How We Approach Fintech Migration: A Framework
Based on client conversations, here's how we structure a migration from hyperscaler dependence to dedicated infrastructure you own.

The Challenge
A fintech operating across multiple regions typically faces a pattern of problems:
- Cloud spend on VMs and managed databases grows unbounded
- Payment processing latency fluctuates due to shared infrastructure
- Egress costs accumulate silently between regions
- Compliance anxieties multiply as data-residency rules differ per market
- Vendor lock-in makes migration feel impossible
These are patterns we see consistently when clients describe their workloads to us. Here is how we think about structuring a disciplined migration.
Goals for a Migration
- Cut infrastructure spend — typically 40-70% is achievable when using dedicated hardware instead of shared cloud platforms.
- Reduce latency — provision the right server types in the right regions for your transaction patterns.
- Own the infrastructure — eliminate proprietary managed services, one thing at a time.
- Satisfy compliance — keep PII and transaction data in jurisdictions where it's legal to hold it.
What We Look At
Baseline
- Inventory all compute, storage, and networking with utilization data.
- Map every managed service to a Fugoku equivalent.
- Aggregate costs and apply egress topology analysis.
Proposed Architecture
We propose dedicated or HPC-optimized compute using instance types suited to your specific workloads. Examples of what we'd consider:
- Large tax compute: AMD EPYC or Intel Xeon dedicated-segment VMs
- Database clustering: sized for IOPS, memory, replication topology
- Networking: Suspended VPCs, segmenting payment processors from public endpoints
- Storage: NVMe block storage with snapshot replication.
Migration Plan
- Parallel-run with shadow traffic before final cut-over
- Maintenance window chosen for lowest transaction volume
- Physical replication validates target infrastructure
- Rollback plan agreed before go-live
Business Impact
When executed correctly:
- Cost reductions in the 40-70% range, with the largest gains from unmanaged databases
- Latency improves when workload placement matches end-users
- Compliance becomes a design requirement, not an afterthought
- Board-level conversations and messaging shifts from cost-reduction anxiety to control.
Talk to Fugoku about your migration: we'll work through your actual architecture and produce a concrete runbook within a week.
Pricing & SLA Notes
The exact billing model for any migration is quoted after we understand your workload profile. Our standard engagement approach:
- Fixed-scope projects with industry-standard SLAs after migration stabilizes
- Ongoing dedicated support on enterprise plans (1-hour response)
- All costs, terms, and uptime commitments are in writing before work begins
No fabricated numbers here. Contact us to evaluate your actual figures.