HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. 0.42 %sys 9.52

Performance 54

Performance Benchmarking Cache Storage 54

Percona

JULY 25, 2023

When a new node joins the cluster, SST is performed to receive the data from DONOR to the JOINER. JOINER uses PXB to stream the data directory from DONOR. Percona XtraBackup copies the InnoDB data files. Percona XtraBackup copies the InnoDB data files. ibd2sdi data/test/t1.ibd ibd2sdi data/test/t1.ibd

Cache 89

Cache Benchmarking Servers Design 89

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide.

Performance 129

Performance Hardware Tuning Storage 129

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes.

Storage 55

Storage Cache C++ Virtualization 55

Brendan Gregg

JUNE 29, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 40

Benchmarking Latency Cache Network 40

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

Performance 107

Performance Monitoring Traffic Database 107

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 102

Monitoring Scalability Cache Database 102

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. Storage optimized – High disk throughput and IO. Premium storage support. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

The Morning Paper

AUGUST 29, 2019

There’s a broad set of choices including where you store the data, whether you run your own DBMS nodes or use a service, the kinds of instance types to go for if you do run your own, and so forth. We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

SEPTEMBER 1, 2023

Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. An unoptimized indexing strategy can impede data insertion and retrieval operations. This can significantly elevate user satisfaction and engagement.

Tuning 52

Tuning Database Performance Hardware 52

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies.

Tuning 52

Tuning Efficiency Database Performance 52

n0derunner

MAY 6, 2019

A 2007 paper, that still has lots to say on the subject of benchmarking storage and filesystems. Primarily aimed at researchers and developers, but is relevant to anyone about to embark on a benchmarking effort. A Nine year study of filesystem and storage benchmarking Download. The post New (Old) Paper.

Benchmarking 40

Benchmarking Storage Cache Testing 40

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . Before the database is started your data should be in a consistent state on disk. When the database is started a component of the in-memory database instance is the data buffer.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Percona

JANUARY 9, 2023

NOTE : All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM). But why we can’t just cache the actual number of the rows?

Cache 79

Cache Engineering Storage Speed 79

n0derunner

SEPTEMBER 17, 2018

Creating a HCI benchmark to simulate multi-tennent workloads. As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement. As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

The Morning Paper

JUNE 16, 2019

A typical backing store for a web application contains data for many users. The application makes queries on behalf of an authenticated user, but it is up to the application itself to make sure that the user only sees data they are entitled to see. Towards multiverse databases Marzoev et al., HotOS’19.

Database 90

Database Cache Benchmarking Efficiency 90

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. The L3 cache size is 64MB. I wrote about using CPU-Z to benchmark the Intel Xeon E5-2673 v3 processor in an Azure VM in this article. Figure 1: CPU-Z Benchmark Results for LS16v2.

Azure 42

Azure Virtualization Storage Benchmarking 42

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Fault tolerance aims for zero downtime and data loss. Data replication : Data is continually copied from one database to another to ensure that the system remains operational even if one database fails.

Availability 111

Availability Database Open Source Hardware 111

CSS - Tricks

JUNE 5, 2020

The HBO sitcom Silicon Valley hilariously followed Pied Piper, a team of developers with startup dreams to create a compression algorithm so powerful that high-quality streaming and file storage concerns would become a thing of the past. In my benchmarks, Brotli:11 takes several hundred milliseconds to compress a single minified jQuery file.

Cache 79

Cache Website Servers Open Source 79

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. It will help you build up a company-tailored case study with real data.

Performance 145

Performance Cache Media Metrics 145

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

SQL Server According to Bob

JANUARY 11, 2020

To ensure data integrity for our customers who are running SQL Server, it is important that I/O environments provide appropriate functionality. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed.

Servers 40

Servers Cache Media Hardware 40

Smashing Magazine

JANUARY 6, 2020

It will help you build up a company-tailored case study with real data. Furthermore, using data from case studies and experiments published on WPO Stats will help increase sensitivity for business about why performance matters, and what impact it has on user experience and business metrics. Large preview ). Large preview ).

Performance 145

Performance Cache Network Metrics 145

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. Deciding what benchmark to use for a performance budget is crucial. Given the conflicted data we see across our other systems, this seems about right as a baseline.

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

JANUARY 11, 2020

If ​​ it is ​​ not, ​​ the ​​ data ​​ is considered ​​ to be ​​ changed ​​ or ​​ damaged. In ​​ other words, ​​ a formula is applied ​​ to a given set of bytes.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52