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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

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Fostering a Web Performance Culture

Jos

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

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Fostering a Web Performance Culture

Jos

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

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Using Parallel Query with Amazon Aurora for MySQL

Percona

In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. Aurora Parallel Query response time (for queries which can not use indexes) can be 5x-10x better compared to the non-parallel fully cached operations. The second and third run used the cached data. MySQL on ec2.

Cache 47
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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 fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest. The Moto G4 , for example.

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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.

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Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]

Smashing Magazine

To get accurate results and goals though, first study your analytics to see what your users are on. Of course, your data might show that your customers are not on these devices, but perhaps they simply don’t show up in your analytics because your service is inaccessible to them due to slow performance.