DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. One, by researching on the Internet; Two, by developing small programs and benchmarking. In Byteland they have a very strange monetary system.

Java 207

Java C++ Benchmarking Programming 207

Scalegrid

JANUARY 25, 2024

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

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 83

Availability Hardware Open Source Database 83

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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

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. Click here for a longer explanation.

Java 145

Java Cache Google Hardware 145

Alex Russell

MARCH 9, 2024

Of course, it would be better from the OS vendor's perspective if everyone simply wrote all of the software for their proprietary platform, maximising OS feature differentiation. native, OS-specific) platform and the hopefully weaker web platform. But smart vendors also know that's not possible when an OS isn't dominant.

Benchmarking 59

Benchmarking Strategy Internet Internet 59

ACM Sigarch

OCTOBER 12, 2020

I suggest it’s long past time to move beyond C and SPEC benchmarks and our exclusive focus on “metal” languages. There are already standard benchmark suites for JavaScript performance in the browser, and we can include applications written in node.js (server-side JavaScript), Python web servers, and more.

C++ 108

C++ Benchmarking Hardware Architecture 108

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. Operating System: Ubuntu 22.04 Operating System: Ubuntu 22.04 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. The /opt directory is typically used for deployment of additional software running on the Unix system. Dynatrace news.

Best Practices 199

Best Practices Storage Java Benchmarking 199

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Compare Ease of Use.

Open Source 244

Open Source Tuning C++ Database 244

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. At hardware reset the boot code is granted maximally permissive architectural capabilities.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Percona

JUNE 22, 2023

Indexing efficiency Monitoring indexing efficiency in MySQL involves analyzing query performance, using EXPLAIN statements, utilizing performance monitoring tools, reviewing error logs, performing regular index maintenance, and benchmarking/testing. This KPI is also directly related to Query Performance and helps improve it.

Performance 108

Performance Monitoring Traffic Database 108

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. Basic Benchmarking Concepts. Basic Benchmarking Concepts. Database benchmarking in parallel.

Programming 67

Programming Benchmarking Virtualization C++ 67

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

MAY 23, 2019

Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below. Evaluation.

Cache 61

Cache Benchmarking Hardware Java 61

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Microbenchmark os::javaTimeMillis() on both systems. Running this on the two systems saw similar results.

Speed 126

Speed Java AWS Virtualization 126

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. All modern browsers are fast, Chromium and Safari/WebKit included. Media Session API.

Media 145

Media Games Education Engineering 145

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench.

Benchmarking 49

Benchmarking Database Operating System Architecture 49

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

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Microbenchmark os::javaTimeMillis() on both systems. Running this on the two systems saw similar results.

Speed 52

Speed Java AWS Virtualization 52

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. For RDS products, shell access to the underlying operating system is disabled, and access to MySQL user accounts with the “SUPER” privilege isn’t allowed.

AWS 52

AWS Database Serverless Storage 52

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

Servers 46

Servers Hardware Architecture Retail 46

Abhishek Tiwari

DECEMBER 27, 2017

Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. Obviously, containerized data workloads have their own challenges. optimised container networking and security.

Big Data 63

Big Data Storage Benchmarking Hardware 63

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Abhishek Tiwari

DECEMBER 13, 2017

This has far-reaching implications how future data systems and algorithms will be designed. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Data structures are very foundational for the computer science and software engineering.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Microbenchmark os::javaTimeMillis() on both systems. Running this on the two systems saw similar results.

Speed 40

Speed Java AWS Virtualization 40

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Important When planning, deploying, and maintaining a Microsoft SQL Server installation, ensure that the I/O system supports all the factors outlined in this article. The modifications persist even in the event of a system failure.

Servers 40

Servers Cache Media Hardware 40

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. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

John McCalpin

JANUARY 22, 2018

The double-precision matrix multiplication routine “DGEMM” is typically the computational kernel that achieves the highest fraction of peak performance on high performance computing systems. Timers and hardware performance counters are measured immediately outside the loop, where their overhead is negligible.

Latency 40

Latency Hardware Code Testing 40

Alex Russell

JANUARY 30, 2024

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. Lest we assume low-end means "short-lived", recent announcements regarding software support for these devices will considerably extend their impact.

Performance 90

Performance Network Mobile Speed 90

All Things Distributed

NOVEMBER 21, 2018

People often ask me if developing for the cloud is any different from developing on-premises software. Verifying benchmark claims. The biggest difference between developing for the cloud and developing on-premises software is that in the cloud, you have much better access to how your customers are using your services.

Cloud 135

Cloud Benchmarking Performance AWS 135

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 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. On a middle-class mobile device, that accounts for 15–25 seconds for Time-To-Interactive.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. compared to early 2015.

Performance 145

Performance Cache Media Metrics 145