Fintech firm · Fintech · Cloud Modernization
Re-platforming a fintech from single-instance Windows to scalable containers
We modernized a fintech firm’s infrastructure from a large single-instance Windows deployment to a scalable, distributed containerized platform on Azure, with observability built in so the team could deliver and monitor production with confidence.
- Challenge
- The firm ran on large single-instance Windows infrastructure that could not scale to handle growing load or support distributed processing.
- What we did
- We re-platformed onto Azure Container Apps and Container App Jobs for elastic, distributed workloads, and added observability across the stack to give the team clear visibility into production.
- Outcome
- The platform now scales to support higher load and distributed systems, and the team has the observability to deliver and monitor production reliably.
The problem
A single large Windows instance is a perfectly reasonable place for a system to start, and a difficult place for it to stay. Capacity is bounded by one machine, work cannot be distributed, and every deployment carries the risk profile of touching everything at once.
For a fintech that becomes a business constraint rather than a technical inconvenience. Load grows, batch work competes with interactive work for the same resources, and there is no straightforward way to scale one without disturbing the other.
What we built
We re-platformed onto Azure Container Apps for the elastic services and Azure Container App Jobs for the distributed batch workloads. Splitting those two concerns is the core of the change: the long-running processing no longer contends with request-serving, and each side scales on its own terms.
We added observability across the stack at the same time rather than afterward. Moving to a distributed architecture without visibility trades one problem for a harder one, because failures stop being obvious and start being intermittent. The team needed to be able to see production before they could be expected to run it.
Technologies used
- Azure
- Azure Container Apps
- Azure Container App Jobs
- Containers
- Distributed processing
- Observability tooling
What we would tell you
The decision that matters in this kind of re-platform is usually not the container runtime. It is separating workload types that were sharing a machine because they happened to start there.
Observability is part of the migration, not a follow-up ticket. Distributed systems are only more reliable than a single instance if you can tell what they are doing.
This case study is anonymized to respect client confidentiality. We describe the problem, the work and the technology honestly, and we do not publish outcome metrics we cannot stand behind.
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