Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? Sysbench ran on a third server, which I’ll refer to as the application server (APP).

Tuning 137

Tuning Cache Servers Benchmarking 137

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

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. These AMD EPYC processors have a number of advantages for SQL Server workloads, as I will explain in this article. Figure 1: CPU-Z Benchmark Results for LS16v2. Azure Lsv2 Details.

Azure 42

Azure Virtualization Storage Benchmarking 42

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. This helps to minimise locking allowing multiple sessions to access the same data at the same time. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database.

Programming 67

Programming Benchmarking Virtualization C++ 67

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

Dynatrace

APRIL 8, 2021

This means that there is no need to provision or manage servers (or even containers). These served as our benchmark when creating our Lambda monitoring extension. To provide dynamic content, SPAs mostly rely on REST APIs to fetch their data using a means provided by modern browsers, such as XHR or fetch. Auto scaling.

Lambda 218

Lambda AWS Serverless Monitoring 218

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. Microsoft has helped simplify things by creating multiple types of virtual machines. Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers.

Azure 76

Azure Benchmarking Storage Virtualization 76

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Fault tolerance aims for zero downtime and data loss. Data replication : Data is continually copied from one database to another to ensure that the system remains operational even if one database fails.

Availability 110

Availability Database Open Source Hardware 110

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. For the network, we can use Iperf to assess the network bandwidth between the client and the database server to ensure it will be enough to meet our peak requirement.

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

APRIL 8, 2021

This means that there is no need to provision or manage servers (or even containers). These served as our benchmark when creating our Lambda monitoring extension. To provide dynamic content, SPAs mostly rely on REST APIs to fetch their data using a means provided by modern browsers, such as XHR or fetch. Auto scaling.

Lambda 179

Lambda AWS Serverless Monitoring 179

Percona

MARCH 17, 2023

Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM. Virtual Memory utilization was averaging 48 GB of RAM. Capacity planning and setup details We used a dedicated 32-core CPU and 64GB of RAM for our testing.

Monitoring 101

Monitoring Scalability Cache Database 101

HammerDB

MARCH 25, 2023

It will create the number of virtual users to the number of CPUs on the system where HammerDB is running. using existing tables (188,416 KB) SETTING CONFIGURATION Database set to MariaDB Benchmark set to TPC-C for MariaDB. Vuser 1:Writing timing data to /home/steve/HammerDB-4.7/TMP/hdbxtprofile.log TMP/hammer.DB TMP/hammer.DB

C++ 83

C++ Virtualization Benchmarking Database 83

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Availability 80

Availability Hardware Open Source Database 80

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. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. . <iotune>

Storage 56

Storage Cache C++ Virtualization 56

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. Logging Waits.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

HammerDB

NOVEMBER 30, 2022

Vuser 1:1 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 39945 NOPM from 92893 SQL Server TPM Vuser 1:Gathering timing data from Active Virtual Users. Running this script returns output as follows using the Python loop to drive HammerDB. Vuser 2:FINISHED SUCCESS Vuser 1:Calculating timings.

Virtualization 44

Virtualization C++ Lambda Monitoring 44

HammerDB

DECEMBER 1, 2022

In particular, after a running a test it would be ideal to have a repository where we could verify the configuration of the workload that was run, the results and any timing or transaction count data generated to bring all the log output into a central location. HammerDB v4.6 does this with the “jobs” command. HammerDB CLI v4.6

Virtualization 57

Virtualization C++ Storage Database 57

Dynatrace

FEBRUARY 25, 2021

The virtual CPU is turned off. Also, agents optimize communication and, therefore, send monitoring data to back ends in batches. As a Lambda function can freeze anytime without warning, a Lambda code module needs to try to get the data out-of-process as quickly as possible without extending the runtime of the Lambda function too much.

Lambda 215

Lambda AWS Monitoring Serverless 215

Brendan Gregg

MARCH 16, 2024

It fails because of a compiler optimization where the frame pointer register is used to store data instead of the frame pointer, but it's just a number so the profiler is unaware this happened and tries to match that address to a function symbol and fails (it is therefore an unknown symbol). Back-end servers.

Java 145

Java Cache Google Hardware 145

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. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40

HammerDB

DECEMBER 14, 2022

linux-systemd-x86_64/data default_authentication_plugin=mysql_native_password socket=/tmp/mariadb.sock port=3306 log-error=/tmp/mariadb.log bind_address=redpoll. my.cnf --user=hammerdb 2022-12-14 12:14:05 0 [Note] bin/mysqld (server 10.10.2-MariaDB) Benchmark set to TPC-C for MariaDB. ALL VIRTUAL USERS COMPLETE.

C++ 62

C++ Virtualization Database Benchmarking 62

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. This was followed by a greatly expanded second edition with some additional chapters by Rich Pettit.

Tuning 52

Tuning Benchmarking Engineering C++ 52

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

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? Similarly for SQL Server TPM records Batches/sec which is the same value seen in the Activity Monitor in SSMS. and earlier. <benchmark>

C++ 52

C++ Benchmarking Metrics Database 52

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

Percona

DECEMBER 20, 2018

In this post we will review the most important Linux settings to adjust for performance tuning and optimization of a MySQL database server. We’ll note how some of the Linux parameter settings used OS tuning may vary according to different system types: physical, virtual or cloud. A Look at MyRocks Performance. Installing MySQL 8.0

Database 40

Database Tuning Performance AWS 40

Percona

SEPTEMBER 1, 2023

MySQL server performance can sometimes be perplexing, and if you’ve ever wondered about the role of triggers in influencing your MySQL server’s memory allocation, this post is for you. The significance of triggers lies in their ability to enforce data integrity and automate various database-related tasks.

Cache 62

Cache Database Games Healthcare 62

Enprowess

SEPTEMBER 20, 2021

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. The term state refers to the data shared between all UI components. Server-Side Rendering. Depending on your requirements, Vue.js

Open Source 52

Open Source Mobile Scalability Google 52

Brendan Gregg

FEBRUARY 9, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. The graph is mostly as expected, expect the lower right which shows variance and missing data points: these missing points are due to slightly negative values that are elided by the logarithmic scale.

Performance 75

Performance Benchmarking Cache Tuning 75

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. MS SQL Server/Linux and Windows. Virtual Users. Virtual Users within HammerDB are operating system threads.

Architecture 40

Architecture Virtualization Open Source C++ 40

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. datadir=/home/mysql/data. Download and install HammerDB on a test client system, Like PostgreSQL another 2 socket server is ideal.

Best Practices 40

Best Practices Scalability Performance C++ 40

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

Brendan Gregg

FEBRUARY 8, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. The graph is mostly as expected, expect the lower right which shows variance and missing data points: these missing points are due to slightly negative values that are elided by the logarithmic scale.

Performance 40

Performance Benchmarking Cache Tuning 40

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity.

Cache 40

Cache Servers Network Design 40

Alex Russell

MAY 9, 2022

They may be passively collecting some data (e.g., These organisations may perform incidental data collection (from business analytics tools, e.g.) but are inconsistently reviewing performance metrics or considering them when formulating KPI s and OKR s. Browsers provide a lot of data about site performance. Photo by von Vix.

Performance 86

Performance Latency Metrics Engineering 86