What are the most effective strategies for reducing web application load times?

Many aspects have already been covered, and I'd like to contribute a few additional points. 1. Aim to reduce the number of API calls to a minimum. 2. Incorporate Server-Side Rendering (SSR) into your approach. 3. Employ the use of sprites. 4. Opt for the WebP image format for lossless compression. 5. Leverage the preconnect attribute. 6. Utilize async and defer attributes where applicable.

Some ways I've found in my experience to optimize code in order to reduce web application load times are: - Compressing large network payloads - Minifying javascript (usually already done via Webpack or other tools) - Utilizing the cascading nature of CSS - Avoiding duplicate code - Caching on the backend & frontend Backend caching would, for example, store the most commonly requested data & lookup the cached result instead of performing another query. Frontend caching, for example, would involve using CDNs. - Understanding your framework. In React, a goal is to reduce unnecessary re-renders. Memo is a hook that can help (along with other hooks/tools/practices) - Using async & defer on script tags to optimize the first contentful paint

En 5 piliers, je dirais : - Réduire le poids du projet, en optimisant le code et en compressant les images et els fichiers ; - Réduire les requêtes envoyées via un framework Javascript qui par exemple ; - Mettre en place un système de cache efficace ; - Minimiser les outils externes sans palier les objectifs SEO et de sécurité ; - Surveiller le projet via des outils de performances et d'optimisations en ligne ;

Use of appropriate image formats, JPEG is for photographs, PNG for graphic with transparency & SVG for vector graphics. Also use of lazy loading for image optimization and images not immediately visible to the screen.

There are multiple things to take into consideration, first as a developer, you should remove any unnecessary lines making your code clean is essential, Second, reducing the HTTP request is important, as getting the data that is just needed for this page and not calling unnecessary data makes the code much faster , the third thing I would say optimizing image sand adding lazy loading is important and caching the data as well.

1. Compresa and resize images before uploading them to your website. 2. Minimize HTTP Requests by reducing number of elements 3. Use GZIP or Brotii compression 4. Leverage Browser Caching, Server Side Caching, Optimize database server, CDN, Optimize Fonts 5. Reduce redirection

If you have a big project you can consider hosting your assets on a Content Delivery Network (CDN) like AWS CloudFront or other similar services is one effective way to optimize your assets and improve web application load times. CDNs are designed to deliver content quickly by caching it on servers located in various geographic locations. When a user requests a file, the CDN serves it from the server that is closest to the user, reducing latency and improving overall performance.

Also consider optimising database. Optimising database queries, using indexing and consider denormalisation to improve database performance.

Reducing the size of images, scripts, and other media files can significantly impact load times. Employing techniques like image compression, minification of CSS and JavaScript, and utilizing responsive design practices can enhance the efficiency of asset delivery.

Use image compression to reduce file size without compromising quality and implement lazy loading, ensuring that they load only when they come into the user's view. Also implement a CDN.

Caching involves storing copies of frequently accessed resources, reducing the need for repeated requests to the server. Utilizing browser caching and content delivery network (CDN) caching can enhance the speed of loading by serving cached content closer to the user.

To reduce the load time of page requests, we can store all/frequently accessed assets like css, js, and other media (basically all static files) files from CDNs like AWS cloudfront. CDNs offer faster download speeds and higher bandwidths which can serve large number of audience.

1. Reverse Proxy Caching Servers: Solutions like Varnish Cache and Nginx act as reverse proxies and are excellent for caching static content. 2. Content Delivery Networks (CDNs): CDNs like Akamai, Cloudflare, and Amazon CloudFront distribute and cache content across a network of global servers. 3. In-memory Caching Systems: Redis and Memcached are popular in-memory data storage systems that can significantly speed up data retrieval by caching data in RAM. 4. Database Caching Solutions: Some databases have built-in caching capabilities, like MySQL’s Query Cache, or you can use external tools like Oracle Coherence. 5. Application-level Caching: Frameworks like Django for Python, and Laravel for PHP offer their own caching mechanisms.

3 techniques to consider: 1) Implement a server-side caching mechanisms. 2) Employ reverse proxies like Nginx to cache and serve statics. 3) Utilize a CDN to cache and distribute static assets.

Set appropriate cache headers to allow browsers to store static resources locally. Apache example: <IfModule mod_expires.c> ExpiresActive On ExpiresDefault "access plus 1 year" </IfModule> This configuration sets a default expiration time of 1 year for all resources. You can adjust the ExpiresDefault directive based on your caching needs. Utilize versioning in file names (e.g., filename_v1.css) to force browsers to fetch updated resources when changes are made.

Enable Gzip or Brotli compression on the server to reduce the size of transferred data, especially for text-based resources like HTML, CSS, and JavaScript.

Regularly monitoring and measuring web application performance is crucial. Utilize tools and metrics to identify bottlenecks, analyze user behavior, and gain insights into areas that need improvement. This data-driven approach allows for targeted optimizations.

What you cannot measure you cannot solve You have to have clear insights about your solution and every small piece of info will help. You fix something

Clear Performance Metrics: Define specific metrics - page load time, time to first byte, time to interactive, speed index, and user-centric metrics. Utilize Specialized Tools: Employ performance monitors, analyzers, and dashboards for systematic data collection and analysis. Swift Issue Identification: Regular monitoring allows for prompt identification and resolution of performance issues, ensuring optimal user experience. Continuous Optimization: Insights gained from monitoring enable targeted optimizations, contributing to the continuous improvement of the web application. Proactive Issue Prevention: Establish a proactive feedback loop to anticipate and prevent potential performance issues before they impact user experience.

To reduce web application load times, consider optimizing images, leveraging browser caching, minimizing HTTP requests, using a content delivery network (CDN), and employing asynchronous loading for non-essential resources. Additionally, compressing files, optimizing code, and implementing lazy loading can contribute to faster page loads.

1. While creating apps for instance we should take care of reducing redundant Api/logic ?? calls and writing a common solution to numerous problems. 2. Instancing a web application ??, it’s highly recommended to use hooks and to leverage the concept of local storage/cache to prevent overload in component remounts and re renders. 3. Following a pagination based ??approach to fetch huge data in small chunks at a time instead of putting server through a load of fetching all entries at once.

Reduce web application load time by reducing asset sizes ie images, videos, by compressing or using the right image format, defer Javascript scripts so it leads in parallel with html, minify builds, lazy load scripts..

Few additional things to consider: -Implement lazy loading for images and content that isn’t immediately visible on the user’s screen. To speed up initial page load. -Prioritising critical content to load first, such as above-the-fold content, and defer non-essential scripts. -implementing serverless computing for parts of our application to scale automatically and efficiently handle varying workloads. -Using asynchronous loading for non-essential content and leveraging preloading for critical assets. -Transforming web app into a PWA for a smoother, more app-like experience to users. -Bundling assets to minimize round trips and reduce loading times.

Monitoring and measuring should be the number 1. That's how you can find where the bottleneck is. It could be a long processing request due to inefficient code (tip #1), maybe you're getting too many records from DB (caching or pagination could help), or perhaps you have an N + 1 query. The only way to know is by measuring. Without measuring, it's worthless. Moreover, if something is slow but is called once a year, optimizing it doesn't matter.