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Proof of scale · 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
2×Pattern throughput in 3 months
−22%Projected cloud spend
100%Audit compliance
9Reusable Terraform patterns
Monthly → WeeklyRelease cadence

Why it matters for a machine maker

The same discipline, sized for a company like yours.

A predictive maintenance service is only as good as the data behind it: reliable, automated and traceable. That is what this programme was built on: reusable patterns, automated delivery, an audit trail by design. VizionEdge applies the same discipline to your service data and your machine data, at your scale.