2.5 sec in total
176 ms
1.9 sec
428 ms
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Find the latest Cisco cloud and network management solutions that can help you more effectively deploy, monitor, and orchestrate your IT operations.
Visit learn.ciscoWe analyzed Learn.cisco page load time and found that the first response time was 176 ms and then it took 2.3 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 45% of websites can load faster.
learn.cisco performance score
name
value
score
weighting
Value4.5 s
15/100
10%
Value21.1 s
0/100
25%
Value13.5 s
2/100
10%
Value4,880 ms
0/100
30%
Value0.721
6/100
15%
Value27.5 s
0/100
10%
176 ms
190 ms
70 ms
40 ms
36 ms
Our browser made a total of 46 requests to load all elements on the main page. We found that 0% of them (0 request) were addressed to the original Learn.cisco, 2% (1 request) were made to S.go-mpulse.net and 2% (1 request) were made to C.go-mpulse.net. The less responsive or slowest element that took the longest time to load (564 ms) relates to the external source Cisco.com.
Page size can be reduced by 918.1 kB (67%)
1.4 MB
459.0 kB
In fact, the total size of Learn.cisco main page is 1.4 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. 30% of websites need less resources to load. Javascripts take 1.1 MB which makes up the majority of the site volume.
Potential reduce by 69.0 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 14.8 kB, which is 18% 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 69.0 kB or 85% of the original size.
Potential reduce by 0 B
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. Learn images are well optimized though.
Potential reduce by 808.3 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 808.3 kB or 73% of the original size.
Potential reduce by 40.9 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. Learn.cisco needs all CSS files to be minified and compressed as it can save up to 40.9 kB or 29% of the original size.
Number of requests can be reduced by 35 (80%)
44
9
The browser has sent 44 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Learn. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 23 to 1 for JavaScripts and from 14 to 1 for CSS and as a result speed up the page load time.
index.html
176 ms
cdcrSwitch.js
190 ms
ctm-core.js
70 ms
regional-mbox.js
40 ms
jquery.min.js
36 ms
utils.min.js
47 ms
granite.min.js
35 ms
jquery.min.js
47 ms
shared.min.js
298 ms
underscore.min.js
50 ms
kernel.min.js
57 ms
cisco-sans.min.css
58 ms
foundation.min.js
72 ms
responsive.min.css
251 ms
cdc-header.js
69 ms
clientLib.min.css
83 ms
base-v2.min.css
83 ms
base.min.css
119 ms
base.min.js
94 ms
clientLib-v2.min.css
94 ms
u.min.js
103 ms
clientLib-v2.min.css
105 ms
a11y-menu.min.js
334 ms
clientLib-v2.min.js
116 ms
clientLib-v2.min.css
328 ms
chatbot.js
165 ms
clientLib-v2.min.css
266 ms
clientLib.min.css
258 ms
clientLib.min.js
353 ms
clientLib-v2.min.css
269 ms
clientLib.min.css
295 ms
clientLib-v2.min.css
279 ms
clientLib-v2.min.js
291 ms
text-v2.min.css
311 ms
cdc-footer.js
447 ms
responsive.min.js
338 ms
res_marketing_metrics_rules.js
564 ms
cdcrSwitch.js
272 ms
token.json
98 ms
GKZXC-NS3SU-A7VFH-HKBHM-U7LKH
40 ms
grey-arrows-up-down.png
74 ms
config.json
51 ms
segmentation.segment.js
31 ms
stores.init.js
126 ms
AS86643-1600x320.jpg
150 ms
1617087975404.jpg
170 ms
learn.cisco accessibility score
ARIA
These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
[aria-*] attributes do not match their roles
Navigation
These are opportunities to improve keyboard navigation in your application.
Impact
Issue
[id] attributes on active, focusable elements are not unique
learn.cisco best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Includes front-end JavaScript libraries with known security vulnerabilities
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
learn.cisco SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Links do not have descriptive text
Crawling and Indexing
To appear in search results, crawlers need access to your app.
Impact
Issue
Links are not crawlable
robots.txt is not valid
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
Document uses legible font sizes
Tap targets are not sized appropriately
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Learn.cisco 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 Learn.cisco 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.
learn.cisco
Open Graph data is detected on the main page of Learn. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: