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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

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Benchmarking the AWS Graviton2 with KeyDB

DZone

We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors. The performance claims made and the hype surrounding the Graviton2 had us itching to see how our high-performance database would perform.

AWS 130
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

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An analysis of performance evolution of Linux’s core operations

The Morning Paper

An analysis of performance evolution of Linux’s core operations Ren et al., For example: “Red Hat and Suse normally required 6-18 months to optimise the performance an an upstream Linux kernel before it can be released as an enterprise distribution”, and. Google’s data center kernel is carefully performance tuned for their workloads.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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The Performance Inequality Gap, 2021

Alex Russell

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

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The Return of the Frame Pointers

Brendan Gregg

I'm sure this delivered large performance improvements and I wouldn't try arguing against it. While that Java change led to discovering countless performance wins in application code, libc was still breaking some portion of the samples (as pictured in the example at the top of this post) and preventing off-CPU flame graphs.

Java 145