Percona

JUNE 22, 2023

High availability works through a combination of the following: No single point of failure (SPOF) : You must eliminate any single point of failure in the database environment, including physical or virtual hardware the database system relies on that would cause it to fail. This flexibility can be crucial in designing a scalable architecture.

Availability 132

Availability Database Open Source Hardware 132

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

The Morning Paper

SEPTEMBER 24, 2020

Essentially none of the published algorithms or successful research frameworks for program analysis achieve acceptable results for enterprise applications on the main quality axes of static analysis research: completeness, precision, and scalability. Introducing JackEE. JackEE in action.

Java 80

Java Cache Benchmarking Programming 80

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. For storage, FIO is generally used. 4.22 %usr 38.40

Performance 55

Performance Benchmarking Cache Storage 55

SQL Performance

AUGUST 27, 2019

The initial reviews and benchmarks for these processors have been very impressive: AMD EPYC 7002 Series Rome Delivers a Knockout. AMD Rome Second Generation EPYC Review: 2x 64-core Benchmarked. TPC-H Benchmark Results with SQL Server 2017. TPC-E Benchmark Results with SQL Server 2017. More total PCIe lanes and bandwidth.

Servers 52

Servers Benchmarking Virtualization Architecture 52

HammerDB

OCTOBER 12, 2018

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. Error in Virtual User 1: mysqlexec/db server: Table 'mysql.proc' doesn't exist. Vuser 1:56 Active Virtual Users configured.

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. Though still not “profitable” by many benchmarks, it’s a lot closer to being so, perhaps in a big way.) Some might say this marked the beginning of MongoDB’s “cloud push” escalation.) 2017: MongoDB goes public, trading as MDB.

Open Source 98

Open Source Programming Database Servers 98

HammerDB

JULY 6, 2024

sysbench-tpcc offers the ability to build multiple schemas to work around scalability issues, however the TPC-C specification uses a single set of tables which can be built as follows. Summary Of course the more benchmarks and workloads you run against a system, the more insights you can get. Copy Code Copied Use a different Browser./tpcc.lua

C++ 52

C++ Hardware Benchmarking Virtualization 52

HammerDB

DECEMBER 5, 2020

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. more transactions than system B in the fully audited benchmark then the HammerDB result was also 1.5X I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Testsigma

JANUARY 12, 2021

This list guides you on the areas to test, the browsers, versions, operating systems to consider, the benchmarks to meet, as well as time and budget allocation. Although you will heavily slice down the costs, these virtual machines are not scalable, and unreliable. A recent report by W3Counter revealed that 65.3%

Website 65

Website Operating System Testing Tools Benchmarking 65

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Without enough infrastructure (physical or virtualized servers, networking, etc.), It’s plenty available and plenty scalable.

Availability 98

Availability Hardware Open Source Database 98

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

HammerDB

DECEMBER 9, 2020

<benchmark> <first_result>TPM</first_result> </benchmark> So why not just print NOPM and report a single metric for TPROC-C as per the official TPC-C workloads? was delayed to introduce UHD scalable graphics. and earlier. <benchmark> and continues into v4.0.

C++ 52

C++ Benchmarking Metrics Database 52

HammerDB

NOVEMBER 30, 2018

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. Virtual Users. Virtual Users within HammerDB are operating system threads. program in TCL. #!/usr/local/bin/tclsh8.6

Architecture 40

Architecture Virtualization Open Source C++ 40

Enprowess

SEPTEMBER 20, 2021

Scalability. Like React, Vue features two-way binding, uses components and a virtual DOM. They use lazy loading to extend performance rates and reduce loading times and code refreshes via virtual DOMs. Vue vs React: Scalability. Extensibility and scalability. In this article, I will compare React.js and Vue.js

Open Source 52

Open Source Mobile Google Scalability 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

ScaleOut Software

MAY 15, 2014

Well, performance comparisons aren’t so easy since the AppFabric license agreement states: “You may not disclose the results of any benchmark tests of the software to any third party without Microsoft’s prior written approval.” Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. Paul Reithmuller was yet another imported Australian engineer who did amazing work.

Tuning 52

Tuning Benchmarking Engineering C++ 52

SQL Server According to Bob

JANUARY 11, 2020

​​ Latch enforcement ​​ changes the ​​ virtual ​​ memory protection ​​ ( VirtualProtect ) ​​ as the ​​ database ​​ pages are transitioned between the clean and dirty states.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. Representational State Transfer ( REST ) is a well-established, logical choice: it defines a set of constraints that developers follow to make content accessible in a performant, reliable and scalable fashion. compared to early 2015.

Performance 145

Performance Cache Media Metrics 145