/plushcap/analysis/mongodb/mongodb-post-automating-away-how-oakbrook-finance-runs-likely-loans-microservices-mongodb-atlas

Automating away IT operations: How Oakbrook Finance runs Likely Loans on Microservices and MongoDB Atlas

What's this blog post about?

Oakbrook Finance, a UK-based consumer finance business specializing in providing loans to people with poor credit history, has automated its IT operations using Microservices and MongoDB Atlas. The company faced challenges managing various data sources, creating an Intelligent Scorecard for loan applicants, and ensuring security and compliance of sensitive customer data. By adopting MongoDB as their database in 2013, they were able to handle the variety of data effectively and build sophisticated machine learning models for risk assessment. However, managing the infrastructure manually became a challenge as the business scaled. To address this issue, Oakbrook upgraded to MongoDB Atlas, which automates many operational tasks such as backups, monitoring, and performance optimization. This move not only helped them scale but also strengthened their security posture in compliance with regulations like GDPR. The company is now transitioning from a monolithic code structure to a microservices architecture, enabling faster development and deployment of new features while maintaining customer focus.

Company
MongoDB

Date published
April 2, 2019

Author(s)
Alexandra Loh

Word count
1162

Hacker News points
None found.

Language
English


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