Scalegrid

JULY 29, 2020

PgBouncer defines one pool per user+database combination. A client benefits from a pooled connection only if it connects to a child which has previously served a connection for this database+user combination. PgBouncer allows limiting connections per-pool, per-database, per-user or per-client. Throughput Benchmark.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

Percona

APRIL 7, 2023

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 That’s a heritage of the LAMP model when the same server would host both the database and the web server. MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 133

Tuning Cache Servers Benchmarking 133

The Morning Paper

MARCH 10, 2020

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

Speed Curve

FEBRUARY 5, 2024

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 57

Servers Cache Retail Benchmarking 57

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. Operating System: Ubuntu 22.04 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance 102

Performance Monitoring Traffic Database 102

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 95

Monitoring Scalability Cache Database 95

Percona

AUGUST 31, 2018

It has default settings for all of the database parameters. 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. PostgreSQL’s Tuneable Parameters.

Tuning 54

Tuning Database Performance Benchmarking 54

Percona

JULY 25, 2023

Percona XtraBackup performs crash recovery on the files to make a consistent, usable database again. The redo apply phase wouldn’t make the database consistent with respect to a transaction. Initializing a DD engine and the cache adds complexity and other server dependencies. ibd2sdi data/test/t1.ibd ibd > t1.sdi

Cache 83

Cache Benchmarking Servers Design 83

Percona

SEPTEMBER 1, 2023

MySQL triggers are a powerful tool for database administrators and developers, enabling them to automate tasks, enforce data consistency, and respond to events within the database seamlessly. A Trigger in MySQL is a database object that plays a pivotal role in database management.

Cache 59

Cache Database Games Healthcare 59

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way.

Performance 123

Performance Hardware Tuning Storage 123

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. On design systems, UX, web performance and CSS/JS. Active Memory Caching. When you want to get data that you already had quickly, you need to do caching — caching stores data that a user recently retrieved. Caching Schemes.

Cache 125

Cache Performance Servers Social Media 125

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. Oracle Log File Sync.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

The Morning Paper

AUGUST 29, 2019

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Key findings. Query restrictions.

Architecture 76

Architecture Cloud Storage Serverless 76

MachMetrics

DECEMBER 14, 2019

It is typically reduced via server-side optimizations, such as enabling caching and database indexes. However, we really want to strive to be under the benchmarks that Google sets as a best practice. Even better if you’re under Google’s best practice benchmark. seconds on desktop and 2.59 seconds on mobile.

Best Practices 105

Best Practices Speed Mobile Google 105

SQL Performance

DECEMBER 17, 2019

You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. In exchange for this, your databases and applications will work just the same as they would in an on-premises installation, which makes this an easy way to start using Azure. Esv3-series.

Azure 72

Azure Virtualization Servers Storage 72

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. Also microbenchmarks, which often stress-test the system, will suffer the largest losses.

Performance 75

Performance Benchmarking Cache Tuning 75

SQL Performance

APRIL 8, 2019

The L3 cache size is 64MB. Both of these Intel processors are special bespoke models that are not in the Intel ARK database. I wrote about using CPU-Z to benchmark the Intel Xeon E5-2673 v3 processor in an Azure VM in this article. Figure 1: CPU-Z Benchmark Results for LS16v2. The L3 cache size is 64MB.

Azure 42

Azure Virtualization Storage Benchmarking 42

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. All modern browsers are fast, Chromium and Safari/WebKit included. Media Session API.

Media 145

Media Games Education Engineering 145

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

Brendan Gregg

FEBRUARY 8, 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. Also microbenchmarks, which often stress-test the system, will suffer the largest losses.

Performance 40

Performance Benchmarking Cache Tuning 40

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. Distributed tracing and instrumentation. Seer in action.

Big Data 45

Big Data Cloud Performance Hardware 45

SQL Server According to Bob

AUGUST 23, 2021

For example: A memory node with 64 CPUs is a complete, O perating System, ​​ scheduler group. The job object can be configured to limit the resource usage on the system, including which nodes and CPUs the processes started under its control​​ may ​​ utilize.

Servers 40

Servers Azure Operating System Database 40

SQL Server According to Bob

JANUARY 11, 2020

​​ Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation.

Servers 40

Servers Cache Database Media 40

Abhishek Tiwari

DECEMBER 13, 2017

This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. This has far-reaching implications how future data systems and algorithms will be designed. Can machine learning-based data structures i.e. learned data structures replace traditional data structures?

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

SQL Performance

JULY 16, 2019

This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile. They will also have up to 256MB of L3 cache per processor. You might be asking why you should care about all of this as a SQL Server Database professional? Figure 2: AMD EPYC Rome Processor.

Servers 46

Servers Hardware Architecture Retail 46

Smashing Magazine

JANUARY 6, 2020

Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. The idea is quite straightforward: Push the minimal code needed to get interactive for the initial route to render quickly, then use service worker for caching and pre-caching resources and then lazy-load routes that you need, asynchronously.

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Edge caching. Nginx for disk based caching. Java used to power core file system code. Introduction.

Architecture 52

Architecture Cache Azure Storage 52