In IT, we’re living in siloed ecosystems. As JavaScript developers, we invent ideas and create tools that are unheard of in other siloes, even though they might be applicable elsewhere. Similarly, sometimes we don’t learn about good ideas we might apply to our work, just because they originated in some other language’s ecosystem.
The journey of every developer eventually leads to a point where their latest feature appears to be sluggish. This marks the ideal moment for optimization, a process that can be time-consuming, prone to numerous errors, and, in the end, potentially slow down the entire program. We know something about it because in ShareTheBoard, a web application designed for image processing using neural networks., we encountered almost every optimization pitfall. Furthermore, we have finally achieved success, allowing us to rent about what an effective optimization process should look like, the obstacles you may encounter when implementing machine learning models into the web world, and how to squeeze out the last drops of performance from a web browser.
We'll look at techniques to efficiently and quickly process large data files using Node.js and why this might be necessary. In the process, we'll talk about streams, choose the appropriate data format, and discuss the nuances of how such applications work.
Join me to explore the history of JavaScript's module systems, starting from CommonJS through RequireJS and AMD, and ending with today's ES Modules. We'll examine why these systems were developed, how they differ, and their impact on both browser and Node.js environments. Finally, I'll offer a glimpse into where module handling in JavaScript might be headed next.