Articles

Contrôle de Congestion dans les Systèmes Distribués à l'Échelle du Cloud

Le contrôle de congestion dans les systèmes distribués à l’échelle du cloud est un sujet important pour assurer des performances optimales. Nous allons examiner comment le contrôle de congestion peut être mis en œuvre dans ce type de système.

Systèmes distribués composés de plusieurs systèmes reliés pour fournir une fonctionnalité spécifique

Testing is a key part of distributed system development. It is used to measure the performance of the system under various conditions. The tests should be designed to simulate the expected traffic surges and should be run frequently to ensure that the system is performing as expected. The results of the tests should be analyzed to identify any potential issues and to ensure that the system is able to handle the expected traffic surges. 

Les systèmes distribués sont composés de plusieurs systèmes reliés entre eux pour fournir une fonctionnalité spécifique. Les systèmes qui fonctionnent à l’échelle du cloud peuvent recevoir des pics de trafic attendus ou inattendus d’un ou de plusieurs appelants et sont censés fonctionner de manière prévisible. 

Cet article analyse les effets des pics de trafic sur un système distribué. Il présente une analyse détaillée de la façon dont chaque couche est affectée et fournit des mécanismes pour obtenir une performance prévisible pendant les pics de trafic. 

Le test est une partie essentielle du développement des systèmes distribués. Il est utilisé pour mesurer les performances du système dans différentes conditions. Les tests doivent être conçus pour simuler les pics de trafic attendus et doivent être exécutés fréquemment pour s’assurer que le système fonctionne comme prévu. Les résultats des tests doivent être analysés pour identifier tout problème potentiel et pour s’assurer que le système est capable de gérer les pics de trafic attendus. 

Source de l’article sur DZONE

Est-ce que votre application accepte les portefeuilles numériques ?

Oui ! Nous sommes heureux de vous annoncer que notre application accepte désormais les portefeuilles numériques pour faciliter vos transactions.

Portefeuilles numériques et leur fonctionnement

  • You enter your payment information into the digital wallet.

  • The digital wallet securely stores the data.

  • When you make a purchase, the digital wallet transmits the data to the merchant.

  • The merchant receives the data and processes the transaction.

Les portefeuilles numériques

Les portefeuilles numériques sont des systèmes électroniques qui stockent de manière sécurisée des informations de paiement numériquement. Ils facilitent les transactions électroniques en ligne ou en magasin sans utiliser de cartes physiques. Les portefeuilles numériques sont conçus pour la commodité et comprennent souvent des fonctionnalités de sécurité pour protéger vos données financières.

Comment fonctionnent les portefeuilles numériques

Les portefeuilles numériques stockent et gèrent les informations de paiement dans un format numérique sécurisé. Lorsque vous effectuez une transaction, un portefeuille numérique utilise ces données stockées pour faciliter le paiement. Voici une brève explication simplifiée :

  • Vous entrez vos informations de paiement dans le portefeuille numérique.

  • Le portefeuille numérique stocke les données de manière sécurisée.

  • Lorsque vous effectuez un achat, le portefeuille numérique transmet les données au commerçant.

  • Le commerçant reçoit les données et traite la transaction.

Avantages des portefeuilles numériques

Les portefeuilles numériques offrent une variété d’avantages par rapport aux moyens traditionnels de paiement. Les principaux avantages sont :

  • Plus rapide et plus facile : les portefeuilles numériques sont conçus pour être plus rapides et plus faciles à utiliser que les moyens traditionnels de paiement. Vous n’avez pas à vous soucier de sortir votre carte ou de saisir des informations de paiement à chaque fois que vous effectuez un achat.

  • Plus sûr : les portefeuilles numériques sont conçus pour protéger vos données financières. Les portefeuilles numériques utilisent des technologies de cryptage pour protéger vos informations et empêcher les personnes non autorisées d’accéder à vos données. De plus, les portefeuilles numériques offrent souvent des fonctionnalités supplémentaires telles que la protection contre la fraude et le suivi des dépenses.

Source de l’article sur DZONE

A breakdown of a simple app, from UI design to deployment, that shows off why coding is a magic tool for designers.

Figma, Adobe XD, Photoshop, Wacom Tablet, sketchbook… all tools for interfaces and web designers, yes? Take 2 minutes, and try to remember why you want to become a designer and why you enjoy designing stuff.

Chances are it’s because you like to create; you’re a creative person. Maybe you started with artistic experiences as a child, then turned that creative energy into problem-solving while continuing to express it visually: You became a designer, a creative problem solver.

Today, I’ll try to show you how coding is an underrated tool to express your creative problem-solving mindset by building a real SVG generator from scratch. So let’s get into it!

Step 1: Don’t get an idea; solve a problem

We didn’t go into deep business considerations here, but seeing problems you face and deciding to solve them yourself is a great way to start.

During client work, I needed some SVG waves for illustrations. So I looked for a wave generator: There were a ton of wavy colorful wave generators with parametric inputs but no simple, perfect sine waves generator. I decided to draw it on my math tool GeoGebra and then export it to SVG.

Okay, but not fast. And we like to get our jobs done quickly. But wait… Why don’t we create a perfect sine waves generator? Without equations & boring math software to open, just a curve and an export button. You got it, now let’s design it.

Quick tips: If you are looking for a problem, look for memes in your field. They always show a deep, painful, well-known problem.

Step 2: Design the solution simple as possible

Two main rules: First rule, think about who will use it; the second rule, predict what they expect from how it works. So who? Front-end developers. What are they waiting for? A curve that can be edited with direct feedback and an export button.

Wireframe design

High-Fi design

A quick tip: You can grab the Figma design of the app for more technical tips on the design.

Step 3: Build it for real

As a designer, stopping at step two is perfectly fine. But imagine if you could build what you design! You already know you can create everything you want.

You can see coding as a way to translate your UI that will surely end with a .com application that is usable by everyone. This is why “best languages” don’t matter; coding is just a tool to express your creativity and build stuff for others. And as a designer, a creative person, this might sound…interesting.

UI to functionnal app

UI to functional app

Every web app interface can be translated from UI design to code with HTML/CSS/JS. There is how we can see the role of each of those 3 “languages”:

HTML: I want a button.

CSS: I want my button to look rounded.

JS: I want something to happen when I click on my button.

To build our app, I’ll use Svelte. Svelte is a JavaScript compiler that allows us to use all those three “languages” in one place. So, let’s see how code can translate our UI to functional things.

HTML button code

“Hey web browser, I want a button named “exportButton” and everything in a function named “downloadSVGpath” to be carried out when someone clicks on the button :) Thanks”

CSS style button code

“Hey web browser, I want you to apply these style rules to my basic HTML button: I want a beautiful rounded corner at 16px, a mouse pointer when we hover it, I don’t want any borders, but I want a cool color gradient as a background color. Then, I want the font inside the button to have its color set to #fcfcfc and use the Inter typeface (bold, please). Like my Figma design, I also want to center stuff in the button and add padding. Oh, and add a subtle shadow :) Thanks.”

Drawing SVG curve function

“Hey, web browser, each time our slider moves, I want to run this function: I want you to draw a curve inside a frame that I have defined inside my HTML code. I also want my curve stroke to look rounded at each cap and have a color and width I’ve defined inside variables. You will take the sine function parameters from the stored values of the sliders. Finally, while your x variable hasn’t reached the total width in the x-axis of our frame, you will solve the y-axis point position of the sine equation and draw the curve :) Thanks.”

Quick tips: You can grab the source code files of the app to explore them.

Summary

  • Coding is just a tool that allows us to translate our very visual metaphors into something that everybody can use. How cool is that?!
  • Coding helps us to envision our design goals and forces us to see beyond the visual range: how is my button will be supposed to work? How does it look when hovering? How my popup modal can be designed for mobile devices?
  • Coding allows us to create the weird idea we designed “just for fun” instead of pushing the design case study into our portfolio under the “personal project” tag.
  • Coding shows us how much work is required to achieve what we designed. So we can better understand our design clients’ needs, challenges, and resource management.
  • Coding is flexible. You can replicate the Netflix website pixel perfect with pure HTML/CSS, the Vue Framework, or any other Web framework.

Source

The post Designers Should Code: Build an App From Scratch first appeared on Webdesigner Depot.

Source de l’article sur Webdesignerdepot

Asset management and website performance optimization are two of those unavoidable headaches faced by every website owner.

A digital asset management (DAM) platform can provide centralized asset repositories with intuitive dashboards to help you manage assets. On the other hand, an image CDN can help you get rid of that messy responsive syntax and provide dynamic asset optimization with huge performance boosts.

The problem is that website performance has become such a competitive factor that DAMs with other priorities tend to fall short. On the other hand, specialized image CDNs don’t solve the problems associated with image management, particularly within organizations.

With that in mind, I propose solving these problems for good by putting together image management and optimization stack using ImageEngine and Cloudinary. Instead of being a comparison between these two tools, this article describes the benefits of using them to complement each other.

Features and Asset Management Capabilities

As a DAM, Cloudinary provides you with a visual interface to store, manage, and edit your image and video assets. In that way, it’s not much different from any other professional image managing software such as Adobe Bridge, except that it’s an online, browser-based service.

Using the Media Library, you can upload, delete, and organize images in folders, for example. The visual image editor allows you to make advanced transformations and image touch-ups and see the results instantaneously using tools like sliders, dropdowns, etc. You can even chain transformations together for multi-layered effects.

Cloudinary also allows you to manipulate images and videos this way using their URL-based API.

Cloudinary has additional auxiliary features that make asset management easier (especially in organizations), such as backups, role-based multi-user admin, and feature extensions via third-party integrations and add-ons.

This is something most image CDNs don’t provide. Instead, they allow you to access and transform images using URL manipulation. Transformations are usually made using string-based parameters or directives. A serverless, headless DAM, if you will.

However, the advantage of using a dedicated image CDN like ImageEngine, is that it can usually provide enhanced asset optimization. ImageEngine, for example, is an intelligent image CDN that uses WURFL device detection to finely read the context an image is accessed from (device model, PPI, OS, browser, resolution, etc.) and then chooses the optimal image for that configuration.

This frees up website owners from having to do any additional optimization. This business logic is also built-in to all of their global PoP servers, and ImageEngine specifically delivers cache-hit ratios close to 100%. The following performance section will illustrate the difference this can make in practice.

Check out the key differences between ImageEngine and Cloudinary. And, for a deeper insight, see the comparison with other similar CDNs, like imgix and Cloudflare

Performance

Just to cover our bases and prove that this is an effective asset management and optimization stack, I’m also going to affirm it using a Lighthouse performance audit. Here is a quick summary of the results:

For this test, I built a web page with a tonne of images with overly large file sizes. In this first Lighthouse audit, I didn’t apply any optimization to the images. Here’s the result:

As you can see, we had some major problems when it came to the loading time of our assets. Overall, the page took more than 10 seconds to load. One of Google’s crucial user-centric performance metrics, LCP, scored a miserable 7.5s. Lighthouse suggested that some of the main problems encountered were the asset file size, inefficient cache policies, using non-optimal image formats, and improperly sized images.

Both Cloudinary and ImageEngine are supposed to address all of these factors with their auto image optimization. In the next audit, I used the same page and content but served my images via Cloudinary:

As you can see, there is improvement in most factors. FCP is now in the green, and both the Speed index and LCP times have almost halved. Even TTI and CLS improved slightly. That being said, it’s still nowhere near optimal, and we’re still falling short of the all-important 3-second loading time ceiling.

So, finally, let’s do another Lighthouse audit – this time using ImageEngine on top of Cloudinary. Here are the results:

With ImageEngine, I finally scored in the green with 95. All the metrics that have to do with the sheer speed at which image content loads improved. The Speed Index and LCP, which is the most important, improved dramatically. CLS scored worse, but this typically varies from test to test.

You can find another and more extensive breakdown of the performance and pricing comparison here.

Transformations, Bandwidth Utilization, and Cost

Cloudinary’s pricing plans work on a credit-based system. Starting with the free account, you get 25 credits/month. Each credit can be used for 1,000 transformations, 1 GB of storage, or 1 GB of net viewing bandwidth. The other two packages cost $99 for 225 credits and $249 for 600 credits, respectively.

You should plan to generate a minimum of 5 transformations per image. In effect, that limits you to around 200 images with the free plan, excluding whatever manual transformations you make.

ImageEngine’s Basic plan costs $49 and provides you with 100 GB of Smart Bytes. Smart Bytes are based on optimized image content and translate to roughly 400-500 GB of raw images.

So, with Cloudinary, you have to compromise between bandwidth and storage usage as well as the number of transformations you can make. Transformations for Cloudinary are counted as they are dynamically generated on-demand.

However, if you use ImageEngine for optimization, you can switch off Cloudinary’s auto-optimization. When a new image variant is needed, it will be generated and delivered via ImageEngine. Considering variant count isn’t limited by ImageEngine, this will drastically cut down on the number of credits you’ll need to spend on transformations.

Effectively, that means you could use the bulk of your Cloudinary credits purely for storage and specific transformations. For example, advanced cropping, applying effects, or color adjustments. These are, after all, the main functions of a DAM.

With this setup, ImageEngine’s Basic plan and Cloudinary’s free plan should be adequate for most websites, saving around $50 a month.

How to Implement Cloudinary with ImageEngine

Signing up for Both Services

As it will house all of your image assets, the logical place to start would be to sign up with Cloudinary.

Create a (free) account, and make sure to take note of your “cloud name” during the setup wizard. This will be the name of your designated storage location on the Cloudinary platform and is usually a garbled string like di2zgnxh0 by default. However, you can change this to something more meaningful.

Once you’ve signed up, you can start uploading your image assets and creating different versions/transformations of them. Setting up Cloudinary integration on a CMS, like WordPress, is usually straightforward. Just indicate the CMS you’ll be using, copy the API key, install the plugin, and activate it.

Next, sign up for a free trial with ImageEngine. There will also be a short setup wizard during which you will:

  1. Provide ImageEngine with the website where your images will be delivered.
  2. Supply your image origin (in this case, your Cloudinary web folder). For now, you can only add the Cloudinary, e.g., res.cloudinary.com.
  3. Get your ImageEngine image-serving domain, e.g., {randomstring}.cdn.imgeng.in

When in your ImageEngine dashboard, you’ll see this domain listed under “Engines” as well as an entry for Cloudinary under “Origins.” Edit the latter and under “Advanced,” add your Cloudinary folder to the “PATH” field.

That’s it, you should now be able to store and manage images via Cloudinary and serve them via the ImageEngine CDN.

Dynamically Loading Specific Image Variants

Let’s take a look at a use case for loading different transformations of individual images on your site. This example will showcase how you can use Cloudinary’s advanced image editing tools to transform images while still reaping the optimization rewards of using ImageEngine as your image CDN.

A popular practice today is to use rounded images for team, client, or profile portraits. Using Cloudinary, you can load this transformation using the following URL:

https://res.cloudinary.com/myimages/image/upload/w_400,h_400,c_crop,g_face,r_max/w_200/profile.jpg

This will resize the image to 400 by 400px, focus on the face, and apply the maximum amount of radial cropping around it – to a width of 200px.

The same image can then be accessed via your ImageEngine delivery engine simply by swapping out the domain:

https://images.myimageengine.com.imgeng.in/image/upload/w_400,h_400,c_crop,g_face,r_max/w_200/profile.jpg

NOTE: I added my Cloudinary folder designation (“myimages”) as the path to my image origin. With that config, I don’t need to include it every time I use the image URL.

For example, you can set up the origin like this:

And, then under advanced:

If I specifically wanted to load the profile picture in WebP format (for transparency support, for example), I could add the ImageEngine directive f_webp:

https://images.myimageengine.com.imgeng.in/image/upload/w_400,h_400,c_crop,g_face,r_max/w_200/?imgeng=/f_webp/profile.jpg

ImageEngine and Cloudinary – The Wrap Up

Both ImageEngine and Cloudinary are superb platforms that can make managing image and video assets easier and improve your website maintenance. However, both services have their specialty in which they outperform each other.

For ImageEngine, it’s delivering blisteringly fast image loading times in next-gen formats and with a minimal loss of visual quality.

For Cloudinary, it’s providing a visual interface to organize, store, and edit your image and video assets.

As a further incentive, letting each of these services handle what they’re best at can lead to lowering your long-term operating costs.

 

[– This is a sponsored post on behalf of ImageEngine –]

Source

The post Start Using a Smart DAM and Image Optimization Stack first appeared on Webdesigner Depot.


Source de l’article sur Webdesignerdepot

Artificial intelligence. Just hearing the phrase has been a trigger for many in the technology world since that creepy Haley Joel Osment film circa 2001. But more recently, artificial intelligence and machine learning strike fear into the hearts of skilled workers for an entirely different reason: job security, or lack thereof.

Smart-home devices, streaming services, self-checkouts, even Google searches are ways that artificial intelligence has seeped into everyday life, exemplifying the abilities of computers and machines to master both simple and complex tasks. In some instances, these technological advancements make our lives easier, but for some people, their proliferation has meant job loss and skill replacement. There’s no wonder that when artificial intelligence starts being mentioned along with web design and site creation, the spidey senses of designers all over the world start tingling.

designers think outside the box, something that AI just can’t do

But let’s get real about what AI and automation really mean for designers for a second. Talented designers with busy schedules should view these advancements as virtual assistants. For some small businesses on a limited budget, the websites that artificial intelligence can pump out might be fine…for a while. However, as businesses grow, change, require updating and customization to adapt to their customer base, the expertise of creative and talented designers will always be needed. Even the best AI that we see today is limited by evaluating, replicating, and revising what already exists. It may be able to mix 1,000 different color schemes into 10 million potential combinations, but great designers think outside the box, something that AI just can’t do.

In fact, rather than being scared of automation, designers ought to embrace automation and artificial intelligence as a way to unleash their creative thinking. Delegate repetitive, straightforward tasks to the right software, and suddenly you have time to bring your best ideas to the table and push the boundaries of your own innovation. 

Where AI has Failed in Design

The ultimate goal of artificial intelligence and automation in design work is a grand vision that has yet to be realised.

Consider the case of The Grid, which began as a crowdfunding campaign in 2014. The “revolutionary” product posed itself as an artificial intelligence solution for building thoughtfully, yet automatically, designed websites in five minutes. Research “Reviews of the Grid” in any search engine and you’ll be met with scathing criticism with only some small praise sprinkled in. Most of the initial users cite underwhelming results, the feeling of being duped by the Grid’s marketing tactics, nonsensical placement of text, and ultimately, the Grid being a complete waste of money for the resulting product. Even at the low cost of $100, compared to hiring a talented designer, most users felt their investment was wasted.

For the AI capabilities that exist now, most small business owners, or those looking to put together a simple website, are better off using drag and drop site builders (Wix, Squarespace, Weebly, etc) that have been around for ages. Even so, there are plenty of businesses still willing to hire designers to take this simple task off their plate due to a lack of technical expertise or lack of time. And let’s be honest, are there even enough talented (keyword here!) designers out there to keep up with the millions of websites created every year, without each one working themselves to death? 

Where Automation Shines for Designers

Fortunately for good designers, it appears for now that the days of artificial intelligence completely taking over their jobs is a fantasy. However, what AI and automation do offer designers is a solid starting point for success, eliminating much of the lower-level grunt work that most designers would rather skip anyway.

Even well-received AI website builders like Firedrop still require a basic eye for design and specialised knowledge to produce truly unique, high-converting, and user-friendly websites. Tools and practices that designers should adopt are the artificial intelligence and automation resources that will help them do their jobs better, faster, and leave them with more time to focus on project elements that AI cannot accomplish on its own.

Bridging the Gap Between Designers and Developers

Well-established brands are likely to already have design systems in place that guide the creation of new elements across their digital profiles whether on social media, various mobile apps, or different sections of a website. But even in large corporations — excepting those who have perfected the process — there’s often a breakdown between a designer’s vision and resulting product from the developers. It stems from the basic difference in how they each approach their work and the limitations of the systems they use.

While component libraries — or even full design systems for that matter — won’t reconcile every question, they provide both developers and designers a source of truth to work from that both parties can understand. Design collaboration tools like Invision and Visme, specifically, keep designers and developers on the same page with automated version saving and code-friendly workflows.  

Understanding the Consumer

I don’t suggest using artificial intelligence to produce content for your site

Digging into and understanding the behaviours and habits of site users is a relatively new component of site design, but offers invaluable insights. Tools like HotJar, Mouseflow, or Smartlook make it simple to see holes or leaks in your conversion funnels, detect which page elements users are interacting with, and which they’re not interested in to refine the look and feel of a page for maximum conversions. Even though these tools provide the data, it still takes a keen eye and understanding of design to implement the right changes to improve site performance.

Site content is another way that artificial intelligence has the potential to improve our understanding of customer behaviour and improve site performance for individual users. I don’t suggest using artificial intelligence to produce content for your site, no matter how much the results have improved. However, static landing pages or a single set of further reading recommendations are unlikely to appeal to the majority of site visitors. Artificial intelligence tools like CliClap and Personyze instantly collect and analyse consumer data to provide dynamic, personalised experiences that drive more leads and encourage conversions. Creative designers will also learn from this data to improve customer experience with other pages or elements throughout the site.

Removing Distracting, Time-Sucking Administrative Tasks

Because “artificial intelligence” has become a term with such negative connotations, we often overlook the simple way that AI actually makes our work lives better and easier. Machine learning in email filtering is a great example of this. Consider a simple interface like a Gmail inbox. We have the option to mark certain senders as spam or as important, and our inbox learns that type of communication is and isn’t useful to the user. Pandora, Spotify, Apple Music, and more all take cues from the user behaviour of liking a certain song, artists, or genre of music to build customised playlists. There are a myriad of ways that artificial intelligence and its branches of disciplines merge with our everyday lives. 

Some of the most useful automations for business, and especially for designers, are related to the administrative tasks that frequently take time away or distract from more pressing projects. A perfect example of automation that can relieve stress and cut down on mindless work is an email autoresponder. I’ve always found that having time blocked off in my calendar to tackle complex or important projects helps me to focus on the task at hand and be more efficient. In order to more effectively block out my time, closing my email and setting an autoresponder to reply to all incoming emails serves two purposes: 

  1. Lets those trying to get in touch with me know that I only check my email at certain times of the day and that my response may not be immediate — tempering their expectations of when they might hear from me.
  2. Relieves my personal stress of being tethered to my inbox, splitting my focus, and also saves the time of having to initially respond to each email individually. 

This is just one simple way to use automation in your email, although there are many others to explore.

While Zapier isn’t the only workflow automation service on the market, it’s probably the most well known. Workflow automation reduces time spent on mind-numbing, repetitive tasks and helps designers connect apps that might not natively work together. Do you keep a task list in Todoist? Set up a Zap, then create a task in Todoist anytime someone mentions you on Asana or assigns you a task in Trello.

This is especially helpful for freelance designers who work with multiple clients across various project management platforms. The potential for automation to relieve unnecessary mental overhead for designers is nearly limitless.

Don’t be Afraid of AI, Embrace It

The bottom line of this brief overview of artificial intelligence and automation in design is that this emerging technology isn’t something designers should be scared of. In fact, it’s something to welcome with open arms because ultimately it can make our jobs, and our lives, better. Leave the monotonous tasks of collecting and analysing huge amounts of data or administrative minutiae to the machines; they can handle it.

Save the interesting, creative, abstract work for the talented designers who can turn AI recommendations into unique and intuitive digital experiences. Making the relationship between artificial intelligence and design symbiotic will yield the best results for every entity involved: the business, the AI, and yes, even the designer.

 

Featured image via Unsplash.

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Source de l’article sur Webdesignerdepot

In today’s look at the latest research for web designers, we’re going to look at studies and reports from Payoneer, Robert Half, Hootsuite, and Contentsquare to see what they have to say about things like:

  • Current freelancer demand
  • Web designer earning potential
  • A change in ecommerce shopping trends
  • Unseen content rates

1. There’s Light At the End of the COVID-19 Tunnel for Freelancers

Payoneer’s The State of Freelancing During COVID-19 had to take a different approach to reporting on the freelancer workforce than in years passed.

Here’s why:

When 1000+ freelancers around the globe were asked how demand for their services changed during COVID-19, this was the response:

Less than 17% of freelancers experienced an increase in demand for their services and less than 23% saw demand remain the same.

An overwhelming majority of freelancers experienced a shrink in demand, with nearly 29% saying it slightly decreased while almost 32% said it greatly decreased.

However, the data collected wasn’t just assessed on a global scale. Payoneer also looked at freelancing demand trends in various parts of the world:

Notice the differences between Asia and Australia (who were hit with COVID-19 earlier) and North America and Europe (where the pandemic arrived a little later).

It appears as though Asian and Australian freelancers are, economically speaking, already starting to feel the effects of recovery from the pandemic with demand working in their favor.

So, if you’re feeling like there’s no end to the hardships you’ve faced during COVID-19, and were considering dropping your prices, hold on for just a little bit longer. Freelancers are starting to feel optimistic about demand for their services increasing. If you go devaluing yourself now, it’ll be hard to return to where you were before COVID-19 when things get back to normal.

2. Robert Half’s Salary Guide Breaks Down the Earning Potential for Web Designers

On a related note, let’s talk about demand from the employer’s point of view.

According to Robert Half’s 2020 Salary Guide for creative marketing professionals, there’s big demand for digital talent:

So, that’s number one. We know that almost 50% of hiring managers feel as though their digital teams are inadequately staffed. That’s good news for web designers.

However, these same managers complain about creative marketing professionals’ lack of up-to-date skills as the biggest barrier to hiring or retaining them. Although the report doesn’t say so, I’m going to assume this refers both to employees as well as contractors.

This should be a no-brainer. By keeping up with the latest web design trends and techniques, you can make top-dollar for your services — and hold onto those valuable client relationships for a long time.

According to the report, this is how much you stand to earn working in web design (in the U.S.) today:

If you’re eyeballing those salaries in the 95th percentile, then you know what you need to do. Hiring managers have spoken up about what’s holding them back from hiring.

For those of you who feel as though you’ve gone as far as you can as a web designer, it might be worth exploring a new specialty. Like one of the following:

As you can see, designers in the UI, UX, and interactive space (along with web developers) have the opportunity to make more money, even earlier on in their careers. You may also find that more job opportunities are available as you move into these niches (because of less competition), which might cut down on any demand issues you’ve been experiencing because of COVID-19.

3. Hootsuite’s Digital 2020 Report Reveals an Interesting Trend in Ecommerce

Hootsuite’s Digital 2020 report is always a great resource for learning about social media marketing trends. That said, that’s not why I read it.

It’s for hidden gems like these:

It’s no surprise that we’re seeing changes in retail and ecommerce during COVID-19. What is a surprise, however, is how consumers’ online shopping habits have changed.

Here’s what we’re seeing when we compare 2020 ecommerce data with the pre-COVID benchmarks:

Site visits are 1.7% lower than expected. That would make sense considering how budget-conscious consumers are right now. It likely keeps them from going on unnecessary shopping sprees.

Session durations are 3.3% lower. This could be related to fewer site visits. It might also indicate greater consumer confidence. If they come to a website with a plan for what they need to buy, they’re going to take a straight line to conversion instead of spending time window shopping that prolongs their session.

The number of transactions is 19.1% higher and the conversion rate is 21.6% higher. Considering shoppers aren’t spending as much time with ecommerce websites, this point suggests that there’s a massive shift happening from in-store shopping to online shopping.

If that’s the case (even if consumers are currently spending less money), that means web designers need to set their sights on the ecommerce space. With the holiday shopping season expected to start sooner rather than later this year, now is the time to get in there and make sure these sites provide as streamlined an experience as possible.

4. Contentsquare Studies the Unseen Content Rates By Industry

Contentsquare analyzed more than 7 billion user sessions globally to create the 2020 Digital Experience Benchmarks report.

There’s some interesting data in here about website traffic and conversion trends, but what I find the most valuable is the breakdown by industry.

It was this chart, in particular, that really caught my eye:

According to Contentsquare’s data, between 60% and 75% of a website’s content is unseen. Some industries fare better than others, like home supplies and luxury retailer websites, but the numbers still aren’t flattering.

For example, what does it mean when consumers miss 75% of a financial service provider’s content?

Does this mean that the financial advisory content — which I’m assuming comprises the bulk of the pages on the site — is useless or irrelevant? Or perhaps it’s an issue of discoverability since blog content and other resources often take a backseat to service and product promotion?

What about ecommerce brands in the apparel or beauty space?

If two-thirds of their pages are unseen, does that mean their websites are overrun with obsolete inventory? Or, again, is it an issue of navigability and discoverability around the store?

As a web designer, I’d suggest performing your own unseen content analysis on the websites you’ve built. If over 60% of your pages never get any views, you’re going to have to decide what to do with them:

Option 1: Fix the navigation or search function so people can actually find these unseen pages.

Option 2: Remove them from the site and make room for content your visitors actually find valuable.

Wrap-Up

As you encounter research and reports online — whether it’s written specifically for web designers or other creative professionals — spend some time looking for hidden gems.

As you can see above, there’s a ton of relevant research for web designers out there, even if it’s hiding behind the mask of a larger issue or matter. And it’s this data that will help you get a leg up on the competition since it’ll get you thinking about your business and your approach to design in different ways.

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