How a Fintech Migrated from Hyperscalar to Dedicated Infrastructure
A pan-African fintech cut cloud costs by 55% and reduced payment processing latency by 40% after migrating from a major hyperscalar to Fugoku's dedicated bare-metal infrastructure across Lagos and Frankfurt.
The Challenge
A Series B pan-African fintech was processing $2.3B in annual transactions across 12 countries. Their infrastructure ran entirely on a major hyperscalar: 48 virtual machines, 3 managed database clusters, and a global load balancer.
The problem was cost and control.
- Monthly cloud bill: $84,000 — growing 15% quarter-over-quarter as transaction volume increased
- Payment processing latency: 120ms p95 — inconsistent during regional traffic spikes
- Egress costs: $12,000/month — cross-region data transfer between Lagos, Nairobi, and Frankfurt
- Compliance anxiety: KYC and transaction data stored in multiple jurisdictions with varying data-residency rules
- Vendor lock-in fear: Proprietary database services made migration paths unclear
Their CTO had a simple requirement: "Cut the bill in half, get latency under 80ms, and own our infrastructure."
The Solution
Fugoku designed a hybrid architecture: dedicated bare-metal servers in Lagos for payment processing, and a cloud-connected environment in Frankfurt for European compliance residency.
Compute:
- 8x
m4.metal.largebare-metal servers in Lagos (24 cores, 384 GB RAM each) - 4x
vm-standardVMs in Frankfurt for European workloads - 2x
rs4.metal.largeservers for database clustering (100 Gbps networking)
Storage:
- 120 TB NVMe block storage across Lagos cluster
- 40 TB block storage in Frankfurt
- Automated snapshots every 4 hours, 30-day retention
Networking:
- Private VLAN between payment processors and databases (no public exposure)
- Cloud Gateway connecting Lagos bare metal to Frankfurt VPC
- Load balancer with health checks and automatic failover
- 20 TB outbound included per server — eliminated egress bills
Platform:
- PostgreSQL 16 on dedicated bare metal (replaced managed database)
- Redis cluster for session caching and rate limiting
- Prometheus + Grafana for infrastructure monitoring
- Automated backups with point-in-time recovery
The Migration
Week 1-2: Assessment & Design
Fugoku engineers performed a full infrastructure audit:
- Mapped all 48 VMs to equivalent bare-metal plans
- Identified 14 VMs that could be consolidated (low utilization)
- Designed network topology with zero public exposure for payment processors
- Planned cut-over sequence to minimize downtime during migration
Week 3-4: Provisioning & Data Transfer
Lagos bare-metal servers provisioned in under 5 minutes each. Frankfurt VMs spun up in 90 seconds.
Data migration strategy:
- PostgreSQL logical replication from hyperscalar to Fugoku
- 48-hour dry run with production traffic shadowing
- Zero data loss during final cut-over
Week 5: Cut-over
Saturday 02:00 UTC — lowest transaction volume window.
- Application scaled to read-only mode (30 seconds)
- Database replication caught up and validated
- DNS updated to point to Fugoku load balancer
- Application scaled back to read-write
- Smoke tests passed across all 12 markets
Total downtime: 4 minutes 32 seconds
Week 6: Optimization
- Tuned PostgreSQL query performance: 35% faster transaction processing
- Enabled connection pooling: reduced database connection overhead by 60%
- Configured Redis caching for frequent lookups: 99% cache hit rate
- Set up automated alerts and runbooks
The Results
Cost Reduction
| Component | Hyperscalar (Monthly) | Fugoku (Monthly) | Savings |
|---|---|---|---|
| Compute (52 servers) | $38,000 | $16,200 | 57% |
| Managed databases | $18,000 | $4,800 | 73% |
| Load balancer + networking | $8,000 | $1,500 | 81% |
| Egress / data transfer | $12,000 | $0 | 100% |
| Storage | $4,000 | $2,100 | 48% |
| Management / support | $4,000 | $3,000 | 25% |
| Total | $84,000 | $27,600 | 67% |
Annual savings: $676,800
Performance Improvement
| Metric | Before | After | Improvement |
|---|---|---|---|
| Payment processing p95 latency | 120ms | 72ms | 40% faster |
| Database query p99 latency | 45ms | 18ms | 60% faster |
| API response time (average) | 85ms | 48ms | 44% faster |
| Transaction throughput | 1,200/min | 2,800/min | 133% increase |
| Uptime (12-month trailing) | 99.92% | 99.97% | 5x fewer incidents |
Compliance & Control
- Data residency: European transaction data stays in Frankfurt. African data stays in Lagos. No cross-border replication without explicit consent.
- Audit trail: Full access to database logs, network flows, and infrastructure metrics — no black-box managed services.
- Disaster recovery: Point-in-time recovery with 30-day retention. Cross-region replication ready for Frankfurt → Lagos failover.
Business Impact
- Closed Series C 3 months after migration. The cost efficiency and infrastructure ownership were cited as key due-diligence positives.
- Expanded to 3 new markets within 6 months — provisioning new regions took days, not weeks.
- Reduced engineering team: 2 engineers laid off (managed services team), 1 hired (platform engineer). Net: saved $280K/year in headcount costs.
- Developer productivity: No more cloud cost anxiety. Engineers can spin up test environments without approval.
Why They Chose Fugoku Over Hyperscalar Reserved Instances
The fintech evaluated 3-year reserved instances from their existing hyperscalar. The quote: $42,000/month — still 34% more expensive than Fugoku's dedicated infrastructure, with none of the compliance or data-residency benefits.
Their CTO's take: "We thought we were locked in. Turns out, we just needed someone to show us there was a better way. Fugoku didn't just migrate our infrastructure — they re-architected our entire cost model."
Infrastructure that pays for itself. Talk to Fugoku about your migration.