Scalegrid

JULY 29, 2020

So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. All of the PostgreSQL benchmark tests were run under the following conditions: Initialized pgbench using a scale factor of 100. Throughput Benchmark.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

Percona

DECEMBER 23, 2022

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. The TPC-C dataset I used was with a scale of 200. TPC-C on MyRocks. MyRocks handles indexes in a similar fashion. MyRocks Vs InnoDB.

Storage 56

Storage Cache C++ Virtualization 56

The Morning Paper

MAY 12, 2019

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! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Percona

MAY 1, 2023

Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

Tuning 52

Tuning Efficiency Database Performance 52

Percona

AUGUST 31, 2018

This parameter sets how much dedicated memory will be used by PostgreSQL for cache. If your working set of data can easily fit into your RAM, then you might want to increase the shared_buffer value to contain your entire database, so that the whole working set of data can reside in cache. wal_buffers. effective_cache_size.

Tuning 58

Tuning Database Performance Benchmarking 58

Brendan Gregg

FEBRUARY 9, 2018

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. This can turn a 1% overhead (syscall cycles alone) into a 7% overhead. In more detail: ## 1.

Performance 75

Performance Benchmarking Cache Tuning 75

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. This improves page load time and caching during navigations.

Performance 145

Performance Cache Media Metrics 145