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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. Designing for Performance. High Performance Responsive Design. Even Faster Websites. High Performance Mobile Web.

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Node vs React Comparison: Which to Choose for Your JS Project?

Enprowess

framework was launched in 2009, and it destroyed the traditional browser confined limits of JS. The technology develops single-page applications , websites, and backend API services designed with real-time and push-based architectures. With no overstatement, its ecosystem is massive. A variety of tools are based on JavaScript.

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Top 13 Site Reliability Engineer (SRE) Tools

Dotcom-Montior

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Go, compared to other languages, is easy to learn, especially if you already know C or Java, and can also scale well. On the other hand, Kubernetes is designed for Linux container-based applications.

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Top 13 Site Reliability Engineer (SRE) Tools

Dotcom-Montior

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Go, compared to other languages, is easy to learn, especially if you already know C or Java, and can also scale well. On the other hand, Kubernetes is designed for Linux container-based applications.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Due to concerns in the open source software community about the future of MySQL after the acquisition, MariaDB was created in 2009 by Michael Widenius (one of the original creators of MySQL), who named the new software after his daughter Maria. In-development for MySQL 8.0 (now now a release candidate) In-development for MySQL 8.0 (now

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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 ). At the same time, it was not originally designed that way.