Even though Node is fun, easy and cheap to work with, we spend a lot of time writing boilerplate codes because structure and organization is missing.
In part 1, we discussed the basics of Adonis, including how to setup Adonis projects, and create migrations, models, a few routes, and a controller to test the creation of new posts.
Even though Node is fun, easy and cheap to work with, we spend a lot of time writing boilerplate codes because structure and organization is missing.
What happened to Convention Over Configuration?
While Node is simple, it requires you to make a lot of decisions, which ultimately causes confusion because it leaves you with several options. Languages like PHP, Ruby, C# and Python have one or more Molde-View-Controller (MVC) frameworks, such as Laravel, Rails, ASP.Net and Django. These help developers to achieve structure and write maintainable code with these languages. That was not the case for Node until AdonisJs was introduced.
Every picture has a story to tell. But the story it tells can change when you change the color tone, saturation, contrast, or other elements of a photo.
A few years ago, post-processing a digital image generally required a high level of skill and expensive software such as PhotoShop. But in recent years, popular photo sharing apps such as Instagram, Flickr, and Snapchat started offering built-in filters. Professionals take advantage of filters to make subtle corrections or adjustments. Casual users often apply more prominent filters that add their own unique touch or just make their images more fun.
One of the main optimization challenges for website and mobile developers is how to display sufficiently high quality images to their visitors while minimizing the image file size. A smaller image file size can lead to faster load times, reduced bandwidth costs and an improved user experience. The problem is that reducing the file size too much may lead to a lower image quality and could harm visitor satisfaction. Delivering an optimized image with just the right balance between size and quality can be quite tricky.
Once upon a time, in long forgotten browser versions, getting a video into a website required creating and embedding Flash resources. But these days, all modern browsers support HTML5, including the HTML5 video tag, which means you’ve got a built-in video player that anyone can use.
I'll start by giving it to you straight:
As part of the recent "auto–everything" launch, we introduced two new transformation parameters – dpr_auto and w_auto, which pair the DPR and Width Client Hints with Cloudinary’s existing image resizing and delivery infrastructure, in order to serve up simple, automatic responsive images.
One of the most important things to know about compressing image files is that a smaller file size comes at the cost of a lower image quality. How much lower, and whether low enough to make a difference visually, depends on the image. Compression can be very effective at reducing the size of the image, and besides lowering the costs of storage space and bandwidth, a reduced image size goes a long way to retaining your users’ attention with faster, smaller downloads.
It's great to have the capability to transform images on the fly by using dynamic URLs to customize the images to fit the graphic design of your site or mobile application. However, what if you want to transform an image depending on a specific image characteristic (like its width or aspect ratio) or its contents (does it contain a face?). What you need is a way to apply a transformation to an image only if a specific condition is met. Take for example a situation where you have allocated space on your page for a user uploaded image with a width and height of 200 pixels. Furthermore, if the image contains a face you would like to zoom in and focus on the face itself, otherwise you would like to fit the entire image into the available space:
Cloudinary’s JavaScript library accelerates web development by providing automated JavaScript image transformation and management with a few lines of code. The newly released version streamlines the library by providing a much requested jQuery-free core library. At the same time it is fully backward compatible with previous versions. The new library is further enhanced with classes and a chainable API, making the implementation of Cloudinary functionality in your application easier (and more enjoyable!).