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

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Microsoft has helped simplify things by creating multiple types of virtual machines. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

HammerDB

DECEMBER 1, 2022

Jobs Configuration and Storage. The base configuration for the jobs storage can be found in the generic.xml file in the commandline section. <commandline> For example on Windows an example of opening a new database. For example, we will run the following script to build a TPROC-C schema. HammerDB CLI v4.6

Virtualization 57

Virtualization C++ Storage Database 57

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 100

Monitoring Scalability Cache Database 100

HammerDB

DECEMBER 14, 2022

This image includes example scripts to build schemas and test your databases with a single command. In this post, we will show an example of using Docker to deploy the HammerDB command line and test a database with minimal effort. and the test will run with the number of Virtual Users equivalent to the number of CPUs.

C++ 62

C++ Virtualization Database Benchmarking 62

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . The first example shows a data load, the second a TPC-C based workload with 5 virtual users and the 2nd example with 10 virtual users. A good example of how tuning is an iterative process.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

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 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. We have long been surfing the virtualization wave (to keep it broad).

Tuning 137

Tuning Cache Servers Benchmarking 137

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. 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

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. there cannot be high availability.

Availability 109

Availability Database Open Source Hardware 109

SQL Performance

AUGUST 27, 2019

Figure 1 shows an example from AMD comparing a two-socket server with two Intel Xeon Gold 6262V processors to a one-socket server with one AMD EPYC 7702P processor. Figure 1: AMD Example of Two-socket vs. One-socket Server. AMD Rome Second Generation EPYC Review: 2x 64-core Benchmarked. This idea is not unique to AMD.

Servers 52

Servers Benchmarking Virtualization Architecture 52

Percona

AUGUST 22, 2023

Streaming services, for example, run mission-critical systems in which excessive downtime could result in significant financial and reputational losses for the business. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 81

Availability Hardware Open Source Database 81

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. faster access to external storage and data locality (I/O, bandwidth). Twitter Heron is another good example of this approach. Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. an example is shown of the shortest of these: . HammerDB difference from Sysbench.

Best Practices 40

Best Practices Scalability Performance C++ 40

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. Chrome has missed several APIs for 3+ years: Storage Access API.

Media 145

Media Games Education Engineering 145

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. These are areas in which we have invested heavily to take advantage of 10 Gbps (and faster) networks and to handle intermittent network delays inherent in virtual server infrastructures.

Cache 40

Cache Servers Network Design 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

As ​​ a ​​ simple ​​ example, ​​ take the following ​​ 2-byte string value of “AB” and apply a formula to it (Value = Position + ASCII value). ​​ Checksum ​​ is ​​ the sum of the values.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

For example, to make performance more tangible, you could expose the revenue performance impact by showing the correlation between the conversion rate and time to application load, as well as rendering performance. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ).

Performance 145

Performance Cache Media Metrics 145