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Using Parallel Query with Amazon Aurora for MySQL

Percona

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. I’m using the “Airlines On-Time Performance” database from [link] (You can find the scripts I used here: [link] ). The second and third run used the cached data. MySQL on ec2.

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

Smashing Magazine

In real-life world, most products aren’t even close: an median bundle size today is around 417KB , which is up 42% compared to early 2015. PRPL stands for Pushing critical resource, Rendering initial route, Pre-caching remaining routes and Lazy-loading remaining routes on demand. Assets Optimizations.

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

Smashing Magazine

In real-life world, most products aren’t even close: an average bundle size today is around 400KB , which is up 35% compared to late 2015. PRPL stands for Pushing critical resource, Rendering initial route, Pre-caching remaining routes and Lazy-loading remaining routes on demand. We could also go beyond the bundle size budget though.

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SQL 2016 – It Just Runs Faster Announcement

SQL Server According to Bob

I have studied code check-ins and tested the improvements seeing the scalability improvement first hand and running SQL Server 2016 for internal SQL Support needs since Mar 2015 because of the improved features and scalability.” The following table is taken from an ASP.NET, session state cache, stress test. Auto-soft NUMA.

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Is Intel Doomed in the Server CPU Space?

SQL Performance

This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile. The Tick-Tock release cycle basically fell apart by about 2015 , as Intel was unable to move from a 14nm manufacturing process to a 10nm manufacturing process. Figure 2: AMD EPYC Rome Processor.

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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.