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

C++ 40

C++ Benchmarking Virtualization Open Source 40

HammerDB

DECEMBER 1, 2022

For querying a build, the status command will show whether all Virtual Users started and finished successfully, allowing a quick way to check the status of a build. . By default the summary timings are reported, however by adding the vuid you can also drill down into the timings for a specific virtual user. Use a different Browser.

Virtualization 57

Virtualization C++ Storage Database 57

HammerDB

MAY 10, 2021

When taking this approach you would not focus on the test result but instead monitor the databases ability to cope with the variation in demand and transaction response times. Note that it is expected for Virtual User 1 of the replicas to end immediately with the message. Step Workloads. To implement Step Workloads, HammerDB v4.1

Virtualization 52

Virtualization C++ Database Monitoring 52

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

Tuning 52

Tuning Benchmarking Engineering C++ 52

HammerDB

JULY 8, 2019

/restchk.tcl TEST DIRECT PRINT COMMANDS -- Printing output for db and converting JSON to text JSON format { "ora": "Oracle", "mssqls": "MSSQLServer", "db2": "Db2", "mysql": "MySQL", "pg": "PostgreSQL", "redis": "Redis" } TEXT format ora Oracle mssqls MSSQLServer db2 Db2 mysql MySQL pg PostgreSQL redis Redis Printing output for bm and converting JSON (..)

Benchmarking 40

Benchmarking Virtualization C++ Database 40

Apica

MAY 10, 2019

The spread of where consumers want to consume content, at home, at the office, at the gym, on a plane, at any time where there is connectivity, puts significant pressure on the network and performance monitoring teams for streaming brands. Load and stress-testing benchmark goals for the backend technological components.

Testing 40

Testing Performance Social Media Wireless 40

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. support for logging, monitoring, and observability. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

DECEMBER 20, 2018

We’ll note how some of the Linux parameter settings used OS tuning may vary according to different system types: physical, virtual or cloud. In this benchmark, I discovered some interesting discrepancies in performance between AMD and Intel CPUs when running under systemd. A Look at MyRocks Performance.

Database 40

Database Tuning Performance AWS 40

HammerDB

JULY 5, 2022

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

Benchmarking 98

Benchmarking Database C++ Virtualization 98

Dynatrace

SEPTEMBER 23, 2021

Unfortunately, container security is much more difficult to achieve than security for more traditional compute platforms, such as virtual machines or bare metal hosts. However, to be secure, containers must be properly isolated from each other and from the host system itself. Harden the host operating system. Source code tests.

Open Source 259

Open Source Benchmarking Best Practices Network 259

Smashing Magazine

JUNE 3, 2022

These compiled systems for letters and symbols, which are representations of sounds and information, get a lot of use and are a large part of graphic communication. Fast forward to the early 1960s, phototypesetting systems appeared. Instead, we need to address multiple factors within the design system. Large preview ).

Performance 111

Performance Design Best Practices Testing 111

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

HammerDB

JULY 6, 2023

This way is typically the fastest way to determine the maximum throughput of a database with minimal configuration, and over time has been proven to show the same performance ratios between systems as a well configured fixed throughput setup. Again, each virtual user we add is running at approximately 1 NOPM.

Virtualization 57

Virtualization C++ Database Code 57

Dynatrace

FEBRUARY 25, 2021

This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. This extension was built from scratch to take into account all we’ve learned and the special requirements for monitoring ephemeral, auto-scaling, micro VMs like AWS Lambda. The virtual CPU is turned off.

Lambda 228

Lambda AWS Monitoring Serverless 228

HammerDB

DECEMBER 14, 2022

Our Linux test system is running a MariaDB 10.10 On a system with docker installed, use docker pull tpcorg/hammerdb to pull the latest image. By default the schema will build 5 x the number of warehouses of the CPUs on the system. and the test will run with the number of Virtual Users equivalent to the number of CPUs.

C++ 62

C++ Virtualization Database Benchmarking 62

Rigor

FEBRUARY 19, 2020

Reading time 8 min There are many different classes of web performance tools, from synthetic monitoring to application performance monitoring ( APM) , to real user monitoring ( RUM ), and more. Is it a physical system or virtual? If virtualized, what is the technology used (VM, Docker, software package)?

Monitoring 59

Monitoring Benchmarking Mobile Traffic 59

Brendan Gregg

MARCH 16, 2024

The problem is that this system has a default libc that has been compiled without frame pointers, so any stack walking stops at the libc layer, producing a partial stack that's missing the application frames. This is pretty common and usually goes unnoticed as the flame graph looks ok at first glance.

Java 145

Java Cache Google Hardware 145

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 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

Tuning 137

Tuning Cache Servers Benchmarking 137

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Some disruption might occur, but it will be minimal. Fault tolerance aims for zero downtime and data loss.

Availability 109

Availability Database Open Source Hardware 109

Percona

AUGUST 22, 2023

We’ll wrap it up by suggesting high availability open source solutions, and we’ll introduce you to support options for ensuring continuous high performance from your systems. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster.

Availability 81

Availability Hardware Open Source Database 81

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. The agent directory contains the agent code to be run on the system under test to gather the CPU utilisation information.

Architecture 40

Architecture Virtualization Open Source C++ 40

Brendan Gregg

FEBRUARY 9, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Also microbenchmarks, which often stress-test the system, will suffer the largest losses. This shows the system-wide syscall rate. In more detail: ## 1. Linux 4.14.12-virtual 05:24:52 PM 0.00

Performance 75

Performance Benchmarking Cache Tuning 75

Brendan Gregg

FEBRUARY 8, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Also microbenchmarks, which often stress-test the system, will suffer the largest losses. This shows the system-wide syscall rate. In more detail: ## 1. Linux 4.14.12-virtual 05:24:52 PM 0.00

Performance 40

Performance Benchmarking Cache Tuning 40

Percona

SEPTEMBER 1, 2023

This can affect the overall performance of your database system, potentially leading to slower response times. This can introduce maintenance overhead, particularly in large and complex database systems. Monitoring and Profiling : Continuously monitor trigger performance to identify and address slow-performing triggers promptly.

Cache 62

Cache Database Games Healthcare 62

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. System Setup: CPU, Memory and I/O Configuration. monitoring. perf special.

Best Practices 40

Best Practices Scalability Performance C++ 40

Alex Russell

MAY 9, 2022

Only teams that master their systems can make intentional trade-offs. Panglossian nonsense. --> Organisations that serve their tools tread water no matter how advanced their technology, while groups that intentionally manage systems can succeed on any stack. [1]. Performance isn't a binary and there are no silver bullets.

Performance 86

Performance Latency Metrics Engineering 86

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

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145