Cloud Busters analyzes your cloud spend, identifies workloads that are cheaper, faster, and safer on-premises — and engineers the migration end to end. Keep the cloud where it shines. Repatriate where it doesn't.
We're not anti-cloud — we're anti-waste. Our engineers find the economic crossover point for every workload and execute with surgical precision.
Deep analysis of your billing data, egress fees, reserved instances, and hidden costs. We map every dollar to a workload and surface where the cloud premium isn't paying off.
A data-driven model that scores each workload on elasticity, data gravity, compliance, and unit economics — telling you exactly what stays in the cloud and what comes home.
Right-sized hardware design, colocation selection, virtualization, and private-cloud platforms that give your teams cloud-like agility at a fraction of the cost.
Battle-tested repatriation playbooks with phased cutovers, live data replication, and rollback plans. Your customers never notice — except when things get faster.
Unified observability, networking, and CI/CD across cloud and on-prem so your engineers operate one platform — not two silos.
Ongoing guardrails, chargeback models, and quarterly reviews to ensure costs never creep back — in the cloud or in your racks.
From first audit to steady-state operations, a typical engagement runs 8–16 weeks.
Two-week audit of cloud bills, utilization telemetry, and architecture. You get a workload-by-workload cost map.
Joint placement workshop. We model TCO over 3–5 years and agree on the repatriation candidates and ROI targets.
We procure, build, and migrate in phases — with parallel running, validation gates, and rollback at every step.
FinOps governance, capacity planning, and quarterly reviews keep your savings locked in for the long run.
Steady-state, predictable workloads typically cost 2–4× more in the cloud than on owned or colocated infrastructure over a 3-year horizon.
Illustrative estimate assuming ~50% TCO reduction on repatriated steady-state workloads. Your free assessment provides exact figures.
Real companies, real racks, real savings.
Moved a 2 PB data processing pipeline from public cloud to a colocated private cloud while keeping the customer-facing app cloud-hosted.
Designed a two-site on-prem footprint for matching engines and risk computation, with cloud retained for bursty batch analytics.
