Percona
MAY 1, 2023
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.
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.
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Scalegrid
JULY 13, 2020
Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019.
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. When we set out to create the new Lambda extension, we benchmarked other dedicated Lambda monitoring solutions that were already on the market.
HammerDB
NOVEMBER 5, 2018
This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . A good example of how tuning is an iterative process. log 2018-11-02T15:39:25.628040+00:00 Thread 1 cannot allocate new log, sequence 1403. Checkpoint not complete. Checkpoint not complete.
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.)
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
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