HammerDB

OCTOBER 8, 2018

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0.

Best Practices 40

Best Practices Scalability Performance Hardware 40

KeyCDN

AUGUST 15, 2019

Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability. Bottlenecks are just one of many problems that can occur when your website isn’t scalable. If you don’t test, then you’ll have to learn about them the hard way.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

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

Scalegrid

JULY 13, 2020

The extreme complexity also increases the risk of error which can lead to critical mistakes that cost more time and money to resolve, which is why it is a common best practice in Oracle to limit changes to only a couple times each year. Scalability. So Which Is Best? Comparison Overview. PostgreSQL.

Open Source 244

Open Source Tuning C++ Database 244

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. have adopted Kubernetes.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

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 109

Availability Database Open Source Hardware 109

Percona

OCTOBER 18, 2023

Our goal with this post is to equip you with a comprehensive understanding of the steps, best practices, and pros and cons to ensure a smooth — and successful — transition to an open source database environment. It’s a complex process involving various factors and meticulous planning.

Open Source 93

Open Source Database Hardware Strategy 93

Percona

JUNE 12, 2023

The immediate (working) goal and requirements of HA architecture The more immediate (and “working” goal) of an HA architecture is to bring together a combination of extensions, tools, hardware, software, etc., No single-point-of-failure (SPOF) : This is both an exclusion and an inclusion for the architecture.

Architecture 97

Architecture Availability Open Source Healthcare 97

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 89

Database Hardware Open Source Strategy 89

Percona

DECEMBER 27, 2023

It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. This marks the end of an era of chaos, paving the way for efficiency gains, quicker innovation, and standardized practices.

Cloud 80

Cloud Open Source Strategy Best Practices 80

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness.

Tuning 52

Tuning Efficiency Database Performance 52

HammerDB

OCTOBER 18, 2019

Nevertheless in this blog sometimes we do publish performance data to highlight best practices or potential configuration pitfalls and although we’ve mentioned this one before it is worth dedicating an entire post to it as this issue seems to appear numerous times running database workloads on Linux. (Yes

Benchmarking 63

Benchmarking Performance Hardware C++ 63

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.

Strategy 40

Strategy Storage Database Best Practices 40

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The best practices that we are collecting in the AWS Economics Center are there to help our customers get a total view on their IT cost such that they can accurately compare on-premise and cloud. All Things Distributed. Comments ().

AWS 118

AWS Hardware Traffic Best Practices 118

Percona

JULY 7, 2023

Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 85

Availability Open Source Architecture Database 85

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

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

Testsigma

JANUARY 30, 2021

Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. Best Practices For Mobile Website Testing. To make mobile web testing successful and efficient, it is always good to follow the mentioned practices.

Mobile 52

Mobile Testing Website Internet 52

All Things Distributed

APRIL 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. In addition to using Edmodo to engage students in classroom activities, teachers all over the world build profile pages on Edmodo, which they use to discover and share content, meet and stay in contact with other educators, and best practices and top resources.

Innovation 146

Innovation AWS Education Network 146

Smashing Magazine

JANUARY 7, 2019

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). From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19). From Fast By Default: Modern Loading Best Practices by Addy Osmani (Slides 18, 19).

Performance 104

Performance Cache Metrics Network 104

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). From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19). Performance budgets should adapt depending on the network conditions for an average mobile device.

Performance 145

Performance Cache Network Metrics 145

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 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). From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19). Performance budgets should adapt depending on the network conditions for an average mobile device.

Performance 145

Performance Cache Media Metrics 145