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I began writing this article in early July 2023 but began to feel a little underwhelmed by it and so left it unfinished. Caching them at the other end: How long should we cache files on a user’s device? in this article. Cache This is the easy one. What is the availability, configurability, and efficacy of each? ?️
A classic example is jQuery, that we might link to like so: There are a number of perceived benefits to doing this, but my aim later in this article is to either debunk these claims, or show how other costs vastly outweigh them. Users might already have the file cached. Penalty: Caching. Myth: Cross-Domain Caching.
Performance Game Changer: Browser Back/Forward Cache. Performance Game Changer: Browser Back/Forward Cache. With that caveat out of the way, let’s get to the guts of the article: What is the Back/Forward Cache and why does it matter so much? Didn’t The HTTP Cache Do All That Anyway? Barry Pollard.
These intermediates fall outside of the scope of this article, but if you’ve ever run a traceroute , you’re on the right lines. That’s exactly what this article is about. Interestingly, 304 responses are still a form of redirect: the server is redirecting your visitor back to their HTTP cache. How Can I See RTT Information?
Time To First Byte: Beyond Server Response Time Time To First Byte: Beyond Server Response Time Matt Zeunert 2025-02-12T17:00:00+00:00 2025-02-13T01:34:15+00:00 This article is sponsored by DebugBear Loading your website HTML quickly has a big impact on visitor experience. But actually, theres a lot more to optimizing this metric.
We are explicit about our dependencies, so we know what code we need to run to run a specific component. Lazy-loading and bundle splitting can have a huge impact on page performance: less code requested, parsed, and executed. The article will be using Preact/React, yet the ideas can be applied to any other component library.
On the Android team, while most of our time is spent working on the app, we are also responsible for maintaining this backend that our app communicates with, and its orchestration code. Image taken from a previously published blog post As you can see, our code was just a part (#2 in the diagram) of this monolithic service.
In fact, Google Analytics even tell us what to do, and they’re right: Copy and paste this code as the first item into the of every webpage you want to track. This article is getting way, way more forensic than I intended. For further detail on this method of linking CSS, I would recommend reading Jake’s article on the subject.
What if another file on the critical path had dropped out of cache and needed fetching from the network? We can take reasonable measures (always refresh from a cold cache; throttle to a constant network speed), but we can’t account for everything. This next example was the motivation for this whole article. Signal vs. Noise.
We are explicit about our dependencies, so we know what code we need to run to run a specific component. Lazy-loading and bundle splitting can have a huge impact on page performance: less code requested, parsed, and executed. The article will be using Preact/React, yet the ideas can be applied to any other component library.
But its underlying goal is quite humble and straightforward: it wants to enable you to observe an IT system (for example, a web application, infrastructure, or services) and gain insight to its behavior, such as performance, error rates, hot spots of executed instructions in code, and more. Those are prime candidates for their own spans.
This article is the twelfth part in a series about named table expressions. I also compare them with stored procedures, mainly focusing on differences in terms of default optimization strategy, and plan caching and reuse behavior. In my examples I’ll use a sample database called TSQLV5. CREATE INDEX idx_nc_cid_odD_oidD_i_eid ON Sales.
Since that presentation, Pushy has grown in both size and scope, and this article will be discussing the investments we’ve made to evolve Pushy for the next generation of features. For more background on Pushy, you can see this InfoQ talk by Susheel Aroskar. It served Pushy’s needs well for many years.
Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. How will you serve blazingly fast code, then? Jamstack is popular with documentation sites that usually compile code to HTML files and host them on the CDN. Active Memory Caching. Caching Schemes.
You’ll also find example code or references to more specific guides so you can implement these tips to your PWA. The service workers enable the offline usage of the PWA by fetching cached data or informing the user about the absence of an Internet connection. Cached content with IndexedDB. Skeleton screen examples on Code My UI.
If you think that static rendering is limited to generic, public content that is the same for every user of your website, you should definitely read this article. The witty jokes in each article are only visible to paid users. If anything makes the JavaScript code fail, the paid user won’t have their dose of fun and might get angry.
However, there are a few ways in which you can make a large code-base easy to maintain. In this article, we will discuss a few of those techniques as well as some of the things I wish I had known earlier to help manage large Next.js In certain cases, the build will fail if there are type mismatches in your code as Next.js
Without build optimizations (incremental builds, caching, we will get to those soon) this will eventually become unmanageable as well — think about going through all images in a website: resizing, deleting, and/or creating new files over and over again. It is not possible to ship code incrementally.
Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. One of the reasons for that is because a PWA has the same code base. So unlike the case with native applications, the progressive web app needs to be coded only once. Alex Husar.
The output of the code above would be the following: WeakMap {{…} => 'done'} man = null; console.log(human). The object is retained in memory and can be accessed with the following code: console.log(human[0]). let human = new WeakMap(): // Create an object, and assign it to a variable called man. It keeps the object in memory.
In this article, we’re going to learn how to handle real-time updates on the client-side using GraphQL. We’ll be learning how to do this with GraphQL Features like Cache Update, Subscriptions, and Optimistic UI. Let’s get right into the code. Updating the cache directly using update function on the useMutation.
Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.
If you’ve ever tried to build a web application that is completely offline first, you’ll know how tricky it can be to make changes to the users cache when you do make updates to the site and the user has connectivity. You’ll also learn how to refresh the page, so that the user is up to date and has the latest version of any cached files.
This article goes over some background on the project, why we created it, and how you can use it to monitor your own network. The gRPC code is auto-generated from the gNMI protobuf model and gNMI carries the data modeled in OpenConfig, which has some encoding. As mentioned earlier, we wanted to use existing code whenever possible.
There was something gratifying in taking a code that takes minutes to run and make it run in a handful seconds. Normally the team decides how well to cover and test the code, and it’s important that all developers in a team know how to write tests. That way you won’t merge nor deploy code that decreases the performance.
For this article, that’s all we’ll need to start exposing the value and leave other more specific articles to go deeper. There are a handful of different entry subtypes but, for the scope of this article, we will be concerned with the PerformanceResourceTiming and PerformanceNavigationTiming subtypes. More after jump!
How To Fix Largest Contentful Issues With Subpart Analysis How To Fix Largest Contentful Issues With Subpart Analysis Matt Zeunert 2025-03-06T10:00:00+00:00 2025-03-06T14:50:25+00:00 This article is sponsored by DebugBear The Largest Contentful Paint (LCP) in Core Web Vitals measures how quickly a website loads from a visitors perspective.
It's hardly any code. , The page encourages you to hotlink the script, which means possible cache-hits in case you've already visited a page using this. Direct Link to Article — Permalink The post instant.page appeared first on CSS-Tricks. This new project makes use of newer tech to get it done.
In this article, we will go through how to optimize and build a high-performance Next.js If you’re a developer looking to optimize applications and create reuseable components across applications effectively, this article will show you how to quickly scale your applications, and how to work with Nx. Optimizing Next.js Optimizing Next.js
Apart from library code, maybe your application doesn't have frame pointers either, in which case everything is broken. Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway.
The code for the site is available on GitHub for reference. In that spirit, what we’re looking at in this article is focused more on the incremental wins and less on providing an exhaustive list or checklist of performance strategies. Having a slow site might leave you on page 452 of search results, regardless of any other metric.
In this article, I will highlight a few core features that every headless CMS should provide. All functionality and integrations would also have a tight dependency which in turn results in a large, cumbersome monolithic code base. Comprehensive documentation and code samples are also a must. Custom domain capabilities.
This article is sponsored by Storyblok. But if you’re worried that you’re not getting the performance you expected because of large, poorly optimized images, don’t worry because that’s what you’re reading this article for! Cache Your Images. A Guide To Image Optimization On Jamstack Sites. Alba Silvente.
Parameter embedding means SQL Server replaces parameter references in the query with the literal constant values from the current execution, and then the code with the constants gets optimized. You can find a practical application of this technique in the article Number series generator challenge solutions – Part 1. So, let’s try….
Learn how to properly design RESTful APIs communication with clients, accounting for request structure, authentication, and caching. This series of articles shows you how to derive an easy-to-use, robust, efficient API to serve users on the web or on mobile devices. We are using the principles of RESTful architecture over HTTP.
This article is part of a series in which I attempt to use the web under various constraints, representing a given demographic of user. MB , that suggests I’ve got around 29 pages in my budget, although probably a few more than that if I’m able to stay on the same sites and leverage browser caching. Chris Ashton. Large preview ).
This article is intended to be used as a primer for managing complex states in a Next.js Unfortunately, the framework is way too versatile for us to cover all possible use cases in this article. It would be beyond the scope of this article to suggest when to use one or another, so let’s keep it simple by saying: useState.
An example plan shape showing a lazy table performance spool is below: The questions I set out to answer in this article are why, how, and when the query optimizer introduces each type of performance spool. For more details, please see my linked article. When a spool is able to replay cached results, this is known as a rewind.
iOS empowers developers to easily parallelize code using Grand Central Dispatch , Android does this via their new, unified task scheduler WorkManager and game engines like Unity have job systems. How long your piece of JavaScript takes to finish depends on how fast the device is that your code is running on.
Recently Noam Rosenthal published two articles analyzing the common benefits and capabilities provided by various frameworks , and also their associated costs. I highly recommend checking out these articles. For this article, I primarily rely on insights gained from analyzing data presented using the Core Web Vitals Technology Report.
They all generally are instrumented as JavaScript processes that are loaded onto your site’s web pages through a tag or snippet of loader code. A natural language translation service presenting a news website article translated from English to Japanese. Search Engine And Web Archive Cached Results. Large preview ).
In the first article , we talked about how to identify the URL and HTTP method pairs we would need to implement the server-side API for the application. Then, in the second part , we explored how our server should react to incoming requests and communicate its state with status codes.
It’s not just source code for the configuration, models, views, and templates, but also static assets: CSS and JavaScript, images, icons. Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. Philip Kiely. Static Files.
In this second article, I’ll go over some key technical highlights from the project. In the first article, I briefly discussed the technical stack that includes a React-based front-end framework, Next.js Definitely read up on the strategy and reasoning behind this stack in the first article if you missed it.
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