Percona

DECEMBER 20, 2018

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.

Database 40

Database Tuning Performance AWS 40

Dynatrace

FEBRUARY 25, 2021

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. The virtual CPU is turned off. Stay tuned?for When using a platform, it always helps to have a rough idea of its inner workings.

Lambda 215

Lambda AWS Monitoring Serverless 215

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . The first example shows a data load, the second a TPC-C based workload with 5 virtual users and the 2nd example with 10 virtual users. A good example of how tuning is an iterative process.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Percona

APRIL 12, 2023

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). (Some might say this marked the beginning of MongoDB’s “cloud push” escalation.)

Open Source 83

Open Source Programming Database Servers 83

Apica

MAY 10, 2019

million Netflix users as of Q3 2018. The Apica LoadTest solution uses innovative technologies like monitoring nodes and load clusters to reliably deliver and sustain a large-scale load of virtual users (VUs) to Hollywood for different, realistic user scenarios all at the same time.

Testing 40

Testing Performance Social Media Wireless 40

HammerDB

OCTOBER 12, 2018

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. As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. c_ytd_payment: 10.00

Best Practices 40

Best Practices Scalability Performance C++ 40

Brendan Gregg

FEBRUARY 9, 2018

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

Performance 75

Performance Benchmarking Cache Tuning 75