Frameworks and Libraries

Vuex, the official state management library for Vue.js, is widely used in enterprise-scale applications where predictable state handling is essential. While it offers a centralized store and strong patterns, large deployments often encounter complex troubleshooting issues. These problems range from unexpected state mutations, memory leaks due to improper subscriptions, performance degradation with large stores, and debugging difficulties when scaling across multiple modules. Unlike simple to-do app examples, enterprise Vuex usage requires architectural discipline and awareness of pitfalls. This article explores root causes behind such issues, diagnostic approaches, and durable solutions that help senior engineers, architects, and tech leads maintain scalable and stable state management in production systems.

Lodash is one of the most widely used utility libraries in modern JavaScript applications, powering everything from frontend frameworks to backend Node.js services. While its API seems simple, large-scale systems often run into subtle issues such as deep clone inefficiencies, prototype pollution risks, and memory leaks from improper use of memoization. These problems rarely occur in small-scale apps, but at enterprise scale, they can lead to performance regressions, security vulnerabilities, or architectural debt. This article explores advanced troubleshooting strategies for Lodash in production-grade environments, providing diagnostics, architectural considerations, and long-term best practices.

RxJS, the Reactive Extensions library for JavaScript, is widely adopted in enterprise-scale applications to handle asynchronous data streams. Its power lies in declarative event handling, yet with this power comes complexity. One of the most challenging issues in production systems is memory leaks caused by mismanaged subscriptions. Unlike simple bugs, RxJS leaks accumulate silently under high concurrency and long-lived sessions, eventually degrading application performance. For architects and tech leads, understanding these subtle pitfalls is critical to preserving scalability, user experience, and infrastructure costs in reactive applications.