Enterprise Challenge / 01

HYPERSCALE
LOCK-IN

Strategic risk

Years of AWS, Azure, or GCP commitments make change feel impossible. Egress, proprietary services, and contractual rebates trap your roadmap — and the people who built the stack feel personally invested in keeping it.

Symptoms

HOW LOCK-IN MANIFESTS

No. 01

Egress fees as a tax on movement

Moving data out of a hyperscaler costs more than moving it in. Multi-petabyte estates can't be exported in any reasonable timeframe at standard egress rates.

No. 02

Proprietary services with no analogue

Workloads built on AWS-specific managed services (DynamoDB, Lambda, Aurora) need re-engineering, not just re-hosting. Lift-and-shift isn't a path.

No. 03

Contractual rebate traps

Enterprise discount programs (EDP, MACC) are structured to make moving spend feel like a financial loss. Boards rarely look past the rebate to the underlying cost.

No. 04

Skills aligned to one stack

Years of investment in cloud-specific tooling, IaC, and certifications create cultural lock-in. Engineers feel that moving means losing their expertise.

Approach

HOW WE UNPICK IT

Map the lock-in surface

Catalogue every dependency on hyperscaler-specific services. Surface the workloads that lift cleanly, the ones that need re-engineering, and the ones genuinely captive.

Quantify true cost

Look past the rebate. Calculate full-stack TCO including egress, support, FinOps overhead, and the people-cost of staying. Compare against sovereign alternatives.

Wave-based migration

Move workloads in waves, smallest blast radius first. Each wave is independently reversible. The hyperscaler footprint shrinks as sovereign capacity comes online.

Re-skill, not replace

We bring your engineers along — Kubernetes, Terraform, OpenStack, Proxmox. The skills are portable, the tooling is open, the lock-in evaporates over time.

READY TO MAP YOUR LOCK-IN?

We start with a structured audit. Egress modelling, dependency mapping, and a phased exit plan.