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. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Availability 80

Availability Hardware Open Source Database 80

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Despite all of this, Intel is not going to lose their entire server processor business any time soon.

Servers 46

Servers Hardware Architecture Retail 46

Brendan Gregg

MARCH 16, 2024

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. Back-end servers. The actual overhead depends on your workload. Others have reported around 1% and around 2%. Sure, compile without frame pointers.

Java 145

Java Cache Google Hardware 145

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 Efficiency Database Performance 52

HammerDB

NOVEMBER 22, 2021

This enables the user to compare and contrast performance across different benchmark scenarios. include/server -I/opt/postgresql-14.1/include/internal Metrics view for benchmark. When a benchmark workload has completed, use the selection tool in the graph to select the metrics for a period of time of interest.

Metrics 62

Metrics Benchmarking C++ Database 62

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

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

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

JANUARY 19, 2023

There are a couple of blog posts from Yves that describe and benchmark MySQL compression: Compression Options in MySQL (Part 1) Compression Options in MySQL (Part 2) Archive or purge old or non-used data: Some companies have to retain data for multiple years either for compliance or for business requirements.

Open Source 91

Open Source Storage Database Big Data 91

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

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 47

Benchmarking Database Operating System Architecture 47

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

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. Careful planning and continuous monitoring are crucial to facing these challenges and achieving optimal performance.

Strategy 40

Strategy Storage Database Best Practices 40

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

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. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

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? Testing And Monitoring. Is it expensive JavaScript, slow web font delivery, heavy images, or sluggish rendering?

Performance 145

Performance Cache Network Metrics 145

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Tools and CI systems help them monitor progress & prevent regressions. Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. Deciding what benchmark to use for a performance budget is crucial. Global Ground-Truth.

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

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. monitoring.

Best Practices 40

Best Practices Scalability Performance C++ 40

High Scalability

NOVEMBER 25, 2019

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. Egnyte Connect Tech Stack. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52