morning.
What an engagement looks like.
- 01
Assessment
Two-week deep dive: current workloads, dependencies, compliance constraints, real cloud-readiness. You get a written report, not a sales deck.
- 02
Target architecture
A reference architecture sized to your traffic and risk profile — account topology, network, identity, observability, backup, and FinOps from day one.
- 03
Migration in waves
We move workloads in measurable waves with rollback criteria. Each wave ends with a working production deployment, not a slide.
- 04
Operate, then transfer
We run the platform with your team for an agreed period, document everything, then transfer ownership cleanly. We do not engineer lock-in.
What you get
Concrete deliverables, not just hours.
- Cloud-readiness assessment with prioritised migration plan
- Multi-account landing zone (AWS Control Tower / Azure Management Groups / GCP folders)
- Identity, network, and security baselines as code (Terraform / Bicep)
- CI/CD pipelines and reproducible environments
- Observability stack: metrics, logs, traces, SLOs, paging
- Cost guardrails: budgets, alerts, right-sizing recommendations
- Runbooks, on-call rotations, and an incident-response template
- Knowledge transfer sessions and engineering handover
Where we add the most value.
A platform that has outgrown its first design
Early cloud setups that work but are now expensive, fragile, or impossible to onboard new engineers to.
Regulated and high-availability workloads
Workloads with real compliance, latency, or uptime requirements where a generic agency engagement is a risk.
FAQ
Cloud consultancy — common questions
Which cloud provider does DigiHawks specialise in?
We work across AWS, Azure, and Google Cloud. The right choice usually depends on your existing stack, team skills, regional availability, and procurement preferences. We will recommend what fits your constraints — not whatever we sold last quarter.
How long does a typical cloud migration take?
A focused workload migration (one application, well-documented dependencies) runs four to eight weeks end-to-end. A full data-centre exit for a mid-size enterprise typically runs six to twelve months across multiple waves. We will give you a wave-by-wave estimate after the assessment.
Do you write everything as infrastructure-as-code?
Yes. We default to Terraform for AWS and GCP, and Bicep or Terraform for Azure. Click-ops setups are a one-way ticket to drift, surprise bills, and on-call pain — so we treat IaC as table stakes.
How do you handle security and compliance?
Security is built into the landing zone, not bolted on. We set up centralised logging, guardrails, secret management, and least-privilege access from day one. For regulated workloads (PCI, SOC 2, ISO 27001) we map controls to your audit framework and document the evidence trail.
What does cloud consultancy cost?
Assessments are fixed-fee (two to four weeks). Migration and platform engagements are typically time-and-materials with a capped budget per wave, billed monthly. We send a detailed proposal after a short discovery call so you can compare like-for-like.
Ready to make a real plan?
A 30-minute call is enough to know whether we are the right team for your migration.