VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. An interruption in data flow due to limited capacity is called a bottleneck. Test and collect data: Let your testing software do all the hard work, then assess the results.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

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! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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. Benchmark before you decide. have been released since then with some major changes. Transparent huge pages (THP) disabled.

Performance 128

Performance Hardware Tuning Storage 128

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. 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. Converging Views.

Media 145

Media Games Education Engineering 145

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Automated Backups and Point-in-Time Recovery Aurora provides automated backup and point-in-time recovery, simplifying backup management and data protection.

AWS 52

AWS Database Serverless Storage 52

Alex Russell

MARCH 6, 2021

Before Jio's disruptive pricing and aggressive rollout, data services in India were among the most expensive in the world relative to income and heavily reliant on 3G outside wealthier "tier 1" cities. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

JANUARY 30, 2024

Until and unless teams have better data about their performance, the global baseline budget should be enforced. HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Geekbench 5 single-core scores for each mobile price point."

Performance 90

Performance Network Mobile Speed 90

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial. Given the conflicted data we see across our other systems, this seems about right as a baseline.

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

John McCalpin

JANUARY 22, 2018

For 64-bit floating-point data, the 512-bit Fused Multiply-Add (FMA) instructions performs 16 floating-point operations (8 adds and 8 multiplies). Each of the two vector units can issue one FMA instruction per cycle, assuming that there are enough independent accumulators to tolerate the 6-cycle dependent-operation latency. jb.B1.8.

Latency 40

Latency Hardware Code Testing 40

SQL Server According to Bob

JANUARY 11, 2020

To ensure data integrity for our customers who are running SQL Server, it is important that I/O environments provide appropriate functionality. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed.

Servers 40

Servers Cache Media Hardware 40

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. 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. large-pages.

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

NOVEMBER 3, 2023

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. The following invocation generates almost 4GB of data.

Database 109

Database Benchmarking Latency C++ 109

SQL Server According to Bob

JANUARY 11, 2020

If ​​ it is ​​ not, ​​ the ​​ data ​​ is considered ​​ to be ​​ changed ​​ or ​​ damaged. In ​​ other words, ​​ a formula is applied ​​ to a given set of bytes.

Servers 40

Servers Cache Database Media 40

John McCalpin

APRIL 25, 2023

With that in mind, I decided to mine some historical data (and run a few new experiments) to see how single-thread/single-core memory bandwidth has evolved over the last 10-15 years. GHz, 1530 GB/s peak BW from 6 HBM stacks), I see single-thread sustained memory bandwidth of 304 GB/s on the ReadOnly benchmark used here. Stay tuned!

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Smashing Magazine

JANUARY 11, 2021

It will help you build up a company-tailored case study with real data. Furthermore, using data from case studies and experiments published on WPO Stats will help increase sensitivity for business about why performance matters, and what impact it has on user experience and business metrics. Large preview ). Large preview ).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

It will help you build up a company-tailored case study with real data. Furthermore, using data from case studies and experiments published on WPO Stats will help increase sensitivity for business about why performance matters, and what impact it has on user experience and business metrics. Large preview ). Large preview ).

Performance 145

Performance Cache Network Metrics 145