Case Studies | FinTech

Cutting cloud migration from weeks to days

Cloud Migration Accelerator

About

A FinTech business working with Cloud Combinator on AWS. The client is anonymised at their request.

Challenge

The solution addresses four focus areas that repeatedly stall migrations from Azure or Google Cloud Platform to AWS.

Slow refactor cycles

Manual application refactoring typically takes two to three weeks per application, blocking go-live milestones and consuming scarce engineering time. At portfolio scale, that cadence is the difference between a migration that lands this quarter and one that slips repeatedly.

Dual-run cost burn

Running source and destination cloud environments in parallel throughout a transition creates significant, ongoing cost exposure for the full duration of the migration, so every week saved on cutover is money saved.

Hidden source-cloud dependencies

Software development kit calls, authentication flows, SQL dialect differences and messaging patterns frequently cause cutover failures that are discovered late, when they are most expensive to fix.

Limited engineering capacity

Customer engineering teams are usually overloaded by refactoring work, which delays the core product roadmap and creates opportunity cost across the business.

Solution

Cloud Combinator and the client deliver the accelerator as a repeatable twelve-week programme, built around proven acceptance gates and executive sign-off at each stage.

2-3 days

Targeted cutover per application, vs 2-3 weeks (illustrative)

60-80%

Targeted automated refactoring rate (illustrative)

70-80%

Targeted reduction in customer engineering hours (illustrative)

By the numbers:

2-3 days - Targeted cutover per application, vs 2-3 weeks (illustrative)
60-80% - Targeted automated refactoring rate (illustrative)
70-80% - Targeted reduction in customer engineering hours (illustrative)

Changes

The accelerator is packaged around a set of target business outcomes, measured from a baseline captured in the first two weeks and tracked in monthly executive scorecards. The figures below are illustrative ranges from the delivery framework, marked accordingly, and will vary by customer, estate size and engagement scope.

Faster throughput — The framework targets 8 to 12 applications migrated per month at the 90-day mark, against a typical 3 to 5, rising toward 12 to 18 over twelve months. These are illustrative targets.
Lower dual-run cost — By compressing cutover timelines, the approach aims to cut dual-run periods by 30 to 60 percent, reducing the parallel-running cost exposure that dominates migration budgets.
Higher reliability — Blue-green and canary cutovers with DORA-metric tracking target a change failure rate of 10 percent or less at 90 days, improving toward 5 percent or less over twelve months.
Privacy by default — The analyser runs in-VPC with read-only IAM roles and no source-code exfiltration, keeping the approach non-invasive and audit-friendly.
Handover — Each engagement is designed to leave the customer with an executive scorecard, portable pull requests and difference reports, a rule library in versioned repositories, and a next-wave roadmap.

With the solution registered on AWS and packaged as a repeatable twelve-week pilot, Cloud Combinator and the client are positioned to take mid-market and enterprise estates off Azure and Google Cloud Platform and onto AWS faster, with automated transformation and AWS-native delivery run as a single integrated programme.

AWS Stack

AWS IAM

And AWS Secrets Manager for least-privilege access and secrets handling.