insidebigdata.com Website Information
Daily Unique Visits: 35,069
Daily Page Views: 210,414
Income Per Day: $421
Estimated Value: $303,120
insidebigdata.com is registered under .COM top-level domain. Please check other sites in .COM zone.
No name server records were found.
and is probably hosted by CLOUDFLARESPECTRUM Cloudflare, Inc., GB. See the full list of other websites hosted by CLOUDFLARESPECTRUM Cloudflare, Inc., GB.
The highest website insidebigdata.com position in Alexa rank database was 36087 and the lowest rank position was 86854. Current position of insidebigdata.com in Alexa rank database is 40897.
Desktop speed score of insidebigdata.com (73/100) is better than the results of 56.16% of other sites and shows that the page desktop performance can be improved.
Mobile usability score of insidebigdata.com (99/100) is better than the results of 79.46% of other sites and means that the page is mobile-friendly.
Mobile speed score of insidebigdata.com (47/100) is better than the results of 28.68% of other sites and shows that the landing page performance on mobile devices is poor and can be improved.
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insidebigdata.com Alexa Rank
The traffic rank is based on three months of aggregated historical traffic data from millions of Alexa Toolbar users and is a combined measure of page views and users.
insidebigdata.com whois
WHOIS gives you the ability to lookup any generic domains to find out the registered domain holder. WHOIS database are provided for information purposes only. It allows the public to check whether a specific domain name is still available or not and to obtain information related to the registration records of existing domain names.
Domain Name: INSIDEBIGDATA.COM
Registry Domain ID: 1665538998_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.godaddy.com
Registrar URL: http://www.godaddy.com
Updated Date: 2024-07-07T16:30:58Z
Creation Date: 2011-07-06T15:22:36Z
Registry Expiry Date: 2025-07-06T15:22:36Z
Registrar: GoDaddy.com, LLC
Registrar IANA ID: 146
Registrar Abuse Contact Email: abuse@godaddy.com
Registrar Abuse Contact Phone: 480-624-2505
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Name Server: NS77.DOMAINCONTROL.COM
Name Server: NS78.DOMAINCONTROL.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2024-09-28T16:06:54Z
Registry Domain ID: 1665538998_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.godaddy.com
Registrar URL: http://www.godaddy.com
Updated Date: 2024-07-07T16:30:58Z
Creation Date: 2011-07-06T15:22:36Z
Registry Expiry Date: 2025-07-06T15:22:36Z
Registrar: GoDaddy.com, LLC
Registrar IANA ID: 146
Registrar Abuse Contact Email: abuse@godaddy.com
Registrar Abuse Contact Phone: 480-624-2505
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Name Server: NS77.DOMAINCONTROL.COM
Name Server: NS78.DOMAINCONTROL.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2024-09-28T16:06:54Z
insidebigdata.com server information
Servers Location
insidebigdata.com desktop page speed rank
Last tested: 2019-06-19
Desktop Speed
Medium
73/100
insidebigdata.com Desktop Speed Test Quick Summary
priority - 14Eliminate render-blocking JavaScript and CSS in above-the-fold content
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priority - 3Leverage browser caching
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insidebigdata.com Desktop Resource Breakdown
| Total Resources | 106 |
| Number of Hosts | 22 |
| Static Resources | 81 |
| JavaScript Resources | 41 |
| CSS Resources | 17 |
insidebigdata.com mobile page speed rank
Last tested: 2018-12-07
Mobile Speed
Bad
47/100
insidebigdata.com Mobile Speed Test Quick Summary
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priority - 14Optimize images
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priority - 10Avoid landing page redirects
Your page has 2 redirects. Redirects introduce additional delays before the page can be loaded.
Avoid landing page redirects for the following chain of redirected URLs.
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priority - 8Prioritize visible content
Your page requires additional network round trips to render the above-the-fold content. For best performance, reduce the amount of HTML needed to render above-the-fold content.
The entire HTML response was not sufficient to render the above-the-fold content. This usually indicates that additional resources, loaded after HTML parsing, were required to render above-the-fold content. Prioritize visible content that is needed for rendering above-the-fold by including it directly in the HTML response.
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Click to see the screenshot with only the HTML response:
priority - 6Leverage browser caching
Setting an expiry date or a maximum age in the HTTP headers for static resources instructs the browser to load previously downloaded resources from local disk rather than over the network.
Leverage browser caching for the following cacheable resources:
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priority - 4Minify JavaScript
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priority - 0Minify CSS
Compacting CSS code can save many bytes of data and speed up download and parse times.
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insidebigdata.com Mobile Resource Breakdown
| Total Resources | 118 |
| Number of Hosts | 26 |
| Static Resources | 85 |
| JavaScript Resources | 49 |
| CSS Resources | 17 |
insidebigdata.com mobile page usability
Last tested: 2018-12-07
Mobile Usability
Good
99/100
insidebigdata.com Mobile Usability Test Quick Summary
priority - 1Size tap targets appropriately
Some of the links/buttons on your webpage may be too small for a user to easily tap on a touchscreen. Consider making these tap targets larger to provide a better user experience.
The following tap targets are close to other nearby tap targets and may need additional spacing around them.
The tap target
<a href="https://inside…deep-learning/">AI Deep Learning</a> and 4 others are close to other tap targets.The tap target
<a href="https://inside…cial-sections/" class="sf-with-ul">Special Sections »</a> and 1 others are close to other tap targets.The tap target
<a href="https://inside…november-2018/">TOP 10 insideB…November 2018</a> is close to 1 other tap targets.The tap target
<a href="https://inside…november-2018/"></a> is close to 1 other tap targets.The tap target
<a href="http://feedpro…3/-J4-XQsi8nQ/" class="rsswidget">Beyond Semicon…d Pave the Way</a> and 9 others are close to other tap targets.The tap target
<a href="https://twitte…/insidebigdata"></a> and 3 others are close to other tap targets.The tap target
<a class="street-dialog-close">×</a> is close to 3 other tap targets.The tap target
<a class="street-dialog-close">×</a> is close to 3 other tap targets.The tap target
<a href="//ad.broadstre…122401/z59514?"></a> is close to 1 other tap targets.insidebigdata.com HTML validation
Errors
Almost standards mode doctype. Expected “<!DOCTYPE html>”.
Line: 1 Column: 1 - 121
"...<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html..."
"...<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html..."
The “profile” attribute on the “head” element is obsolete. To declare which “meta” terms are used in the document, instead register the names as meta extensions. To trigger specific UA behaviors, use a “link” element instead.
Line: 3 Column: 130 - 39
"...e/ns/fb#"> <head profile="http://gmpg.org/xfn/11"> <meta..."
"...e/ns/fb#"> <head profile="http://gmpg.org/xfn/11"> <meta..."
Bad value “https://api.w.org/” for attribute “rel” on element “link”: The string “https://api.w.org/” is not a registered keyword.
Line: 91 Column: 1 - 75
"...4.6.7" /> <link rel='https://api.w.org/' href='https://insidebigdata.com/wp-json/' /> <link..."
"...4.6.7" /> <link rel='https://api.w.org/' href='https://insidebigdata.com/wp-json/' /> <link..."
No space between attributes.
Line: 675 Column: - 250
"...ge" width="150"height="51 "sty..." Line: 675 Column: - 262
"...50"height="51 "style="float: l..." Line: 685 Column: - 290
"...ge" width="120"height="103 "st..." Line: 685 Column: - 303
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"...ge" width="120"height="67 "sty..." Line: 693 Column: - 327
"...20"height="67 "style="float: l..." Line: 701 Column: - 291
"...ge" width="120"height="75 "sty..." Line: 701 Column: - 303
"...20"height="75 "style="float: l..." Line: 775 Column: - 339
"...ge" width="120"height="120 "st..." Line: 775 Column: - 352
"...0"height="120 "style="float: l..." Line: 783 Column: - 213
"...ge" width="120"height="145 "st..." Line: 783 Column: - 226
"...0"height="145 "style="float: l..." Line: 797 Column: - 247
"...ge" width="120"height="99 "sty..." Line: 797 Column: - 259
"...20"height="99 "style="float: l..." Line: 805 Column: - 298
"...ge" width="120"height="120 "st..." Line: 805 Column: - 311
"...0"height="120 "style="float: l..." Line: 813 Column: - 284
"...ge" width="120"height="41 "sty..." Line: 813 Column: - 296
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"...ge" width="120"height="120 "st..." Line: 821 Column: - 291
"...0"height="120 "style="float: l..." Line: 829 Column: - 265
"...ge" width="120"height="..." Line: 829 Column: - 277
"...20"height="73 "style="float: l..." Line: 846 Column: - 339
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"...0"height="164 "style="float: r..."
"...ge" width="150"height="51 "sty..." Line: 675 Column: - 262
"...50"height="51 "style="float: l..." Line: 685 Column: - 290
"...ge" width="120"height="103 "st..." Line: 685 Column: - 303
"...0"height="103 "style="float: l..." Line: 693 Column: - 315
"...ge" width="120"height="67 "sty..." Line: 693 Column: - 327
"...20"height="67 "style="float: l..." Line: 701 Column: - 291
"...ge" width="120"height="75 "sty..." Line: 701 Column: - 303
"...20"height="75 "style="float: l..." Line: 775 Column: - 339
"...ge" width="120"height="120 "st..." Line: 775 Column: - 352
"...0"height="120 "style="float: l..." Line: 783 Column: - 213
"...ge" width="120"height="145 "st..." Line: 783 Column: - 226
"...0"height="145 "style="float: l..." Line: 797 Column: - 247
"...ge" width="120"height="99 "sty..." Line: 797 Column: - 259
"...20"height="99 "style="float: l..." Line: 805 Column: - 298
"...ge" width="120"height="120 "st..." Line: 805 Column: - 311
"...0"height="120 "style="float: l..." Line: 813 Column: - 284
"...ge" width="120"height="41 "sty..." Line: 813 Column: - 296
"...20"height="41 "style="float: l..." Line: 821 Column: - 278
"...ge" width="120"height="120 "st..." Line: 821 Column: - 291
"...0"height="120 "style="float: l..." Line: 829 Column: - 265
"...ge" width="120"height="..." Line: 829 Column: - 277
"...20"height="73 "style="float: l..." Line: 846 Column: - 339
"...ge" width="110"height="164 "st..." Line: 846 Column: - 352
"...0"height="164 "style="float: r..."
Bad value “51 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 675 Column: 79 - 313
"...science/"><img title="Data Science" src="https://insidebigdata.com/wp-content/uploads/2014/12/Data-Science.png" alt="Operationalizing Data Science" class="wp-post-image" width="150"height="51 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...science/"><img title="Data Science" src="https://insidebigdata.com/wp-content/uploads/2014/12/Data-Science.png" alt="Operationalizing Data Science" class="wp-post-image" width="150"height="51 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “103 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 685 Column: 88 - 354
"...l-short/"><img title="Machine_Learning_icon" src="https://insidebigdata.com/wp-content/uploads/2016/01/Machine_Learning_icon.png" alt="Why Machine Learning Algorithms Fall Short" class="wp-post-image" width="120"height="103 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...l-short/"><img title="Machine_Learning_icon" src="https://insidebigdata.com/wp-content/uploads/2016/01/Machine_Learning_icon.png" alt="Why Machine Learning Algorithms Fall Short" class="wp-post-image" width="120"height="103 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “67 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 693 Column: 96 - 378
"...rofiles/"><img title="365 DataScience_report" src="https://insidebigdata.com/wp-content/uploads/2017/12/365-DataScience_report-150x84.png" alt="Research of 1,001 Data Scientist LinkedIn Profiles" class="wp-post-image" width="120"height="67 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...rofiles/"><img title="365 DataScience_report" src="https://insidebigdata.com/wp-content/uploads/2017/12/365-DataScience_report-150x84.png" alt="Research of 1,001 Data Scientist LinkedIn Profiles" class="wp-post-image" width="120"height="67 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “75 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 701 Column: 89 - 354
"...esource/"><img title="big_data_adoption" src="https://insidebigdata.com/wp-content/uploads/2013/09/big_data_adoption.jpg" alt="Data: The World’s Most Underused Valuable Resource" class="wp-post-image" width="120"height="75 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...esource/"><img title="big_data_adoption" src="https://insidebigdata.com/wp-content/uploads/2013/09/big_data_adoption.jpg" alt="Data: The World’s Most Underused Valuable Resource" class="wp-post-image" width="120"height="75 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “120 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 775 Column: 106 - 403
"...laybook/"><img title="Lisa Fairbanks_TCS" src="https://insidebigdata.com/wp-content/uploads/2017/12/Lisa-Fairbanks_TCS-150x150.jpg" alt="How CRM Companies Can Borrow a Page from the Salesforce.com AI Playbook" class="wp-post-image" width="120"height="120 "style="float: left; margin-right: 1em; border: ;" /></a> ..." Line: 805 Column: 84 - 362
"...-answer/"><img title="Ricardo Baeza-Yates" src="https://insidebigdata.com/wp-content/uploads/2017/07/Ricardo-Baeza-Yates-150x150.jpg" alt="Big Data or Small Data? The Correct Answer is Both" class="wp-post-image" width="120"height="120 "style="float: left; margin-right: 1em; border: ;" /></a> ..." Line: 821 Column: 83 - 342
"...anguage/"><img title="Python" src="https://insidebigdata.com/wp-content/uploads/2017/04/Python-150x150.jpg" alt="Should You Use Python or R for Your Programming Language?" class="wp-post-image" width="120"height="120 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...laybook/"><img title="Lisa Fairbanks_TCS" src="https://insidebigdata.com/wp-content/uploads/2017/12/Lisa-Fairbanks_TCS-150x150.jpg" alt="How CRM Companies Can Borrow a Page from the Salesforce.com AI Playbook" class="wp-post-image" width="120"height="120 "style="float: left; margin-right: 1em; border: ;" /></a> ..." Line: 805 Column: 84 - 362
"...-answer/"><img title="Ricardo Baeza-Yates" src="https://insidebigdata.com/wp-content/uploads/2017/07/Ricardo-Baeza-Yates-150x150.jpg" alt="Big Data or Small Data? The Correct Answer is Both" class="wp-post-image" width="120"height="120 "style="float: left; margin-right: 1em; border: ;" /></a> ..." Line: 821 Column: 83 - 342
"...anguage/"><img title="Python" src="https://insidebigdata.com/wp-content/uploads/2017/04/Python-150x150.jpg" alt="Should You Use Python or R for Your Programming Language?" class="wp-post-image" width="120"height="120 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “145 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 783 Column: 84 - 277
"...-listen/"><img title="" src="https://insidebigdata.com/wp-content/uploads/2016/04/Rob-Consoli.jpg" alt="" class="wp-post-image" width="120"height="145 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...-listen/"><img title="" src="https://insidebigdata.com/wp-content/uploads/2016/04/Rob-Consoli.jpg" alt="" class="wp-post-image" width="120"height="145 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
An “img” element must have an “alt” attribute, except under certain conditions. For details, consult guidance on providing text alternatives for images.
Line: 788 Column: 54 - 143
"...ehpc.com"><img src="https://insidehpc.com/wp-content/themes/news-hpc/images/hpc-logo-stacked.png" /></a></..." Line: 1064 Column: 337 - 407
"... of page"><img src="/wp-content/themes/news-bigdata/images/ibd-logo-stacked.png"></a></..."
"...ehpc.com"><img src="https://insidehpc.com/wp-content/themes/news-hpc/images/hpc-logo-stacked.png" /></a></..." Line: 1064 Column: 337 - 407
"... of page"><img src="/wp-content/themes/news-bigdata/images/ibd-logo-stacked.png"></a></..."
Bad value “99 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 797 Column: 73 - 310
"...tabases/"><img title="Ami-Gal" src="https://insidebigdata.com/wp-content/uploads/2017/09/Ami-Gal-150x124.jpg" alt="Is 2017 the Year of GPU Databases?" class="wp-post-image" width="120"height="99 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...tabases/"><img title="Ami-Gal" src="https://insidebigdata.com/wp-content/uploads/2017/09/Ami-Gal-150x124.jpg" alt="Is 2017 the Year of GPU Databases?" class="wp-post-image" width="120"height="99 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “41 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 813 Column: 88 - 347
"...alytics/"><img title="Data Science" src="https://insidebigdata.com/wp-content/uploads/2014/12/Data-Science.png" alt="The Difference Between Data Science and Data Analytics" class="wp-post-image" width="120"height="41 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...alytics/"><img title="Data Science" src="https://insidebigdata.com/wp-content/uploads/2014/12/Data-Science.png" alt="The Difference Between Data Science and Data Analytics" class="wp-post-image" width="120"height="41 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “73 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 829 Column: 80 - 328
"...of-data/"><img title="big data_growth of data" src="https://insidebigdata.com/wp-content/uploads/2017/02/big-data_growth-of-data-150x91.jpg" alt="growth of data" class="wp-post-image" width="120"height="73 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
"...of-data/"><img title="big data_growth of data" src="https://insidebigdata.com/wp-content/uploads/2017/02/big-data_growth-of-data-150x91.jpg" alt="growth of data" class="wp-post-image" width="120"height="73 "style="float: left; margin-right: 1em; border: ;" /></a> ..."
Bad value “164 ” for attribute “height” on element “img”: Expected a digit but saw “ ” instead.
Line: 846 Column: 111 - 403
"...alytics/"><img title="CsabaKrasznay_Headshot" src="https://insidebigdata.com/wp-content/uploads/2017/12/CsabaKrasznay_Headshot.jpg" alt="Unmasking Privileged Identity Thieves with User Behavior Analytics" class="wp-post-image" width="110"height="164 "style="float: right; margin-left: 1em; border: ;" /></a> ..."
"...alytics/"><img title="CsabaKrasznay_Headshot" src="https://insidebigdata.com/wp-content/uploads/2017/12/CsabaKrasznay_Headshot.jpg" alt="Unmasking Privileged Identity Thieves with User Behavior Analytics" class="wp-post-image" width="110"height="164 "style="float: right; margin-left: 1em; border: ;" /></a> ..."
No “p” element in scope but a “p” end tag seen.
Line: 857 Column: 40 - 43
"...or"></div></p> ..."
"...or"></div></p> ..."
Element “style” not allowed as child of element “div” in this context. (Suppressing further errors from this subtree.)
Line: 961 Column: 234 - 240
"...et-wrap"> <style> .wi..."
"...et-wrap"> <style> .wi..."
The “itemprop” attribute was specified, but the element is not a property of any item.
Line: 612 Column: 246 - 330
"...em-17123"><a href="https://insidebigdata.com/category/topics/ai-deep-learning/" itemprop="url">AI Dee..." Line: 613 Column: 108 - 192
"...tem-3350"><a href="https://insidebigdata.com/category/topics/machine-learning/" itemprop="url">Machin..." Line: 614 Column: 131 - 208
"...tem-9933"><a href="https://insidebigdata.com/category/special-sections/" itemprop="url">Specia..." Line: 616 Column: 111 - 202
"...em-13776"><a href="https://insidebigdata.com/category/special-sections/inside-hadoop/" itemprop="url">inside..." Line: 617 Column: 111 - 201
"...em-13777"><a href="https://insidebigdata.com/category/special-sections/inside-spark/" itemprop="url">inside..." Line: 618 Column: 109 - 196
"...tem-9932"><a href="https://insidebigdata.com/category/resources/data-science-101/" itemprop="url">Data S..." Line: 619 Column: 109 - 197
"...tem-9937"><a href="https://insidebigdata.com/category/special-sections/interviews/" itemprop="url">Interv..." Line: 620 Column: 109 - 196
"...tem-9938"><a href="https://insidebigdata.com/category/special-sections/use-cases/" itemprop="url">Use Ca..." Line: 621 Column: 109 - 200
"...tem-9936"><a href="https://insidebigdata.com/category/special-sections/field-reports/" itemprop="url">Field ..." Line: 622 Column: 109 - 212
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insidebigdata.com Ping
Ping is a computer network administration software utility used to test the reachability of a host on an Internet Protocol (IP) network. It measures the round-trip time for messages sent from the originating host to a destination computer that are echoed back to the source.
insidebigdata.com TRACEROUTE
Traceroute is a computer network diagnostic tool for displaying the route (path) and measuring transit delays of packets across an Internet Protocol (IP) network. The history of the route is recorded as the round-trip times of the packets received from each successive host (remote node) in the route (path); the sum of the mean times in each hop is a measure of the total time spent to establish the connection. Traceroute proceeds unless all (three) sent packets are lost more than twice, then the connection is lost and the route cannot be evaluated.