To optimize web app performance, balance front-end and back-end priorities strategically. Focus on responsive design to enhance user experience and reduce load times. On the back end, optimize server performance with caching, load balancing, and efficient database queries. Regularly review and refactor code on both ends to ensure it remains clean and efficient, minimizing bugs and maximizing speed. By addressing both layers cohesively, you can deliver a high-performing application that meets user needs.

Honestly, balancing front-end and back-end stuff is all about figuring out where users feel the most friction. Start with the basics, like lazy-loading images or making sure pages load quickly on the front-end. On the back-end, you’ve got to optimize database queries and maybe set up caching to handle heavy traffic without crashing. It’s also super important to keep communication open between teams, so APIs are efficient and data flows smoothly. Use tools like Lighthouse or performance trackers which help spot what’s slowing things down. It’s not really about picking sides, it’s about making everything work together. What do you think?

Striking a balance between front-end and back-end optimization is crucial for delivering high-performance web applications. Prioritize Front-End Optimization: Minify and Compress: Reduce file size for faster loading. Optimize Images: Compress and resize images. Leverage Browser Caching: Store static assets locally. Reduce HTTP Requests: Combine and minimize files. Optimize Critical Rendering Path: Prioritize essential content. Back-End Optimization: Database Optimization: Efficient queries and indexing. Server-Side Rendering (SSR): Improve initial page load. Caching: Reduce server load and response time. Content Delivery Network (CDN): Distribute content globally. Optimize API Calls: Minimize requests and data transfer.

1. Try not to use any components library. 2. As I am familiar with graphql, We can use raw queries to improve the backend performance 3. Improve your pipeline to handle the scale users. Use the horizontal scalling method. 4. Remove the unnecessary code and use chat gpt to help you improve your code logic

You only become torn when you’ve abstracted yourself away from the metal too far. So get back closer to it, starting with the back end. The back end: reduce frameworks, reduce query complexity into smaller simpler pulses and use RAM to data-merge into preferred data structures, cache, load balance. More functional, less OOP. The front end: Clarify what is container and what is content, separate views for context vs goal, waiting for input vs waiting for data fetch, and keep it flat and telling. Few to no additional frameworks. Use native OS libraries. Avoid monolith asynchronous god-views and transition animations. More substance, less whiz-bang. If your 2024 app wouldn’t run in 2005, it’s too heavy Retire PWAs. Target multi-binaries.

To optimize web app performance effectively, I focus on minimizing resources (e.g., minifying CSS/JS, compressing images), leveraging caching, and implementing lazy loading for critical assets. On the server side, I optimize database queries, use caching layers like Redis, and ensure efficient API design with compressed responses and pagination. Scalability is handled via load balancing and autoscaling, while real-time monitoring tools like Google Lighthouse help identify bottlenecks. For front-end and back-end alignment, I prioritize modular, clean code, responsive design, and collaborative efforts between teams, ensuring both layers work seamlessly to deliver a fast, efficient user experience.

- Set Clear Goals: Define performance benchmarks for both front-end (load time, responsiveness) and back-end (API latency, server uptime). - Analyze Bottlenecks: Use tools like Lighthouse for front-end and APM tools like New Relic for back-end. - Optimize Front-End: Minify assets, implement lazy loading, and use a Content Delivery Network (CDN) for faster asset delivery. - Streamline Back-End: Optimize database queries, enable caching, and use efficient algorithms. - Monitor Dependencies: Reduce third-party scripts and ensure API endpoints are efficient. - Implement CI/CD: Automate testing and deployments for both ends to maintain balance and quality. - Collaborate: Foster clear communication between front-end and back-end teams

Even though optimization is an NFR, it directly impacts UX. I think the best way to approach this is by focusing on what matters most to the end user. For instance, if users care about frontend speed, prioritize reducing bundle size, optimizing images, and implementing lazy loading. On the other hand, if backend performance is critical, focus on faster db queries, caching, and scalable APIs. It's all about balancing both sides, but starting with the area that has the biggest impact on the user's needs.