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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. Why is PostgreSQL performance tuning important?

Tuning 52
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COUNT(*) vs COUNT(col) in MySQL

Percona

NOTE : All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM). But why we can’t just cache the actual number of the rows? sec) What flash speed we saw there!

Cache 78
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Fixing a slow site iteratively

CSS - Tricks

Google’s industry benchmarks from 2018 also provide a striking breakdown of how each second of loading affects bounce rates. Speed is also something Google considers when ranking your website placement on mobile. Speed is also something Google considers when ranking your website placement on mobile.

Cache 92
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InnoDB Performance Optimization Basics

Percona

These guidelines work well for a wide range of applications, though the optimal settings, of course, depend on the workload. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Benchmark before you decide.

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What Web Designers Can Do To Speed Up Mobile Websites

Smashing Magazine

What Web Designers Can Do To Speed Up Mobile Websites. What Web Designers Can Do To Speed Up Mobile Websites. I recently wrote a blog post for a web designer client about page speed and why it matters. What I didn’t know before writing it was that her agency was struggling to optimize their mobile websites for speed.

Website 110
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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. Not as much as we'd like, of course, but the worldwide baseline has changed enormously. There are differences, of course, but not where it counts. The Moto G4 , for example. How bad is it?

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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

This processor has a base clock speed of 2.0GHz, with an all-core boost speed of 2.55GHz, and a max boost clock speed of 3.0GHz. The L3 cache size is 64MB. I wrote about using CPU-Z to benchmark the Intel Xeon E5-2673 v3 processor in an Azure VM in this article. Figure 1: CPU-Z Benchmark Results for LS16v2.

Azure 42