Post by amirmukaddas on Mar 11, 2024 5:13:45 GMT
Google's data centers are immense server farms located in different parts of the world. Their job is to archive the entire scannable web and compute all the queries that are addressed to it every day. In the previous paragraph I talked about Deepcrawl, or the in-depth scanning of a website, only I didn't say which data center it takes place against. The fact is that the same website is scanned and stored in several data centers , not just one of them, for security and accessibility reasons. The truth about Google dance The Google dance , i.e. the instability in the positioning of search results, typical of the first month after the publication of new content on the internet, often depends on the fact that the search query was computed by a data center that does not have the evaluation of the single page is still aligned with the deep crawling of the entire website . This is how a result can appear in third position from Palermo for a certain key (not geolocalised) and in seventh for the same query made from Milan: the two queries could have arrived at two different data centers not aligned on the overall scanning of the website.
I thank Christian Zerjal for explaining this process to me which finally reveals the truth about how Google works, at least with respect to Google dance. Of course, there are Google patents that lower the ranking of contents when they are reopened too frequently due to forced modifications (especially on links), there is the famous sandbox effect whereby a web page is demoted indefinitely and then moved Denmark Telegram Number Data up again later, but all patents and all true or presumed universal laws must deal with deep crawling and differentiated storage across multiple data centers. This is the very basis of Google's hardware operation. How Google “wants” to work In conclusion, I try to reflect on the changes that have occurred to Google's core in recent years. How does Google change with the increase in computing resources made available by quantum computers? On paper, Google would not simply be able to make calculations more quickly, but in a different way. It is thanks to this leap forward that Google was able to integrate the Penguin algorithm into the calculation of ranking evaluation mechanisms.
If before the "penguin" was launched only every now and then and punished entire websites found with the dirty incoming link profile, today it acts in real time (and only when really needed) and is much more accurate than before in targeting only the pages and the sections that receive the links, therefore in a more granular way than in the past. A big change occurred in 2017 with the Panda/Fred update which was a quality update in all respects. The most interesting thing is that from that moment on there were no longer the stable results we were used to, but the SERPs practically no longer stabilized. This was a tell-tale sign that Google no longer just rolled out algorithms periodically, but now it actually worked that way. From that moment the results became increasingly dynamic depending on how Google was able to perceive people's real interest in the different web pages.
I thank Christian Zerjal for explaining this process to me which finally reveals the truth about how Google works, at least with respect to Google dance. Of course, there are Google patents that lower the ranking of contents when they are reopened too frequently due to forced modifications (especially on links), there is the famous sandbox effect whereby a web page is demoted indefinitely and then moved Denmark Telegram Number Data up again later, but all patents and all true or presumed universal laws must deal with deep crawling and differentiated storage across multiple data centers. This is the very basis of Google's hardware operation. How Google “wants” to work In conclusion, I try to reflect on the changes that have occurred to Google's core in recent years. How does Google change with the increase in computing resources made available by quantum computers? On paper, Google would not simply be able to make calculations more quickly, but in a different way. It is thanks to this leap forward that Google was able to integrate the Penguin algorithm into the calculation of ranking evaluation mechanisms.
If before the "penguin" was launched only every now and then and punished entire websites found with the dirty incoming link profile, today it acts in real time (and only when really needed) and is much more accurate than before in targeting only the pages and the sections that receive the links, therefore in a more granular way than in the past. A big change occurred in 2017 with the Panda/Fred update which was a quality update in all respects. The most interesting thing is that from that moment on there were no longer the stable results we were used to, but the SERPs practically no longer stabilized. This was a tell-tale sign that Google no longer just rolled out algorithms periodically, but now it actually worked that way. From that moment the results became increasingly dynamic depending on how Google was able to perceive people's real interest in the different web pages.