Global Insurance Firm

Our client is one of the largest health insurers and wellness companies in the US, serving close to 15 million medical members through a nationwide network of health plans and services. It employs more than 67,000 people and generates upward of $129 billion in annual revenue, numbers that show how much depends on its technology staying up, fast, and secure.

At the center sat a 45 TB on-premises MongoDB cluster supporting a wide range of business-critical applications. As part of a broader cloud modernization push, the company decided to move this database infrastructure to MongoDB Atlas, seeking better scalability, stronger availability, and less manual infrastructure management.

The complexity lay in what depended on that cluster: thirty three applications, twenty five in Java, five in .NET, and three customized off-the-shelf systems, all connected directly to the on-premises database via
LDAP authentication. Touch the database, and every application feels it. The client needed a migration approach that minimized application code changes, allowed controlled rollouts, and kept a rollback path open at every step. They also needed an automated way to validate application behavior and measure latency before and after the move, rather than take it on faith.

Tech Stack:

• Database: MongoDB Atlas
• Migration: Mongo Sync
• Backend: Java, Spring Boot
• Configuration Management: HashiCorp Vault
• Performance Testing: Apache JMeter
• Regression Testing: Gatling
• Utility Development: Java
• Authentication: LDAP (source), Atlas Authentication