Troubleshooting Tips

Handling large datasets efficiently in Node.js can be challenging, especially when processing millions of records from a database or API. One common problem is running out of memory due to inefficient handling of streaming data, leading to application crashes and performance degradation.

Webpack is a powerful module bundler, but its performance can degrade significantly in large-scale projects. One common yet rarely discussed issue is extremely slow rebuild times in Webpack’s development mode, especially when working with large monorepos or microfrontend architectures.

Svelte is a modern front-end framework that shifts much of the heavy lifting from runtime to compile time. While it offers superior performance and a simpler development experience compared to React or Vue, some rare but complex issues arise when dealing with advanced component state management, especially when using store and $ reactive declarations.

Scikit-learn is a powerful machine learning library in Python, widely used for classification, regression, clustering, and preprocessing. However, when working with large datasets and complex models, users may encounter memory leaks and performance bottlenecks that are difficult to diagnose.

Laravel is a powerful PHP framework used for building scalable web applications. However, developers occasionally encounter a rarely discussed but critical issue: memory leaks and performance degradation in long-running Laravel jobs and queue workers.

Postman is widely used for API testing, but when working with complex authentication mechanisms such as OAuth 2.0, JWT, or API key rotation, users often encounter issues with token expiration, invalid authorization headers, or unexpected authentication failures.