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Mobile Credit Platform Revamp and AWS Cost Optimization in 3 Months

Mobile Credit Platform Revamp and AWS Cost Optimization in 3 Months

BFSI, Software products, Lending
Golang, AWS, Mobile, MongoDB

About the Customer

The Customer is a Singapore-based fintech startup focused on developing innovative credit and banking products. Driven by the mission to enhance global accessibility and affordability of financial services, the Customer continuously expands its fintech product portfolio to ensure convenient consumer journeys to financial independence.

The Need to Accelerate Time-to-Market

The Customer wanted to build an AWS-based credit platform and a user-facing iOS app for middle-income consumers across the underserved emerging markets in MENA. Due to the project scale and complexity, the Customer needed additional IT talents to cover parts of back-end development, mobile development, and DevOps operations to speed up the app’s launch. The company was looking for an AWS consulting and team augmentation services provider with a vast talent pool and proven expertise in fintech software development.

Mobile Development, Platform Integration, and Infrastructure Automation

As a reliable partner with decades of experience in the relevant tech domains and a proven track record in lendtech, ScienceSoft was chosen to carry out the project. During the cooperation, ScienceSoft’s talents were engaged in the following activities:

iOS app code audit, performance testing, and development

ScienceSoft’s Flutter and Dart developers audited the credit app’s code and fixed the detected UI and app logic bugs to ensure smooth user journeys. In addition, the team tested the application using Firebase Crashlytics to quickly detect and resolve its stability issues. ScienceSoft’s talents also took part in implementing the functionality for borrower self-registration, identity verification, and automated generation of loan applications.

Credit platform integration with an activity monitoring system

ScienceSoft’s Golang developers helped integrate the lending platform with Datadog to enable activity logging, monitoring, and tracing according to the Customer’s requirements. For the Customer, it means getting full insight into the platform users’ actions and timely detecting malicious manipulations.

Migration to the new AWS region and development automation

Working closely with the Customer’s team, ScienceSoft’s DevOps engineers performed the credit platform’s migration to another AWS region. The team set up CI/CD pipelines to facilitate app releases in the new region, deployed AWS Lambda functions in Kubernetes to streamline container configuration, created and implemented Helm charts for facilitated management of a containerized app. In the new AWS cloud, the team incorporated the infrastructure-as-code approach to automate cybersecurity and the provisioning of infrastructure resources.

Development infrastructure cost optimization consulting

ScienceSoft’s AWS-certified DevOps expert advised the Customer on how to reduce AWS service costs without compromising the development infrastructure performance, stability, and security. The expert helped the Customer’s in-house team apply the new approach to promptly drive the expected cost savings.

Fast Product Launch and IT Cost Reduction

With ScienceSoft’s help, the Customer managed to perform smooth AWS migration, resolve the loan application’s code bugs, and implement the new app functionality in just 3 months. ScienceSoft’s proactive advice on AWS cost optimization opportunities and prompt implementation of the required steps helped the Customer decrease the infrastructure-related expenses and substantially reduce the time-to-market for its product.

Techs and Tools

Golang, Flutter, Dart, Amazon Cognito, Amazon DynamoDB, AWS Lambda, Kubernetes, Helm, Datadog, Argo CD, Terraform, Firebase, GraphQL, gRPC, MongoDB.

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