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

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 68

Programming Benchmarking Virtualization C++ 68

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

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

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 63

Benchmarking Open Source C++ Cache 63

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

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 55

Performance Benchmarking Cache Storage 55

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Database Efficiency Performance 52

John McCalpin

APRIL 25, 2023

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., GHz, 1530 GB/s peak BW from 6 HBM stacks), I see single-thread sustained memory bandwidth of 304 GB/s on the ReadOnly benchmark used here.

Benchmarking 40

Benchmarking Cache Latency Tuning 40

SQL Server According to Bob

JANUARY 11, 2020

Most manufacturers' implementations immediately flush pending writes to physical disk during the restart operations. Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

AUGUST 23, 2021

The decision is performance driven. ​​ A memory node represents the memory associated with a group of CPUs from the physical hardware. MANUAL affinity provides the best, top end performance​​ (for benchmarks by utilizing L1 caches)​​ but is susceptible to noisy, CPU neighbors.

Servers 40

Servers Azure Operating System Database 40

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Learn more here!

AWS 52

AWS Database Serverless Storage 52

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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Alex Russell

MARCH 9, 2024

In both cases, the OS will task the browser team to heavily prioritise integrations with the latest OS and hardware features at the expense of more broadly useful capabilities — e.g. shipping "notch" CSS and "force touch" events while neglecting Push. native, OS-specific) platform and the hopefully weaker web platform.

Benchmarking 60

Benchmarking Strategy Internet Internet 60

SQL Server According to Bob

JANUARY 11, 2020

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation. ​​ Also, it ​​ is ​​ generally impractical on a production system.

Servers 40

Servers Cache Database Media 40

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. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

HammerDB

DECEMBER 10, 2024

In this post, we revisit how to interpret transactional database performance metrics and give guidance on what levels of performance should be expected on up-to-date hardware and software in 2024. tpmC tpmC is the transactions per minute metric that is the measurement of the official TPC-C benchmark from the TPC-Council.

C++ 58

C++ Benchmarking Hardware Performance 58

High Scalability

NOVEMBER 25, 2019

What operating systems do you use? More details on this are in this blog post Debugging Performance Issues in Distributed Systems. The dedicated Security team runs automated security benchmark tests before every release. How are software and hardware upgrades rolled out? Which web server do you use? Nginx, HAproxy.

Architecture 52

Architecture Cache Azure Storage 52