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Financial Services·Africa / Europe·6 weeks·Variable cost reduction

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.

How We Approach Fintech Migration: A Framework

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

  1. Cut infrastructure spend — typically 40-70% is achievable when using dedicated hardware instead of shared cloud platforms.
  2. Reduce latency — provision the right server types in the right regions for your transaction patterns.
  3. Own the infrastructure — eliminate proprietary managed services, one thing at a time.
  4. 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.