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Proof point · Tier-1 European bank

An AWS migration factory, delivered.

Banking · Regulated · Multi-year enterprise AWS program

The situation

Throughput capped by people, not technology.

A tier-1 European retail and corporate bank was running a multi-year AWS migration program. Application teams were blocked by manual infrastructure provisioning, inconsistent cutover practices, and a fragmented audit trail. Every workload migration consumed days of coordination across security, platform, database and application teams, and under regulatory scrutiny every shortcut was expensive.

What we built

A self-service factory: reusable infrastructure, automated cutover, audit-by-design.

  • Nine production-grade Terraform patterns covering MSSQL, Oracle, DB2, VPC, subnet, OpenSearch, ingress and supporting services, consumable by app teams without platform-engineering involvement.
  • Zero-touch cutover tooling standardizing how workloads transition from on-prem to AWS.
  • One-week release cadence for new patterns, doubling pattern output within three months.
  • Re-platformed data flows on Kinesis, Glue, ECS and Flink for streaming and batch workloads.
  • Security and cost-optimization reviews embedded into the standard delivery flow, not bolted on afterward.

Outcomes

The numbers that moved.

<30 minWorkload migration, per app team
Pattern throughput in 3 months
−22%Projected cloud spend
100%Audit compliance
9Reusable Terraform patterns
Monthly → WeeklyRelease cadence

Why it matters for your program

If delivery is slowing under manual coordination, the same model applies.

When a migration program stalls on manual coordination, fragmented standards or audit pressure, the factory model transfers. We assess where delivery breaks, design the execution layer, and accelerate with an architect-led delivery pod. Senior judgment on the decisions that carry risk, with trained execution behind a standardized quality gate.