Cloud Migration
Data center leases are expiring, on-prem hardware is out of support, or engineering leadership has committed to a cloud-first strategy but has no credible plan to get there without downtime or budget overrun.
How we tackle it
We start from workload reality, not a slide template: automated discovery tools plus interviews with application owners produce a dependency map that drives the rehost/replatform/refactor decision per workload. Landing zone design follows a security-first baseline (account segmentation, centralized logging, least-privilege IAM, network segmentation) built as versioned Terraform modules so it is repeatable and auditable from day one.
Current-state pain points
- No accurate inventory of applications, dependencies, or data flows
- Fear of downtime during cutover with no rollback plan
- Licensing and compliance constraints not mapped to cloud equivalents
- Previous lift-and-shift attempt stalled or was abandoned mid-way
- No cost model, so finance cannot approve a target cloud spend
- Security and networking teams not aligned with the migration timeline
What is in scope
- Application and infrastructure discovery, dependency mapping
- Migration strategy per workload (rehost, replatform, refactor, retire)
- Landing zone design: accounts/subscriptions, networking, identity, guardrails
- Data migration and replication strategy including cutover windows
- Wave planning, rollback procedures, and cutover runbooks
- Post-migration validation, cost baseline, and hypercare support
Who it is for
- Engineering leaders under a deadline to exit a data center or colocation contract
- Organizations acquired or merging infrastructure across mismatched estates
- Teams running EOL hypervisors, databases, or OS versions that block modernization
- Companies that migrated once already and ended up with an unmanaged, costly footprint
Prerequisites
- Access to source environment inventory or monitoring tools
- A named application owner per workload for dependency validation
- Agreement on acceptable cutover windows and rollback tolerance
- Cloud account/subscription access with billing visibility
What you end up owning
Artifacts land in your repositories and cloud accounts, with documentation to match.
- Application and dependency inventory with migration disposition per workload
- Target landing zone architecture (multi-account/subscription, network topology, IAM model)
- Infrastructure-as-code modules for the landing zone and core services
- Wave-by-wave migration runbooks with rollback steps
- Data migration and replication plan with validation checksums
- Cutover checklist and communication plan
- Post-migration cost and performance baseline report
How the work is sequenced
Discovery & Assessment
Inventory applications, dependencies, data volumes, and compliance constraints; classify each workload by migration strategy and risk.
Landing Zone & Design
Build the target account/subscription structure, networking, identity, and guardrails as infrastructure-as-code before any workload moves.
Wave Planning
Group workloads into migration waves based on dependency order, business risk tolerance, and available cutover windows.
Migration & Cutover
Execute each wave with replication, validation, and a rehearsed cutover runbook including rollback triggers.
Stabilization
Validate performance and cost against baseline, tune resource sizing, and hand over operational runbooks to the internal team.
What we typically use
Cloud Platforms
Infrastructure as Code
Migration Tooling
Networking & Identity
What changes when this is done
Qualitative outcomes only. Any figures depend entirely on your estate, and we will not quote them before measuring.
- A landing zone that can absorb future workloads without redesign
- Reduced operational risk during cutover through rehearsed runbooks
- Clearer cost visibility tied to actual workload consumption
- Elimination of legacy hardware and licensing dependencies
- A repeatable migration playbook the internal team can reuse for later waves
Common questions
Related service
Other solutions
Platform Engineering & Internal Developer Platforms
Give developers self-service infrastructure so platform and DevOps teams stop being a bottleneck.
Infrastructure Automation & IaC
Replace manual, console-driven infrastructure changes with version-controlled, reviewable Terraform.
Cloud Cost Optimization & FinOps
Bring visibility and accountability to cloud spend without cutting into performance or reliability.
Talk to the engineers who would do the work
Bring your current architecture, constraints and the problem you are trying to solve. We will tell you what we would change first, what it depends on, and where we would start.