Angular Performance Optimization Through Automation: A Study on Best Practices, Real-Time Data Management with AG Grid, and the Role of Continuous Integration in Front-End Development

Abstract

Angular is one of the most popular frameworks for building dynamic single-page applications (SPAs), offering developers a robust set of tools to create complex user interfaces and manage state efficiently. However, as applications grow in complexity, performance can become a significant concern. This paper explores the optimization of Angular applications through automation, with a focus on three critical areas: best practices for performance enhancement, real-time data management using AG Grid, and the integration of continuous integration (CI) pipelines in front-end development. The study begins by discussing common performance bottlenecks in Angular applications and the best practices to mitigate them, such as lazy loading, change detection strategies, and ahead-of-time (AOT) compilation. It then delves into the use of AG Grid, a highly performant grid solution, for managing and displaying large datasets in real-time. AG Grid's features like infinite scrolling, virtual DOM, and efficient data binding are analyzed in the context of real-time data-intensive applications. The final section examines the role of CI in automating the testing and deployment processes, ensuring that performance optimizations are consistently applied across development cycles. By integrating CI with Angular applications, developers can automate performance testing, code quality checks, and deployment processes, thereby reducing the likelihood of performance regressions and enhancing the overall stability of the application. This paper concludes with a synthesis of these practices, highlighting how automation in Angular development can lead to significant performance gains, reduced manual errors, and improved developer productivity.