AZRUT modernizes a legacy claims platform and cuts production releases from weeks to days.

Leading Insurance Group

.NETNode.jsPostgreSQLAWSDockerKubernetes
Leading Insurance Group

About Project

A regulated insurer ran policy and claims on a monolith with risky releases and slow change. AZRUT embedded engineers to plan a phased modernization, extract APIs, migrate to cloud, and cut over without disrupting live claims processing.

Project Details

Industry
Insurance & Financial Services
Duration
6 months
Team Size
8 Members
Location
North America
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Challenge

Core claims logic lived in a decade-old monolith with brittle deployments and no clear service boundaries. Every release needed weekends, regression cycles dragged for weeks, and product teams could not ship integrations without touching shared code. Leadership needed a modernization path that kept claims live while moving to APIs and cloud infrastructure.

Solution

AZRUT assessed the estate, defined a strangler-fig roadmap, and extracted high-change domains behind REST APIs. We introduced CI/CD, migrated workloads to AWS, reconciled data in parallel runs, and executed a phased cutover with rollback plans so operations stayed stable through each wave.

Service Provided

Modernization roadmap & architecture
API extraction & microservices build
Cloud migration & CI/CD
Data migration & reconciliation
Cutover, testing & security hardening
Hypercare & ongoing support
Outcome

Final Outcome

The group moved critical claims paths off the monolith with measurable delivery gains. Teams ship on weekly cadence instead of quarterly freezes, integrations use stable APIs, and operations report fewer severity-1 incidents during release windows.

-70%
Release lead time
-45%
Production incidents
8
Services migrated

Implementation Process

How do we Implement the Project?

The development sprints are the key to the success of the project. They are the milestones that we follow to ensure the project is on track and to the satisfaction of the client.

1
Month
  • Requirements Analysis & Modernization Planning
  • Assessed the monolith, mapped claims flows, and defined phased targets, APIs, and cutover criteria.
2
Month
  • API Extraction & Service Boundaries
  • Extracted claims and policy services behind APIs with contracts, auth, and observability baselines.
3
Month
  • Cloud Platform & CI/CD
  • Stood up AWS environments, pipelines, and infra-as-code so teams could deploy safely on demand.
4
Month
  • Data Migration & Parallel Run
  • Migrated historical data, ran dual-write checks, and reconciled discrepancies before cutover windows.
5
Month
  • Cutover, Testing & Security Hardening
  • Executed phased cutover with load tests, penetration fixes, and rollback drills for peak claim volume.
6
Month
  • Hypercare & Ongoing Support
  • Provided hypercare after launch, tuned performance, and handed runbooks to the internal platform team.

Technology Stack

We Used Modern stack, maintainable architecture

We choose technology based on product needs, delivery speed, scalability, security, and maintainability

  • .NET
  • Node.Js
  • PostgreSQL
  • AWS
  • Docker
  • Kubernetes
  • Terraform

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