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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

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. What is PostgreSQL performance tuning?

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Tuning PostgreSQL Database Parameters to Optimize Performance

Percona

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. It is important to pay attention to performance when writing database queries. shared_buffer.

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How to Assess MySQL Performance

HammerDB

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. We will not concern ourselves with the raw throughput of workload.

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The case for a learned sorting algorithm

The Morning Paper

The resulting performance depends on the quality of the model predictions, a higher quality model leads to fewer collisions, and fewer out-of-order items to be patched in the final Insertion Sort pass. If it’s high performance you’re after, you can’t ignore mechanical sympathy. Sympathy for the machine. Evaluation.

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PostgreSQL Checkpoints, Buffers, and WAL Usage with Percona Monitoring and Management

Percona

With this data, we’ll be able to better understand and tune our Postgres servers. The main idea is to be able to easily detect what the server is doing at any point in time so we can better understand how it reacts to the workload and tune accordingly. You can search the blog for more information on this if needed.

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ZFS Is Mysteriously Eating My CPU

Brendan Gregg

I have been surprised many times by unexpected performance issues, so I thought I should check their instances anyway. The other colors are yellow for C++, and red for other user-level code.) The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system. I worked on this code back at Sun.

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Bringing Rich Experiences to Memory-constrained TV Devices

The Netflix TechBlog

In a previous post , we described how our TV application consists of a C++ SDK installed natively on the device, an updatable JavaScript user interface (UI) layer, and a custom rendering layer known as Gibbon. Our UI runs on top of a custom rendering engine which uses what we call a “surface cache” to optimize our use of graphics memory.

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