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 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. And this all has to work for whole-system executions, not just the C-language portion of user processes.

C++ 61

C++ Hardware Virtualization Benchmarking 61

The Morning Paper

MAY 23, 2019

Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. 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.

Cache 61

Cache Benchmarking Hardware Java 61

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Abhishek Tiwari

DECEMBER 13, 2017

Can machine learning-based data structures i.e. learned data structures replace traditional data structures? The initial results show that learned data structures can outperform existing data structures. This has far-reaching implications how future data systems and algorithms will be designed.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

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

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

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 40

Hardware Latency Virtualization Cloud 40

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. How can IT teams deliver system availability under peak loads that will satisfy customers?

Infrastructure 181

Infrastructure Availability Systems Retail 181

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Systems built with lots of microservices have different operational characteristics to those built from a small number of monoliths, we’d like to study and better understand those differences.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. In fact, it can be difficult to make code changes that won’t disrupt the entire system.

Architecture 230

Architecture Artificial Intelligence Cloud Open Source 230

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. Understanding this DBaaS system might take some adjusting too similar just how traveling on cruises has its tempo which requires us to get used to optimally benefit from what it provides.

Database 130

Database Cloud Hardware Storage 130

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. What happens if the random data is a valid pointer by coincidence? You usually get an extra junk frame.

Java 145

Java Cache Google Hardware 145

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Operating system Linux is the most common operating system for high-performance MySQL servers. Benchmark before you decide.

Performance 129

Performance Hardware Tuning Storage 129

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

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks . uname -a Linux ubuntu19 5.3.0-rc3-custom

Benchmarking 63

Benchmarking Performance Hardware C++ 63

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. High availability does not guarantee 100% uptime, but an HA system enables you to minimize downtime to the point you’re almost there.

Availability 82

Availability Hardware Open Source Database 82

All Things Distributed

NOVEMBER 21, 2018

In this post, I show some of the reasons why that's true, using the Amazon Redshift team and the approach they have taken to improve the performance of their data warehousing service as an example. Verifying benchmark claims. This yields hundreds of millions of data samples. Verifying benchmark claims.

Cloud 135

Cloud Benchmarking Performance AWS 135

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. Take a simple example: it would be really nice if we could have named dimensions instead of always having to work with indices.

Systems 87

Systems Tuning Programming Innovation 87

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

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. We’re now allowing for even easier OneAgent rollout by freeing up the /opt mount point from any runtime data that’s produced by OneAgents. Dynatrace news.

Best Practices 195

Best Practices Storage Java Benchmarking 195

ACM Sigarch

OCTOBER 12, 2020

An inte ger in Python consumes 24 bytes instead of 4 bytes (because every object carries around type information, reference counts, and more), while the overhead for data structures like lists or dictionaries can be 4x that of their C++ counterparts. There’s some work on hardware proposals for these systems, like Zhu et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. .” More in the following sub-section.)

Availability 111

Availability Database Open Source Hardware 111

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. On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

Programming 67

Programming Benchmarking Virtualization C++ 67

The Morning Paper

JUNE 11, 2019

Beyond data and model parallelism for deep neural networks Jia et al., 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. SysML’2019. Expanding the search space.

Network 81

Network Strategy Hardware Benchmarking 81

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. 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. Converging Views.

Media 145

Media Games Education Engineering 145

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Automated Backups and Point-in-Time Recovery Aurora provides automated backup and point-in-time recovery, simplifying backup management and data protection.

AWS 52

AWS Database Serverless Storage 52

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. To ensure data integrity for our customers who are running SQL Server, it is important that I/O environments provide appropriate functionality. Complying with all applicable copyright laws is the responsibility of the user.

Servers 40

Servers Cache Media Hardware 40

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 48

Benchmarking Database Operating System Architecture 48

Alex Russell

MARCH 6, 2021

Before Jio's disruptive pricing and aggressive rollout, data services in India were among the most expensive in the world relative to income and heavily reliant on 3G outside wealthier "tier 1" cities. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain.

Performance 124

Performance Network Cache Metrics 124

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

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. 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. Global Ground-Truth.

Performance 68

Performance Benchmarking Network Mobile 68

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

Alex Russell

JANUARY 30, 2024

Until and unless teams have better data about their performance, the global baseline budget should be enforced. 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. Geekbench 5 single-core scores for each mobile price point."

Performance 90

Performance Network Mobile Speed 90

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

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