Code Refactoring and AWS Migration to Boost Callbot SaaS Scalability

About Our Customer

The Customer is a European provider of callbot software. It offers a highly efficient web-based SaaS which allows users to initiate up to three cold calls per second. To facilitate call routing, self-service options, and customer interaction management, the software employs interactive voice response (IVR).

Low-Quality Code and Lack of Scalability

The Customer’s callbot SaaS product was outdated and required comprehensive refactoring to enhance the code’s readability, maintainability, and performance. The company also wanted to migrate the redeveloped software to the cloud to improve its scalability.

SaaS Migration to AWS and Comprehensive Code Enhancement

Trusting ScienceSoft’s expertise in app modernization and cloud migration, the Customer reached out to us for SaaS refactoring.

Within eight months, our team refactored the code, fixed existing bugs, and migrated the software to the cloud.

Code refactoring

To improve the code quality, ScienceSoft’s team:

• Analyzed the existing Node.js and React.js codebase to identify its inefficiencies. For instance, data queries involved excessive round trips, and rendering in React components lacked optimization.
• Redesigned the SaaS architecture by transitioning to microservices for enhanced code maintainability.
• Reviewed the legacy dependencies and replaced some with more efficient alternatives. For example, we migrated from an older ORM library to Sequelize to improve query performance and enable support for modern database features such as advanced indexing and transaction handling.
• Standardized naming conventions and enhanced code documentation for improved code readability, updateability, and scalability.
• Optimized data retrieval and processing algorithms using asynchronous patterns in Node.js for enhanced app scalability.
• Restructured React.js components to enhance user experience and front-end performance.
• Conducted rigorous unit testing and integration testing to ensure that each code modification adhered to functional requirements and that no new bugs appeared during the refactoring.

Defect identification and remediation

ScienceSoft’s team focused on spotting and resolving critical issues that impacted the app’s performance and user experience. The defects were mainly related to data processing, API interactions, and UI functionality.

Our QA engineer examined the code segments prone to race conditions and memory leaks, paying particular attention to asynchronous operations in the Node.js environment. We employed logging mechanisms to trace the data flow and identify points of failure for targeted bug resolution. Our developer implemented fixes within the data processing modules:

• Corrected data validation algorithms.
• Introduced data consistency checks.
• Enhanced the app’s communication logic and optimized data serialization and deserialization processes essential for reliable API data exchange and error-free response handling.

In addition, ScienceSoft replaced redundant or deprecated libraries with their updated versions to eliminate compatibility issues. Finally, the QA specialist validated bug fixes through unit and end-to-end testing and confirmed that the software maintained its functionality.

Cloud migration

ScienceSoft migrated the revamped SaaS to AWS to optimize the app’s utilization of computing resources, dynamic scalability, and performance. With this in mind, we chose the following cloud-native services: AWS Lambda – for serverless computing, Amazon S3 – for scalable storage, and AWS EC2 – for virtual machine deployment. To make deployments consistent, we used several containerization technologies, with Docker being the primary one. For improved data accessibility, our team moved the SaaS database to Amazon Aurora MySQL.

Our QA engineer relied on unit and end-to-end testing to validate the app’s functionality in the cloud environment, ensuring a seamless and resilient user experience.

Highly Scalable SaaS with Clean Code Ready in 8 Months

The Customer fully resolved the code quality issues in its callback software product and smoothly migrated it to the AWS cloud within eight months. The revamped app shows high availability and stable performance, enabling a frictionless user experience even under high loads. Due to a strategic migration to the cloud, the app also ensures optimal computing resource utilization and dynamic scalability. This minimizes cloud fees and reduces SaaS maintenance costs for the Customer.

Technologies and Tools

Node.js, React.js, Sequelize, Docker, AWS Lambda, Amazon S3, AWS EC2, Amazon Aurora MySQL.