Remove 2018 Remove Availability Remove Benchmarking Remove Tuning
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

This blog was originally published in August 2018 and was updated in May 2023. Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare PostgreSQL vs. Oracle functionality across available tools, capabilities and services. Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Not available. Not available. Not available. Compare Functionality. Compare Ease of Use. Total Cost. $0.

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Percona Database Performance Blog 2018 Year in Review: Top Blog Posts

Percona

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. We’ve had nearly 4 million visits to the blog in 2018: thank you! As 2018 moves into 2019, let’s take a quick look back at some of the most popular posts on the blog this year. Linux OS Tuning for MySQL Database Performance.

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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

At AWS re:Invent in 2018, the Lambda team presented an excellent talk. What the Lambda team introduced in 2018, for example, the new Firecracker VM, has since been fully rolled out. A cold start occurs when there’s no instance of the requested Lambda function available. How Dynatrace compares to other solutions.

Lambda 215
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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

Let’s start with this: MongoDB is accurately referred to as source-available software. Though still not “profitable” by many benchmarks, it’s a lot closer to being so, perhaps in a big way.) 2018: MongoDB announces that it is moving from GNU AGPLv3 licensing to the Service Side Public License (SSPL).

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Much of my testing was on Linux 4.14.11

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. GHz available cpufreq governors: performance powersave . HammerDB difference from Sysbench. c_ytd_payment: 10.00 7 rows in set (0.00