HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

Programming 67

Programming Benchmarking Virtualization C++ 67

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

HammerDB

DECEMBER 5, 2020

First of all it has always been clear in the HammerDB documentation that the TPROC-C/TPC-C and TPROC-H/TPC-H workloads have not been ‘real’ audited and published TPC results instead providing a tool to run workloads based on these specifications.

C++ 40

C++ Benchmarking Virtualization Open Source 40

SQL Server According to Bob

JANUARY 11, 2020

Copyright The information ​​ that is contained ​​ in this document represents the current view of Microsoft Corporation on the issues discussed as of the date of publication. Complying with all applicable copyright laws is the responsibility of the user.

Servers 40

Servers Cache Database Media 40

Percona

JANUARY 19, 2023

You can refer to the documentation for further details. Sharding: Sharding is the concept of splitting data horizontally, i.e. by distributing data into multiple servers (shards), meaning that the different portions of data for a given table, may be stored on many different servers.

Open Source 85

Open Source Storage Database Big Data 85

Percona

AUGUST 5, 2023

KEY partitioning KEY partitioning is similar to HASH partitioning, except that only one or more columns to be evaluated are specified, and the MySQL server provides its own hashing function. Documentation : Always be documenting! ” This can lead to uneven resource utilization and slower performance for certain partitions.

Strategy 40

Strategy Storage Database Best Practices 40

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. This isn’t true (more on that in a follow-up post), and sites which are built this way implicitly require more script in each document (e.g., Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. Parsing CSS.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

MARCH 6, 2021

Unless a site is installed to the home screen as a PWA , any single page is just another in a series of documents that users experience as a river of links. Hardware Past As Performance Prologue. But the hardware future is not evenly distributed, and web workloads aren't heavily parallel. Mind The Gap. A 2021 Global Baseline.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 11, 2021

You can download the spreadsheet as Google Sheets, Excel, OpenOffice document or CSV. In the end, it’s not the load events or server response times that define the experience, but the perception of how snappy the interface feels. It used to provide an insight into how quickly the server outputs any data. Large preview ).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It used to provide an insight into how quickly the server outputs any data. What does it mean?

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

Document store. Application Servers. Apache FTP server. Native desktop and server hosted clients that allow both interactive as well as hybrid sync access to the entire namespace. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Video Transcoding.

Architecture 52

Architecture Cache Azure Storage 52