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How to Optimize Websites for Ad Publishers

Dotcom-Montior

Page speed has been a key factor in Google’s ranking algorithm since 2010 , so it is essential to understand the various ways you can optimize your pages and why implementing synthetic monitoring can ensure your pages perform flawlessly and revenue isn’t lost. Synthetic Monitoring: Continuous Website Performance Monitoring.

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The psychology of site speed and human happiness

Speed Curve

In 1993 and again in 2010 , usability expert Jakob Nielsen found that: 0.1 Interestingly, and perhaps not coincidentally, 100 milliseconds is Google's stated goal when it comes to page load times. In 1968, Robert Miller published a study called Response Time in Man-Computer Conversational Transactions.

Speed 133
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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Complete Web Monitoring. You only have a few seconds to get compelling content onto the screen. ” – Andy King, 2003.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

MariaDB is a popular SQL open source relational database management system that originated as a fork of MySQL after MySQL was acquired by Sun Microsystems in 2008 and later Oracle in 2010. In 2008, Sun Microsystems acquired MySQL AB, and then, in 2010, Oracle bought Sun Microsystems. In-development for MySQL 8.0 (now

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Which Is the Best PostgreSQL GUI? 2019 Comparison

Scalegrid

It is difficult to browse database and tables, check indexes, and monitor databases through the console. I believe anyone who comes to programming after 2010 will tell you GUI tools increase their productivity over a CLI solution. Console display may not be something of your like, and it only gives very little information at a time.

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Should You Use ClickHouse as a Main Operational Database?

Percona

This time I’m trying to find the news keywords of the year using all reddit comments: basically I’m calculating the most frequently used new words for the specific year (algorithm based on an article about finding trending topics using Google Books n-grams data ). webkit','twitter','teacher','android','itunes'] ? ?