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Are your website images ready to embrace the iPhone X notch?

Are your website images ready to embrace the iPhone X notch?

The announcement of the iPhone 8, 8 plus and the iPhone X at the iPhone 10th anniversary Apple event on 12th September 2017, came with a massive buzz.

The iPhone X (pronounced "iPhone 10") has a 5.8-inch super retina screen, which stands out amongst other Apples, giving the machine the tagline “it is all screen”. A resolution of 2436 x 1125 is also featured, making it the highest resolution iPhone to date.

Since the announcement, designers and prototypers have obviously been working in full gear to carve out products and designs to match the upcoming iPhone X.

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That Notch

This is arguably one of the fascinating features of the iPhone X! (and the wonderful portrait above too). The Notch up top. Bold, elegant, has the flows around it and still fascinating, even though the guy in the portrait below doesn’t seem so thrilled.

One Notch to Rule All

We have to find a way to make him happy, how to make the notch really beautiful and useful for our images. Let’s do this with Cloudinary image transformation tools.

The iPhone X screen is unique in that the dark space (notch) that houses the camera and other sensors are actually part of the hard glass screen and content displayed flows around this notch. This is a very important aspect to consider in the UI/UX design of products to fit the all screen iPhone. In this article, we will discuss a way to fix your images, testing how it would look on the iPhone X.

spot the notch on top

How do you work with that screen?

Image management and manipulation can be done on-the-fly with Cloudinary. And when I say on-the-fly, that means that images are manipulated using dynamic delivery of their URLs!

Cloudinary also offers mobile-first image optimization for mobile design and the best part, it’s easy to use. These images are cached on the CDN and are immediately available upon request.

Cloudinary’s image management and manipulation service will be used in this article to simulate how images fit on the iPhone X screen. With this, you can test your images and products to see how well they fit on this new type of screenX.

Before we begin, let’s have a look at the sample image we will be manipulating.

image manipulation

Manipulate the image

To perform this test, you need the notch image.

iphone_x_notch overlay

Next, upload the image to be manipulated. In our case, we uploaded the overhead swimming pool image displayed above.

Now we need to apply the manipulation. Images in Cloudinary take the form of:

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https://res.cloudinary.com/<cloud_name>/image/upload/<transformation_parameters>/<public_ID>.<image_format_file_extension>

So to adjust the swimming pool image, we use the URL below, and work on the <transformation parameters> portion: https://cloudinary-res.cloudinary.com/image/upload/ <transformation-parameters> /Spencer_Watson.jpg

Cloudinary offers lots of image URL manipulation parameters and they can be found here. For this test, we are going to be using quite a few parameters. The URL might look a bit scary at first, but scroll down a bit and we will walk you through the whole thing.:

Ruby:
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cl_image_tag("spencer-watson-36.jpg", :transformation=>[
  {:if=>"ar_gt_1"},
  {:height=>562, :width=>1218, :crop=>"fill"},
  {:overlay=>"iphone_x_notch", :width=>325, :crop=>"scale"},
  {:angle=>90},
  {:angle=>"hflip"},
  {:flags=>"layer_apply", :gravity=>"west"},
  {:if=>"else"},
  {:height=>1218, :width=>562, :crop=>"fill"},
  {:gravity=>"north", :overlay=>"iphone_x_notch", :width=>325, :crop=>"scale"},
  {:if=>"end"},
  {:background=>"#000000", :radius=>54}
  ])
PHP:
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cl_image_tag("spencer-watson-36.jpg", array("transformation"=>array(
  array("if"=>"ar_gt_1"),
  array("height"=>562, "width"=>1218, "crop"=>"fill"),
  array("overlay"=>"iphone_x_notch", "width"=>325, "crop"=>"scale"),
  array("angle"=>90),
  array("angle"=>"hflip"),
  array("flags"=>"layer_apply", "gravity"=>"west"),
  array("if"=>"else"),
  array("height"=>1218, "width"=>562, "crop"=>"fill"),
  array("gravity"=>"north", "overlay"=>"iphone_x_notch", "width"=>325, "crop"=>"scale"),
  array("if"=>"end"),
  array("background"=>"#000000", "radius"=>54)
  )))
Python:
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CloudinaryImage("spencer-watson-36.jpg").image(transformation=[
  {'if': "ar_gt_1"},
  {'height': 562, 'width': 1218, 'crop': "fill"},
  {'overlay': "iphone_x_notch", 'width': 325, 'crop': "scale"},
  {'angle': 90},
  {'angle': "hflip"},
  {'flags': "layer_apply", 'gravity': "west"},
  {'if': "else"},
  {'height': 1218, 'width': 562, 'crop': "fill"},
  {'gravity': "north", 'overlay': "iphone_x_notch", 'width': 325, 'crop': "scale"},
  {'if': "end"},
  {'background': "#000000", 'radius': 54}
  ])
Node.js:
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cloudinary.image("spencer-watson-36.jpg", {transformation: [
  {if: "ar_gt_1"},
  {height: 562, width: 1218, crop: "fill"},
  {overlay: "iphone_x_notch", width: 325, crop: "scale"},
  {angle: 90},
  {angle: "hflip"},
  {flags: "layer_apply", gravity: "west"},
  {if: "else"},
  {height: 1218, width: 562, crop: "fill"},
  {gravity: "north", overlay: "iphone_x_notch", width: 325, crop: "scale"},
  {if: "end"},
  {background: "#000000", radius: 54}
  ]})
Java:
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cloudinary.url().transformation(new Transformation()
  .if("ar_gt_1").chain()
  .height(562).width(1218).crop("fill").chain()
  .overlay(new Layer().publicId("iphone_x_notch")).width(325).crop("scale").chain()
  .angle(90).chain()
  .angle("hflip").chain()
  .flags("layer_apply").gravity("west").chain()
  .if("else").chain()
  .height(1218).width(562).crop("fill").chain()
  .gravity("north").overlay(new Layer().publicId("iphone_x_notch")).width(325).crop("scale").chain()
  .if("end").chain()
  .background("#000000").radius(54)).imageTag("spencer-watson-36.jpg");
JS:
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cloudinary.imageTag('spencer-watson-36.jpg', {transformation: [
  {if: "ar_gt_1"},
  {height: 562, width: 1218, crop: "fill"},
  {overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325, crop: "scale"},
  {angle: 90},
  {angle: "hflip"},
  {flags: "layer_apply", gravity: "west"},
  {if: "else"},
  {height: 1218, width: 562, crop: "fill"},
  {gravity: "north", overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325, crop: "scale"},
  {if: "end"},
  {background: "#000000", radius: 54}
  ]}).toHtml();
jQuery:
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$.cloudinary.image("spencer-watson-36.jpg", {transformation: [
  {if: "ar_gt_1"},
  {height: 562, width: 1218, crop: "fill"},
  {overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325, crop: "scale"},
  {angle: 90},
  {angle: "hflip"},
  {flags: "layer_apply", gravity: "west"},
  {if: "else"},
  {height: 1218, width: 562, crop: "fill"},
  {gravity: "north", overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325, crop: "scale"},
  {if: "end"},
  {background: "#000000", radius: 54}
  ]})
React:
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<Image publicId="spencer-watson-36.jpg" >
  <Transformation if="ar_gt_1" />
  <Transformation height="562" width="1218" crop="fill" />
  <Transformation overlay="iphone_x_notch" width="325" crop="scale" />
  <Transformation angle="90" />
  <Transformation angle="hflip" />
  <Transformation flags="layer_apply" gravity="west" />
  <Transformation if="else" />
  <Transformation height="1218" width="562" crop="fill" />
  <Transformation gravity="north" overlay="iphone_x_notch" width="325" crop="scale" />
  <Transformation if="end" />
  <Transformation background="#000000" radius="54" />
</Image>
Vue.js:
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<cld-image publicId="spencer-watson-36.jpg" >
  <cld-transformation if="ar_gt_1" />
  <cld-transformation height="562" width="1218" crop="fill" />
  <cld-transformation overlay="iphone_x_notch" width="325" crop="scale" />
  <cld-transformation angle="90" />
  <cld-transformation angle="hflip" />
  <cld-transformation flags="layer_apply" gravity="west" />
  <cld-transformation if="else" />
  <cld-transformation height="1218" width="562" crop="fill" />
  <cld-transformation gravity="north" overlay="iphone_x_notch" width="325" crop="scale" />
  <cld-transformation if="end" />
  <cld-transformation background="#000000" radius="54" />
</cld-image>
Angular:
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<cl-image public-id="spencer-watson-36.jpg" >
  <cl-transformation if="ar_gt_1">
  </cl-transformation>
  <cl-transformation height="562" width="1218" crop="fill">
  </cl-transformation>
  <cl-transformation overlay="iphone_x_notch" width="325" crop="scale">
  </cl-transformation>
  <cl-transformation angle="90">
  </cl-transformation>
  <cl-transformation angle="hflip">
  </cl-transformation>
  <cl-transformation flags="layer_apply" gravity="west">
  </cl-transformation>
  <cl-transformation if="else">
  </cl-transformation>
  <cl-transformation height="1218" width="562" crop="fill">
  </cl-transformation>
  <cl-transformation gravity="north" overlay="iphone_x_notch" width="325" crop="scale">
  </cl-transformation>
  <cl-transformation if="end">
  </cl-transformation>
  <cl-transformation background="#000000" radius="54">
  </cl-transformation>
</cl-image>
.Net:
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cloudinary.Api.UrlImgUp.Transform(new Transformation()
  .If("ar_gt_1").Chain()
  .Height(562).Width(1218).Crop("fill").Chain()
  .Overlay(new Layer().PublicId("iphone_x_notch")).Width(325).Crop("scale").Chain()
  .Angle(90).Chain()
  .Angle("hflip").Chain()
  .Flags("layer_apply").Gravity("west").Chain()
  .If("else").Chain()
  .Height(1218).Width(562).Crop("fill").Chain()
  .Gravity("north").Overlay(new Layer().PublicId("iphone_x_notch")).Width(325).Crop("scale").Chain()
  .If("end").Chain()
  .Background("#000000").Radius(54)).BuildImageTag("spencer-watson-36.jpg")
Android:
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MediaManager.get().url().transformation(new Transformation()
  .if("ar_gt_1").chain()
  .height(562).width(1218).crop("fill").chain()
  .overlay(new Layer().publicId("iphone_x_notch")).width(325).crop("scale").chain()
  .angle(90).chain()
  .angle("hflip").chain()
  .flags("layer_apply").gravity("west").chain()
  .if("else").chain()
  .height(1218).width(562).crop("fill").chain()
  .gravity("north").overlay(new Layer().publicId("iphone_x_notch")).width(325).crop("scale").chain()
  .if("end").chain()
  .background("#000000").radius(54)).generate("spencer-watson-36.jpg");
iOS:
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imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation()
  .setIf("ar_gt_1").chain()
  .setHeight(562).setWidth(1218).setCrop("fill").chain()
  .setOverlay("iphone_x_notch").setWidth(325).setCrop("scale").chain()
  .setAngle(90).chain()
  .setAngle("hflip").chain()
  .setFlags("layer_apply").setGravity("west").chain()
  .setIf("else").chain()
  .setHeight(1218).setWidth(562).setCrop("fill").chain()
  .setGravity("north").setOverlay("iphone_x_notch").setWidth(325).setCrop("scale").chain()
  .setIf("end").chain()
  .setBackground("#000000").setRadius(54)).generate("spencer-watson-36.jpg")!, cloudinary: cloudinary)
image manipulation

Looking at the URL, you can see what it means:

  • if_ar_gt_1: If the aspect ratio of the image is greater than 1 (landscape):, c_fill,h_562,w_1218: resize the image to a height of 562 and a width of 1218 maintaining aspect ratio c_scale,l_iphone_x_notch,w_325: add the iphone_x_notch image as an overlay resized to a width of 325 (regardless of its aspect ratio) a_90/a_hflip: rotate the iphone_x_notch overlay by 90 degrees and do a horizontal mirror flip on it, g_west,fl_layer_apply: ensure the f the notch overlay is located on the far left of the parent image. End transformations to this layer.

  • if_else: But if the aspect ratio of the image is not greater than 1 (portrait): c_fill,h_1218,w_562: resize the image to a height of 1218 and a width of 562, maintaining aspect ratio c_scale,g_north,l_iphone_x_notch,w_325: add a layer of the iphonexnotch image resized to a width of 325 regardless of its aspect ratio and place it at the center-north of the parent image.

  • if_end: End the If statement.

  • b_rgb:000000,r_54: Apply a black background to the image and round the corners to a border radius of 54.

Let's take a look at this same transformation on another image, this time a landscape image. All you have to do is use the same conditional transformation URL with a different public ID:

Ruby:
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cl_image_tag("country_sunset.jpg", :transformation=>[
  {:if=>"ar_gt_1"},
  {:height=>562, :width=>1218, :crop=>"fill"},
  {:overlay=>"iphone_x_notch", :width=>325, :crop=>"scale"},
  {:angle=>90},
  {:angle=>"hflip"},
  {:flags=>"layer_apply", :gravity=>"west"},
  {:if=>"else"},
  {:height=>1218, :width=>562, :crop=>"fill"},
  {:gravity=>"north", :overlay=>"iphone_x_notch", :width=>325},
  {:if=>"end"},
  {:background=>"#000000", :radius=>54}
  ])
PHP:
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cl_image_tag("country_sunset.jpg", array("transformation"=>array(
  array("if"=>"ar_gt_1"),
  array("height"=>562, "width"=>1218, "crop"=>"fill"),
  array("overlay"=>"iphone_x_notch", "width"=>325, "crop"=>"scale"),
  array("angle"=>90),
  array("angle"=>"hflip"),
  array("flags"=>"layer_apply", "gravity"=>"west"),
  array("if"=>"else"),
  array("height"=>1218, "width"=>562, "crop"=>"fill"),
  array("gravity"=>"north", "overlay"=>"iphone_x_notch", "width"=>325),
  array("if"=>"end"),
  array("background"=>"#000000", "radius"=>54)
  )))
Python:
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CloudinaryImage("country_sunset.jpg").image(transformation=[
  {'if': "ar_gt_1"},
  {'height': 562, 'width': 1218, 'crop': "fill"},
  {'overlay': "iphone_x_notch", 'width': 325, 'crop': "scale"},
  {'angle': 90},
  {'angle': "hflip"},
  {'flags': "layer_apply", 'gravity': "west"},
  {'if': "else"},
  {'height': 1218, 'width': 562, 'crop': "fill"},
  {'gravity': "north", 'overlay': "iphone_x_notch", 'width': 325},
  {'if': "end"},
  {'background': "#000000", 'radius': 54}
  ])
Node.js:
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cloudinary.image("country_sunset.jpg", {transformation: [
  {if: "ar_gt_1"},
  {height: 562, width: 1218, crop: "fill"},
  {overlay: "iphone_x_notch", width: 325, crop: "scale"},
  {angle: 90},
  {angle: "hflip"},
  {flags: "layer_apply", gravity: "west"},
  {if: "else"},
  {height: 1218, width: 562, crop: "fill"},
  {gravity: "north", overlay: "iphone_x_notch", width: 325},
  {if: "end"},
  {background: "#000000", radius: 54}
  ]})
Java:
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cloudinary.url().transformation(new Transformation()
  .if("ar_gt_1").chain()
  .height(562).width(1218).crop("fill").chain()
  .overlay(new Layer().publicId("iphone_x_notch")).width(325).crop("scale").chain()
  .angle(90).chain()
  .angle("hflip").chain()
  .flags("layer_apply").gravity("west").chain()
  .if("else").chain()
  .height(1218).width(562).crop("fill").chain()
  .gravity("north").overlay(new Layer().publicId("iphone_x_notch")).width(325).chain()
  .if("end").chain()
  .background("#000000").radius(54)).imageTag("country_sunset.jpg");
JS:
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cloudinary.imageTag('country_sunset.jpg', {transformation: [
  {if: "ar_gt_1"},
  {height: 562, width: 1218, crop: "fill"},
  {overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325, crop: "scale"},
  {angle: 90},
  {angle: "hflip"},
  {flags: "layer_apply", gravity: "west"},
  {if: "else"},
  {height: 1218, width: 562, crop: "fill"},
  {gravity: "north", overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325},
  {if: "end"},
  {background: "#000000", radius: 54}
  ]}).toHtml();
jQuery:
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$.cloudinary.image("country_sunset.jpg", {transformation: [
  {if: "ar_gt_1"},
  {height: 562, width: 1218, crop: "fill"},
  {overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325, crop: "scale"},
  {angle: 90},
  {angle: "hflip"},
  {flags: "layer_apply", gravity: "west"},
  {if: "else"},
  {height: 1218, width: 562, crop: "fill"},
  {gravity: "north", overlay: new cloudinary.Layer().publicId("iphone_x_notch"), width: 325},
  {if: "end"},
  {background: "#000000", radius: 54}
  ]})
React:
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<Image publicId="country_sunset.jpg" >
  <Transformation if="ar_gt_1" />
  <Transformation height="562" width="1218" crop="fill" />
  <Transformation overlay="iphone_x_notch" width="325" crop="scale" />
  <Transformation angle="90" />
  <Transformation angle="hflip" />
  <Transformation flags="layer_apply" gravity="west" />
  <Transformation if="else" />
  <Transformation height="1218" width="562" crop="fill" />
  <Transformation gravity="north" overlay="iphone_x_notch" width="325" />
  <Transformation if="end" />
  <Transformation background="#000000" radius="54" />
</Image>
Vue.js:
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<cld-image publicId="country_sunset.jpg" >
  <cld-transformation if="ar_gt_1" />
  <cld-transformation height="562" width="1218" crop="fill" />
  <cld-transformation overlay="iphone_x_notch" width="325" crop="scale" />
  <cld-transformation angle="90" />
  <cld-transformation angle="hflip" />
  <cld-transformation flags="layer_apply" gravity="west" />
  <cld-transformation if="else" />
  <cld-transformation height="1218" width="562" crop="fill" />
  <cld-transformation gravity="north" overlay="iphone_x_notch" width="325" />
  <cld-transformation if="end" />
  <cld-transformation background="#000000" radius="54" />
</cld-image>
Angular:
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<cl-image public-id="country_sunset.jpg" >
  <cl-transformation if="ar_gt_1">
  </cl-transformation>
  <cl-transformation height="562" width="1218" crop="fill">
  </cl-transformation>
  <cl-transformation overlay="iphone_x_notch" width="325" crop="scale">
  </cl-transformation>
  <cl-transformation angle="90">
  </cl-transformation>
  <cl-transformation angle="hflip">
  </cl-transformation>
  <cl-transformation flags="layer_apply" gravity="west">
  </cl-transformation>
  <cl-transformation if="else">
  </cl-transformation>
  <cl-transformation height="1218" width="562" crop="fill">
  </cl-transformation>
  <cl-transformation gravity="north" overlay="iphone_x_notch" width="325">
  </cl-transformation>
  <cl-transformation if="end">
  </cl-transformation>
  <cl-transformation background="#000000" radius="54">
  </cl-transformation>
</cl-image>
.Net:
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cloudinary.Api.UrlImgUp.Transform(new Transformation()
  .If("ar_gt_1").Chain()
  .Height(562).Width(1218).Crop("fill").Chain()
  .Overlay(new Layer().PublicId("iphone_x_notch")).Width(325).Crop("scale").Chain()
  .Angle(90).Chain()
  .Angle("hflip").Chain()
  .Flags("layer_apply").Gravity("west").Chain()
  .If("else").Chain()
  .Height(1218).Width(562).Crop("fill").Chain()
  .Gravity("north").Overlay(new Layer().PublicId("iphone_x_notch")).Width(325).Chain()
  .If("end").Chain()
  .Background("#000000").Radius(54)).BuildImageTag("country_sunset.jpg")
Android:
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MediaManager.get().url().transformation(new Transformation()
  .if("ar_gt_1").chain()
  .height(562).width(1218).crop("fill").chain()
  .overlay(new Layer().publicId("iphone_x_notch")).width(325).crop("scale").chain()
  .angle(90).chain()
  .angle("hflip").chain()
  .flags("layer_apply").gravity("west").chain()
  .if("else").chain()
  .height(1218).width(562).crop("fill").chain()
  .gravity("north").overlay(new Layer().publicId("iphone_x_notch")).width(325).chain()
  .if("end").chain()
  .background("#000000").radius(54)).generate("country_sunset.jpg");
iOS:
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imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation()
  .setIf("ar_gt_1").chain()
  .setHeight(562).setWidth(1218).setCrop("fill").chain()
  .setOverlay("iphone_x_notch").setWidth(325).setCrop("scale").chain()
  .setAngle(90).chain()
  .setAngle("hflip").chain()
  .setFlags("layer_apply").setGravity("west").chain()
  .setIf("else").chain()
  .setHeight(1218).setWidth(562).setCrop("fill").chain()
  .setGravity("north").setOverlay("iphone_x_notch").setWidth(325).chain()
  .setIf("end").chain()
  .setBackground("#000000").setRadius(54)).generate("country_sunset.jpg")!, cloudinary: cloudinary)
Test landscape image on iPhone X

Bundle Transformations with Named Transformation

Let’s do one more cool thing, it feels weird to have to write all those transformation parameters for every image to be transformed. Cloudinary offers the named transformation feature which is used to bundle transformation parameter into one single re-usable parameter.

In the transformation panel of the Cloudinary dashboard, a list of all transformations currently delivered by Cloudinary on the current user account can be found. Click the edit link at the bottom of each transformation and use “Save as” to save the transformation with whichever name you choose. I choose “iphonex”. Once saved, on the list of transformations you can find the named transformation listed as iphonex. This “transformation pack” is now available to all images stored and can be applied to our test image with:

Ruby:
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cl_image_tag("spencer-watson.jpg", :transformation=>["iphonex"])
PHP:
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cl_image_tag("spencer-watson.jpg", array("transformation"=>array("iphonex")))
Python:
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CloudinaryImage("spencer-watson.jpg").image(transformation=["iphonex"])
Node.js:
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cloudinary.image("spencer-watson.jpg", {transformation: ["iphonex"]})
Java:
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cloudinary.url().transformation(new Transformation().named("iphonex")).imageTag("spencer-watson.jpg");
JS:
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cloudinary.imageTag('spencer-watson.jpg', {transformation: ["iphonex"]}).toHtml();
jQuery:
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$.cloudinary.image("spencer-watson.jpg", {transformation: ["iphonex"]})
React:
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<Image publicId="spencer-watson.jpg" >
  <Transformation transformation={["iphonex"]} />
</Image>
Vue.js:
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<cld-image publicId="spencer-watson.jpg" >
  <cld-transformation transformation={["iphonex"]} />
</cld-image>
Angular:
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<cl-image public-id="spencer-watson.jpg" >
  <cl-transformation transformation={{["iphonex"]}}>
  </cl-transformation>
</cl-image>
.Net:
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cloudinary.Api.UrlImgUp.Transform(new Transformation().Named("iphonex")).BuildImageTag("spencer-watson.jpg")
Android:
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MediaManager.get().url().transformation(new Transformation().named("iphonex")).generate("spencer-watson.jpg");
iOS:
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imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setNamed("iphonex")).generate("spencer-watson.jpg")!, cloudinary: cloudinary)
iPhone X

Read more on named transformations here and how to implement them here.

Conclusion

Now you have seen how you can manipulate your images to test how they look on the iPhone X screen. You can try this out with several other images and if you are building a product be sure to test it to see how it looks on the iPhone X. This is just one of an unlimited number of cool things you can do with the Cloudinary image manipulation parameters. Check out the demo here

Recent Blog Posts

Transitioning JPEG-Based to JPEG XL-Based Images for Web Platforms

When the JPEG codec was being developed in the late 1980s, no standardized, lossy image-compression formats existed. JPEG became ready at exactly the right time in 1992, when the World Wide Web and digital cameras were about to become a thing. The introduction of HTML’s <img> tag in 1995 ensured the recognition of JPEG as the web format—at least for photographs. During the 1990s, digital cameras replaced analog ones and, given the limited memory capacities of that era, JPEG became the standard format for photography, especially for consumer-grade cameras.

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Amplify Your Jamstack With Video

By Alex Patterson
Amplify Your Jamstack With Cloudinary Video

As defined by Amazon Web Services (AWS), Amplify is a set of products and tools with which mobile and front-end web developers can build and deploy AWS-powered, secure, and scalable full-stack apps. Also, you can efficiently configure their back ends, connect them to your app with just a few lines of code, and deploy static web apps in only three steps. Historically, because of their performance issues, managing images and videos is a daunting challenge for developers. Even though you can easily load media to an S3 bucket with AWS Amplify, transforming, compressing, and responsively delivering them is labor intensive and time consuming.

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Cloudinary Helps Move James Hardie’s Experience Online

While COVID has affected most businesses, it has been particularly hard on those that sell products for the physical ‘brick and mortar’ world. One company that literally fits that bill is our Australian customer James Hardie, the largest global manufacturer of fibre cement products used in both domestic and commercial construction. These are materials that its buyers ideally want to see up close, in detail. When customers have questions, they expect personal service.

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How to Build an Enhanced Gravatar Service, Part 2

Part 1 of this post defines the capabilities of an enhanced Gravatar service, which I named Clavatar, and describes the following initial steps for building it:

This post, part 2 of the series, explains how to make Clavatar work like Gravatar and to develop Clavatar’s capabilities of enabling requests for various versions of the images related to user accounts.

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