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vera.lernnetz.de screenshot

Report Summary

  • 0

    Performance

  • 0

    Accessibility

  • 0

    Best Practices

  • 0

    SEO

vera.lernnetz.de

Start - VERA – Fortbildung und Materialien

Page Load Speed

2.9 sec in total

First Response

312 ms

Resources Loaded

2.4 sec

Page Rendered

179 ms

vera.lernnetz.de screenshot

About Website

Click here to check amazing VERA Lernnetz content for Germany. Otherwise, check out these important facts you probably never knew about vera.lernnetz.de

Visit vera.lernnetz.de

Key Findings

We analyzed Vera.lernnetz.de page load time and found that the first response time was 312 ms and then it took 2.6 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.

Performance Metrics

vera.lernnetz.de performance score

0

Network Requests Diagram

vera.lernnetz.de

312 ms

VERA_node.html

307 ms

vera.schleswig-holstein.de

506 ms

visual.css

237 ms

screen-a.css

234 ms

Our browser made a total of 33 requests to load all elements on the main page. We found that 3% of them (1 request) were addressed to the original Vera.lernnetz.de, 94% (31 requests) were made to Vera.schleswig-holstein.de and 3% (1 request) were made to Schleswig-holstein.de. The less responsive or slowest element that took the longest time to load (506 ms) relates to the external source Vera.schleswig-holstein.de.

Page Optimization Overview & Recommendations

Page size can be reduced by 132.8 kB (66%)

Content Size

201.8 kB

After Optimization

69.1 kB

  • HTML
  • Images
  • CSS

In fact, the total size of Vera.lernnetz.de main page is 201.8 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 15% of websites need less resources to load. CSS take 141.7 kB which makes up the majority of the site volume.

HTML Optimization

-75%

Potential reduce by 11.5 kB

  • Original 15.3 kB
  • After minification 13.4 kB
  • After compression 3.8 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 2.0 kB, which is 13% 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 11.5 kB or 75% of the original size.

Image Optimization

-4%

Potential reduce by 1.6 kB

  • Original 44.9 kB
  • After minification 43.3 kB

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. VERA Lernnetz images are well optimized though.

CSS Optimization

-84%

Potential reduce by 119.7 kB

  • Original 141.7 kB
  • After minification 114.6 kB
  • After compression 22.0 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. Vera.lernnetz.de needs all CSS files to be minified and compressed as it can save up to 119.7 kB or 84% of the original size.

Requests Breakdown

Number of requests can be reduced by 16 (57%)

Requests Now

28

After Optimization

12

  • Images
  • CSS

The browser has sent 28 CSS, Javascripts, AJAX and image requests in order to completely render the main page of VERA Lernnetz. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 12 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

vera.lernnetz.de

vera.lernnetz.de

312 ms

VERA_node.html

VERA_node.html

307 ms

vera.schleswig-holstein.de

vera.schleswig-holstein.de

506 ms

visual.css

visual.css

237 ms

screen-a.css

screen-a.css

234 ms

skin_gsb-color-scheme-a.css

skin_gsb-color-scheme-a.css

340 ms

lib.js

lib.js

236 ms

module_layout.css

module_layout.css

135 ms

skin_gsb-basis.css

skin_gsb-basis.css

239 ms

termine.css

termine.css

136 ms

dataport.css

dataport.css

438 ms

module_undo_html.css

module_undo_html.css

236 ms

skin_gsb.css

skin_gsb.css

237 ms

bg_body__blob=normal.jpg

bg_body__blob=normal.jpg

139 ms

shadow_right_02__blob=normal.gif

shadow_right_02__blob=normal.gif

138 ms

shadow_right__blob=normal.jpg

shadow_right__blob=normal.jpg

138 ms

keyvisual_bildung__blob=normal.jpg

keyvisual_bildung__blob=normal.jpg

138 ms

logo_portal_flag.gif

logo_portal_flag.gif

135 ms

logo_bildung.gif

logo_bildung.gif

137 ms

icon_link_a__blob=normal.gif

icon_link_a__blob=normal.gif

270 ms

icon_dot__blob=normal.gif

icon_dot__blob=normal.gif

288 ms

icon_link_b__blob=normal.gif

icon_link_b__blob=normal.gif

272 ms

icon_navArrow__blob=normal.gif

icon_navArrow__blob=normal.gif

269 ms

icon_linkArrow_back__blob=normal.gif

icon_linkArrow_back__blob=normal.gif

269 ms

shadow_bottomLeftFull__blob=normal.jpg

shadow_bottomLeftFull__blob=normal.jpg

271 ms

icon_facebook_16.png

icon_facebook_16.png

400 ms

icon_twitter_16.png

icon_twitter_16.png

399 ms

icon_vz_16.png

icon_vz_16.png

400 ms

icon_myspace_16.png

icon_myspace_16.png

400 ms

shadow_bottomRight__blob=normal.jpg

shadow_bottomRight__blob=normal.jpg

401 ms

print.css

print.css

135 ms

skin_gsb.css

skin_gsb.css

135 ms

dataport_print.css

dataport_print.css

137 ms

SEO Factors

vera.lernnetz.de SEO score

0

Language and Encoding

  • Language Detected

    DE

  • Language Claimed

    DE

  • Encoding

    ISO-8859-1

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Vera.lernnetz.de can be misinterpreted by Google and other search engines. Our service has detected that German is used on the page, and it matches the claimed language. Our system also found out that Vera.lernnetz.de main page’s claimed encoding is iso-8859-1. Changing it to UTF-8 can be a good choice, as this format is commonly used for encoding all over the web and thus their visitors won’t have any troubles with symbol transcription or reading.

Social Sharing Optimization

vera.lernnetz.de

Open Graph description is not detected on the main page of VERA Lernnetz. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: