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Report Summary

  • 22

    Performance

    Renders faster than
    41% of other websites

  • 98

    Accessibility

    Visual factors better than
    that of 95% of websites

  • 75

    Best Practices

    More advanced features
    available than in
    36% of websites

  • 93

    SEO

    Google-friendlier than
    84% of websites

azure.ai

Azure AI Platform—Artificial Intelligence | Microsoft Azure

Page Load Speed

5.2 sec in total

First Response

86 ms

Resources Loaded

3.3 sec

Page Rendered

1.8 sec

azure.ai screenshot

About Website

Click here to check amazing Azure content for Nigeria. Otherwise, check out these important facts you probably never knew about azure.ai

Create applications for machine translation, conversational AI, and document processing using Azure AI, an artificial intelligence platform.

Visit azure.ai

Key Findings

We analyzed Azure.ai page load time and found that the first response time was 86 ms and then it took 5.1 sec to load all DOM resources and completely render a web page. This is a poor result, as 70% of websites can load faster.

Performance Metrics

azure.ai performance score

22

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value4.7 s

13/100

10%

LCP (Largest Contentful Paint)

Value8.0 s

2/100

25%

SI (Speed Index)

Value11.3 s

5/100

10%

TBT (Total Blocking Time)

Value1,440 ms

15/100

30%

CLS (Cumulative Layout Shift)

Value0

100/100

15%

TTI (Time to Interactive)

Value32.5 s

0/100

10%

Network Requests Diagram

ai-platform

86 ms

46 ms

20 ms

123 ms

core.css

121 ms

Our browser made a total of 188 requests to load all elements on the main page. We found that 0% of them (0 request) were addressed to the original Azure.ai, 2% (4 requests) were made to Azure.microsoft.com and 1% (2 requests) were made to Js.monitor.azure.com. The less responsive or slowest element that took the longest time to load (1.5 sec) relates to the external source Lpcdn.lpsnmedia.net.

Page Optimization Overview & Recommendations

Page size can be reduced by 527.3 kB (15%)

Content Size

3.4 MB

After Optimization

2.9 MB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Azure.ai main page is 3.4 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 85% of websites need less resources to load and that’s why Accessify’s recommendations for optimization and resource minification can be helpful for this project. Images take 2.9 MB which makes up the majority of the site volume.

HTML Optimization

-88%

Potential reduce by 375.1 kB

  • Original 425.5 kB
  • After minification 319.6 kB
  • After compression 50.4 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. This page needs HTML code to be minified as it can gain 105.9 kB, which is 25% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 375.1 kB or 88% of the original size.

Image Optimization

-4%

Potential reduce by 108.5 kB

  • Original 2.9 MB
  • After minification 2.7 MB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Azure images are well optimized though.

JavaScript Optimization

-30%

Potential reduce by 15.7 kB

  • Original 52.8 kB
  • After minification 52.7 kB
  • After compression 37.1 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 15.7 kB or 30% of the original size.

CSS Optimization

-29%

Potential reduce by 27.9 kB

  • Original 97.0 kB
  • After minification 97.0 kB
  • After compression 69.1 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Azure.ai needs all CSS files to be minified and compressed as it can save up to 27.9 kB or 29% of the original size.

Requests Breakdown

Number of requests can be reduced by 38 (21%)

Requests Now

183

After Optimization

145

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 183 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Azure. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 21 to 1 for JavaScripts and as a result speed up the page load time.

Network Requests Diagram

ai-platform

ai-platform

86 ms

46 ms

20 ms

123 ms

core.css

core.css

121 ms

at-config.1ds.js

at-config.1ds.js

159 ms

at.2.9.0.js

at.2.9.0.js

156 ms

header.js

header.js

153 ms

jquery-3.3.1.min.js

jquery-3.3.1.min.js

152 ms

wcp-consent.js

wcp-consent.js

207 ms

LivePersonChat-iframe.js

LivePersonChat-iframe.js

154 ms

deprecation.js

deprecation.js

151 ms

core.js

core.js

154 ms

virtual-machines.svg

virtual-machines.svg

35 ms

virtual-desktop.svg

virtual-desktop.svg

39 ms

azure-sql.svg

azure-sql.svg

37 ms

cosmos-db.svg

cosmos-db.svg

41 ms

kubernetes-service.svg

kubernetes-service.svg

30 ms

cognitive-services.svg

cognitive-services.svg

39 ms

app-service.svg

app-service.svg

132 ms

playfab.svg

playfab.svg

124 ms

functions.svg

functions.svg

120 ms

quantum.svg

quantum.svg

128 ms

azure-arc.svg

azure-arc.svg

133 ms

azure-applied-ai-services.svg

azure-applied-ai-services.svg

124 ms

form-recognizer.svg

form-recognizer.svg

258 ms

machine-learning-service.svg

machine-learning-service.svg

256 ms

search.svg

search.svg

261 ms

bot-services.svg

bot-services.svg

259 ms

databricks.svg

databricks.svg

251 ms

kinect-dk.svg

kinect-dk.svg

263 ms

openai-service.svg

openai-service.svg

272 ms

synapse-analytics.svg

synapse-analytics.svg

279 ms

purview.svg

purview.svg

273 ms

data-factory.svg

data-factory.svg

279 ms

hdinsight.svg

hdinsight.svg

282 ms

stream-analytics.svg

stream-analytics.svg

276 ms

analysis-services.svg

analysis-services.svg

285 ms

data-lake.svg

data-lake.svg

297 ms

data-explorer.svg

data-explorer.svg

299 ms

virtual-machine-scale-sets.svg

virtual-machine-scale-sets.svg

293 ms

azure-spring-cloud.svg

azure-spring-cloud.svg

287 ms

energy-services.svg

energy-services.svg

301 ms

batch.svg

batch.svg

315 ms

openshift.svg

openshift.svg

306 ms

container-apps.svg

container-apps.svg

307 ms

app-service-containers.svg

app-service-containers.svg

308 ms

container-instances.svg

container-instances.svg

309 ms

ai.2.min.js

ai.2.min.js

255 ms

service-fabric.svg

service-fabric.svg

316 ms

container-registry.svg

container-registry.svg

560 ms

azure-sql-database.svg

azure-sql-database.svg

531 ms

postgresql.svg

postgresql.svg

554 ms

azure-sql-managed-instance.svg

azure-sql-managed-instance.svg

529 ms

mysql.svg

mysql.svg

566 ms

cache.svg

cache.svg

562 ms

iframe-cs.html

iframe-cs.html

524 ms

database-migration.svg

database-migration.svg

509 ms

apache-cassandra.svg

apache-cassandra.svg

542 ms

mariadb.svg

mariadb.svg

543 ms

azure-devops.svg

azure-devops.svg

539 ms

azure-pipelines.svg

azure-pipelines.svg

540 ms

azure-boards.svg

azure-boards.svg

426 ms

azure-repos.svg

azure-repos.svg

446 ms

azure-artifacts.svg

azure-artifacts.svg

447 ms

azure-test-plans.svg

azure-test-plans.svg

418 ms

devtest-lab.svg

devtest-lab.svg

450 ms

monitor.svg

monitor.svg

449 ms

load-testing.svg

load-testing.svg

442 ms

managed-grafana.svg

managed-grafana.svg

442 ms

visual-studio.svg

visual-studio.svg

514 ms

visual-studio-code.svg

visual-studio-code.svg

509 ms

powerapps.svg

powerapps.svg

502 ms

sdk.svg

sdk.svg

522 ms

app-center.svg

app-center.svg

520 ms

azure-sentinel.svg

azure-sentinel.svg

520 ms

azure-stack.svg

azure-stack.svg

517 ms

security-center.svg

security-center.svg

538 ms

expressroute.svg

expressroute.svg

541 ms

active-directory.svg

active-directory.svg

601 ms

iot-edge.svg

iot-edge.svg

536 ms

active-directory-external-identities.svg

active-directory-external-identities.svg

526 ms

active-directory-ds.svg

active-directory-ds.svg

601 ms

app-service-logic.svg

app-service-logic.svg

608 ms

service-bus.svg

service-bus.svg

603 ms

api-management.svg

api-management.svg

605 ms

event-grid.svg

event-grid.svg

482 ms

iot-hub.svg

iot-hub.svg

414 ms

digital-twins.svg

digital-twins.svg

407 ms

iot-central.svg

iot-central.svg

404 ms

azure-sphere.svg

azure-sphere.svg

398 ms

azure-rtos.svg

azure-rtos.svg

404 ms

sprites_v1.png

sprites_v1.png

1477 ms

ms.analytics-web-3.min.js

ms.analytics-web-3.min.js

624 ms

percept.svg

percept.svg

387 ms

azure-maps.svg

azure-maps.svg

365 ms

cloud-shell.svg

cloud-shell.svg

365 ms

advisor.svg

advisor.svg

495 ms

backup.svg

backup.svg

386 ms

cost-management.svg

cost-management.svg

402 ms

azure-policy.svg

azure-policy.svg

374 ms

site-recovery.svg

site-recovery.svg

396 ms

chaos-studio.svg

chaos-studio.svg

382 ms

media-services.svg

media-services.svg

448 ms

media-encoding.svg

media-encoding.svg

422 ms

media-player.svg

media-player.svg

423 ms

media-ondemand.svg

media-ondemand.svg

421 ms

media-protection.svg

media-protection.svg

382 ms

cdn.svg

cdn.svg

390 ms

azure-migrate.svg

azure-migrate.svg

421 ms

databox.svg

databox.svg

412 ms

spatial-anchors.svg

spatial-anchors.svg

379 ms

remote-rendering.svg

remote-rendering.svg

379 ms

notification-hubs.svg

notification-hubs.svg

340 ms

xamarin.svg

xamarin.svg

489 ms

virtual-network.svg

virtual-network.svg

406 ms

load-balancer.svg

load-balancer.svg

508 ms

application-gateway.svg

application-gateway.svg

425 ms

vpn-gateway.svg

vpn-gateway.svg

413 ms

dns.svg

dns.svg

427 ms

ddos-protection.svg

ddos-protection.svg

427 ms

azure-network-function-manager.svg

azure-network-function-manager.svg

457 ms

virtual-network-manager.svg

virtual-network-manager.svg

418 ms

private-link.svg

private-link.svg

439 ms

Intl.min.js

Intl.min.js

445 ms

en-us.js

en-us.js

401 ms

key-vault.svg

key-vault.svg

388 ms

azure-bastion.svg

azure-bastion.svg

591 ms

web-application-firewall.svg

web-application-firewall.svg

586 ms

azure-firewall.svg

azure-firewall.svg

589 ms

latest.woff2

latest.woff2

781 ms

disks.svg

disks.svg

575 ms

storage-files.svg

storage-files.svg

581 ms

netapp.svg

netapp.svg

607 ms

storage-blobs.svg

storage-blobs.svg

577 ms

archive-storage.svg

archive-storage.svg

595 ms

app-service-web.svg

app-service-web.svg

581 ms

signalr-service.svg

signalr-service.svg

565 ms

web-pubsub.svg

web-pubsub.svg

581 ms

app-service-static.svg

app-service-static.svg

583 ms

fluid-relay.svg

fluid-relay.svg

565 ms

lab-services.svg

lab-services.svg

558 ms

overviewtab1.png

overviewtab1.png

591 ms

overviewtab2.png

overviewtab2.png

588 ms

overviewtab3.png

overviewtab3.png

631 ms

overviewtab4.png

overviewtab4.png

619 ms

forrester_m.png

forrester_m.png

614 ms

gartner_m.png

gartner_m.png

608 ms

idc_m.png

idc_m.png

605 ms

gigaom.png

gigaom.png

584 ms

omdia_m.png

omdia_m.png

605 ms

nba.png

nba.png

539 ms

airbus_m.png

airbus_m.png

504 ms

nhs_s.png

nhs_s.png

501 ms

walgreensbootsalliance.png

walgreensbootsalliance.png

483 ms

nestle_m.png

nestle_m.png

484 ms

bbc.png

bbc.png

481 ms

ct-nba.png

ct-nba.png

468 ms

airbus.png

airbus.png

469 ms

nhs.png

nhs.png

465 ms

walgreens.png

walgreens.png

459 ms

nestle.png

nestle.png

491 ms

scenarioHealth.js

scenarioHealth.js

407 ms

munchkin.js

munchkin.js

453 ms

bbc.png

bbc.png

269 ms

thumbnail-machine-learning.jpg

thumbnail-machine-learning.jpg

260 ms

thumbnail-knowledge-mining.jpg

thumbnail-knowledge-mining.jpg

259 ms

cog-services.gif

cog-services.gif

372 ms

machine-translation.png

machine-translation.png

266 ms

ai-poweredapps.gif

ai-poweredapps.gif

387 ms

forrester-ebook-cover.jpg

forrester-ebook-cover.jpg

216 ms

scale.jpg

scale.jpg

216 ms

principles-data-science.jpg

principles-data-science.jpg

220 ms

github-icon.svg

github-icon.svg

213 ms

resources-alt-dark.svg

resources-alt-dark.svg

180 ms

book-alt-dark.svg

book-alt-dark.svg

190 ms

portal.jpg

portal.jpg

194 ms

chat.svg

chat.svg

182 ms

aiplatform.png

aiplatform.png

167 ms

learning-journey-graphic.png

learning-journey-graphic.png

174 ms

video-embed.html

video-embed.html

278 ms

munchkin.js

munchkin.js

34 ms

ms.jsll-3.min.js

ms.jsll-3.min.js

22 ms

index-video.js

index-video.js

20 ms

analytics.js

analytics.js

65 ms

seo.js

seo.js

52 ms

tagging.js

tagging.js

64 ms

acom-es-config.min.js

acom-es-config.min.js

63 ms

Accessibility Review

azure.ai accessibility score

98

Accessibility Issues

Contrast

These are opportunities to improve the legibility of your content.

Impact

Issue

High

Background and foreground colors do not have a sufficient contrast ratio.

Best Practices

azure.ai best practices score

75

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

High

Includes front-end JavaScript libraries with known security vulnerabilities

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

High

Browser errors were logged to the console

High

Missing source maps for large first-party JavaScript

SEO Factors

azure.ai SEO score

93

Search Engine Optimization Advices

Content Best Practices

Format your HTML in a way that enables crawlers to better understand your app’s content.

Impact

Issue

High

Links do not have descriptive text

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Azure.ai can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Azure.ai main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

azure.ai

Open Graph data is detected on the main page of Azure. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: