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. More in the following sub-section.)

Availability 107

Availability Database Open Source Hardware 107

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 78

Availability Hardware Open Source Database 78

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. 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. HammerDB Licensing.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Morning Paper

JUNE 27, 2019

Machine learning systems are stuck in a rut Barham & Isard, HotOS’19. In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. Recall that back ends are structured around calls to large monolithic kernels.

Systems 87

Systems Tuning Programming Innovation 87

The Morning Paper

SEPTEMBER 27, 2020

Furthermore, as hardware and compiler optimisations rapidly evolve, it is challenging even for a knowledgeable developer to keep up. The study is conducted using a suite of 7 real-world popular scientific applications, and two well-established benchmark suites: Miniaero solves the compressible Navier-Stokes equation. The applications.

Benchmarking 101

Benchmarking Hardware Programming Code 101

ACM Sigarch

OCTOBER 12, 2020

To be clear, these languages were not designed to be fast or space-efficient, but for ease of use. Unfortunately, languages like Python have proven resistant to efficient implementation, partly because of their design, and partly because of limitations imposed by the need to interop with C code. As Leiserson et al.

C++ 108

C++ Benchmarking Hardware Architecture 108

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Note that most of the changes we’ve introduced so far and those that are detailed below are all designed to be invisible to you, taking place entirely automatically in the background.

Best Practices 193

Best Practices Storage Java Benchmarking 193

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. Operating System: Ubuntu 22.04 Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

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. Just to name a couple of languages.

Java 145

Java Cache Google Hardware 145

Percona

MAY 1, 2023

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

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

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. To benchmark a database we introduce the concept of a Virtual User.

Programming 67

Programming Benchmarking Virtualization C++ 67

The Morning Paper

MAY 23, 2019

One of the important attributes of their design was easy and rapid deployment across an existing fleet. 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. Implications.

Cache 61

Cache Benchmarking Hardware Java 61

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

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

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

The Morning Paper

JUNE 11, 2019

Traditional approaches to training exploit either data parallelism (dividing up the training samples), model parallelism (dividing up the model parameters), or expert-designed hybrids for particular situations. FlexFlow is also given a device topology graph describing all the available hardware devices and their interconnections.

Network 81

Network Strategy Hardware Benchmarking 81

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

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

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

Alex Russell

MARCH 6, 2021

Hardware Past As Performance Prologue. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. Chip design choices and silicon economics are the defining feature of the still-growing Performance Inequality Gap. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Exploring the Similarities Between Aurora vs. RDS When comparing Amazon Aurora and Amazon RDS, it becomes evident that both solutions offer time-saving benefits in systems administration.

AWS 52

AWS Database Serverless Storage 52

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

ACM Sigarch

OCTOBER 25, 2018

The phenomenon of plateauing ST performance is a consequence of design constraints – primarily power. The Thermal Design Power (TDP) of a SOC in a current Ultrabook design is constrained to 15W. In view of this it is perhaps worth pondering why ST performance growth has stalled and some options to revive the growth.

Architecture 67

Architecture Technology Technology Innovation 67

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. For instance, one can practically fit an entire learned index into the GPU’s memory.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 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. Complying with all applicable copyright laws is the responsibility of the user.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

AUGUST 23, 2021

For example: A memory node with 64 CPUs is a complete, O perating System, ​​ scheduler group. The decision is performance driven. ​​ A memory node represents the memory associated with a group of CPUs from the physical hardware. For this example, assume the host machine is single node, 8 CPU system.

Servers 40

Servers Azure Operating System Database 40

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Tools and CI systems help them monitor progress & prevent regressions. Deciding what benchmark to use for a performance budget is crucial. Some systems show median RTTs near ~100ms for 3G users. Performance budgets are set early in the life of the project.

Performance 68

Performance Benchmarking Network Mobile 68

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

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years.

Architecture 52

Architecture Cache Azure Storage 52

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

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. Engineering is the discipline of designing solutions under specific constraints. was a system properly localised? Equally advertised?),

Performance 90

Performance Network Mobile Speed 90

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Map design decisions against performance budget and the priorities defined early on.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. It’s designed to capture delays that result from the main thread being busy, especially during page load.

Performance 145

Performance Cache Media Metrics 145