Modernization Case Study

Legacy Modernization: Monolith to Microservices

Financial Services

The system was business-critical, so a risky rewrite was the wrong starting point. The work needed to reduce deployment pain while keeping the platform available.

Impact snapshot

60%

lower infrastructure overhead

$1.2M+

estimated annual savings

99.99%

uptime during peak periods

Challenge

A decade-old monolithic application ran on bare-metal IIS servers. Deployments required long maintenance windows, scaling was painful, and infrastructure cost kept rising during peak demand.

Solution

We used a strangler-style modernization path, separating high-change domains into .NET services, containerizing workloads, and deploying them to managed Kubernetes with automated release pipelines.

Result

The platform gained zero-downtime deployment capability, better scaling behavior, and a clearer path for incremental replacement of the remaining monolith.

Starting Point

What made the work necessary

We start case study work by separating visible symptoms from the technical and operational causes behind them.

Release windows were slow, risky, and dependent on manual coordination.

The application could not scale individual workloads independently.

Hardware and operational costs were rising while the product became harder to change.

Implementation

How the solution came together

Each case study page shows the practical sequence, not just the finished headline, because delivery quality is in the steps.

Modernization assessment

We mapped domains, dependencies, data flows, deployment steps, and production risk before deciding which areas to extract first.

Service extraction

High-change and high-value capabilities were separated behind stable interfaces while the remaining monolith continued serving existing workflows.

Container and platform setup

Workloads were containerized and deployed through repeatable pipelines to a managed Kubernetes environment with environment-specific configuration.

Operational hardening

Release visibility, health checks, logging, rollback practices, and runbooks were added so the team could own the new platform confidently.

Business impact

Reduced release downtime and created a path to smaller, safer deployments.
Lowered infrastructure cost by scaling services around actual workload demand.
Reduced long-term modernization risk by avoiding a single large rewrite.

Technical decisions

Used incremental service extraction instead of a full replacement project.
Containerized workloads to standardize environments and reduce deployment drift.
Added observability early so operational confidence improved alongside architecture.