Percona

MARCH 27, 2023

Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 124

Cache Hardware Servers Benchmarking 124

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. It also supports the flexibility and scalability of the database infrastructure.

Availability 132

Availability Database Open Source Hardware 132

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. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Derived Workloads.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

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 72

Benchmarking Database Operating System Architecture 72

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Redundancy provides backups and safeguards against data loss in case of hardware failures. there cannot be high availability.

Availability 98

Availability Hardware Open Source Database 98

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. Database benchmarking in parallel.

Programming 68

Programming Benchmarking Virtualization C++ 68

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

HammerDB

JULY 6, 2024

In a recent project comparing systems for MariaDB performance, a user had originally been using a tool called sysbench-tpcc to compare hardware platforms before migrating to HammerDB. This is a brief post to highlight the metrics to use to do the comparison using a separate hardware platform for illustration purposes.

C++ 52

C++ Hardware Benchmarking Virtualization 52

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench.

Best Practices 40

Best Practices Scalability Performance C++ 40

Abhishek Tiwari

DECEMBER 27, 2017

A recent performance benchmark completed by Intel and BlueData using the BigBench benchmarking kit has shown that the performance ratios for container-based Hadoop workloads on BlueData EPIC are equal to and in some cases, better than bare-metal Hadoop [7]. Performance. Native frameworks.

Big Data 63

Big Data Storage Benchmarking Hardware 63

SQL Performance

AUGUST 27, 2019

It will also use less power than a two-socket Intel server, with a lower hardware cost, and potentially lower licensing costs (for things like VMware). The initial reviews and benchmarks for these processors have been very impressive: AMD EPYC 7002 Series Rome Delivers a Knockout. TPC-H Benchmark Results with SQL Server 2017.

Servers 52

Servers Benchmarking Virtualization Architecture 52

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Where VoltDB fits.

Hardware 56

Hardware Latency Virtualization Cloud 56

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

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

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

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. Scalability: As an application expands and needs to handle more data and user loads, the database must scale accordingly.

Tuning 52

Tuning Database Efficiency Performance 52

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

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.

AWS 52

AWS Database Serverless Storage 52

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Where VoltDB fits.

Hardware 40

Hardware Latency Virtualization Cloud 40

Percona

AUGUST 5, 2023

This means that multiple partitions can be processed simultaneously, making better use of available hardware resources and further enhancing query performance. Enhanced Scalability : Partitioning enhances the database’s ability to scale, as data can be distributed across different storage devices. Periodically review and adjust.

Strategy 40

Strategy Storage Database Best Practices 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

SQL Server According to Bob

JANUARY 11, 2020

ReadFile WriteFile ReadFileScatter WriteFileGather GetOverlappedResult ​​ For extended details on the 823 error, see ​​ Error message 823 may indicate hardware problems or system problems ​​ ( [link] i crosoft.com/default.aspx?scid=kb ​​ Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. On a middle-class mobile device, that accounts for 15–25 seconds for Time-To-Interactive.

Performance 112

Performance Cache Servers Network 112

Smashing Magazine

JANUARY 11, 2021

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. compared to early 2015.

Performance 145

Performance Cache Media Metrics 145

High Scalability

NOVEMBER 25, 2019

For highly scalable services, going outside of java process is costly, even to go to Memcache or Redis so we do in-memory cache with varying TTL for some highly used data structures like access control computation, feature flags, routing metadata etc. The dedicated Security team runs automated security benchmark tests before every release.

Architecture 52

Architecture Cache Azure Storage 52