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Geek Reading - Week of June 5, 2013

DZone

Dew Drop – June 5, 2013 (#1,561) ( Alvin Ashcraft's Morning Dew). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). ( DaedTech). Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch). Hacker News).

Java 244
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. GA 5 February 2013 5.6.10 GA 7 October 2013 5.6.13-61.0 In-development for MySQL 8.0 (now Overview for more.)

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Front-End Performance Checklist 2021

Smashing Magazine

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

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How Improving Website Performance Can Help Save The Planet

Smashing Magazine

In 2013, A List Apart published Sustainable Web Design by James Christie. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. While I have no doubt that there are legitimate use cases, do we really need analytics on every website? These include data transfer (i.e.

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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively. The Moto G4 , for example. twitter.com/slightlylate/status/1139684093602349056 455 06:18 AM · Feb 28, 2020.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.