Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. This can significantly elevate user satisfaction and engagement.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. That included web servers, app services, microservices, queues, databases, mainframe and external services.

Cache 199

Cache Database Architecture Government 199

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 106

Performance Monitoring Traffic Database 106

CSS Wizardry

AUGUST 7, 2019

A lot of people surmise that TTFB is merely time spent on the server, but that is only a small fraction of the true extent of things. TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!). Expect closer to 75ms.

Latency 269

Latency Ecommerce Servers Mobile 269

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 110

Performance Latency Cache Virtualization 110

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

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

SQL Performance

JUNE 21, 2019

I've been teaching and writing about common SQL Server mistakes for many years. This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. SQL Server Agent alerts. This situation applies to on-premises SQL Server and IaaS. Statistics.

Servers 49

Servers Azure Hardware Database 49

KeyCDN

JULY 11, 2019

This is crucial due to mobile devices requiring additional optimizations because they typically have less powerful hardware and a slower network connection when compared to desktop devices. For example, while the average mobile download speed on 4G in Switzerland is fast at 35.2 Mbps ( Opensignal ). For example, the query string ?width=600&quality=70

Speed 52

Speed Website Mobile Latency 52

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. You can create your own on Chrome UX Dashboard. Large preview ). Large preview ).

Performance 145

Performance Cache Media Metrics 145

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. It enables the user to measure database performance and make comparative judgements about database hardware and software.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

SQL Performance

APRIL 27, 2020

Many of the newer features we have in SQL Server were initially launched in Azure SQL Database, including (but not limited to) Always Encrypted, Dynamic Data Masking, Row Level Security, and Query Store. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. DTU Pricing Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

ACM Sigarch

OCTOBER 12, 2020

There are already standard benchmark suites for JavaScript performance in the browser, and we can include applications written in node.js (server-side JavaScript), Python web servers, and more. Are caches large enough for this code? There’s some work on hardware proposals for these systems, like Zhu et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 52

Performance Latency Cache Virtualization 52

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

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? Is it expensive JavaScript, slow web font delivery, heavy images, or sluggish rendering? Large preview ).

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

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? Start Render time, Speed Index ). Rendering metrics provide an estimate of how fast content renders (e.g.

Performance 103

Performance Cache Metrics Network 103

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 54

Performance Benchmarking Cache Storage 54

The Morning Paper

FEBRUARY 20, 2020

An extended version of SQL Server, with an integrated ONNX Runtime engine executes the query. " This is very important performance-wise: unlike most traditional ML frameworks, NN engines support out-of-the-box hardware acceleration through GPUs/FPGAs/NPUs as well as code generation." Static analysis and the IR. The last word.

Processing 72

Processing Hardware Database Azure 72

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. Application performance.

Energy 130

Energy Latency Performance Network 130

Dotcom-Montior

JUNE 15, 2020

The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet. Websites and apps that are allowed to be used in China can be accessed at a very fast speed, up to the recent 5G (20Gbps) upgrade.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

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. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 124

Performance Network Cache Metrics 124

Randon ASCII

FEBRUARY 25, 2018

In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Jumping too quickly to blaming hardware or build tools is a classic mistake, but in this case the mistake was that we weren’t thinking big enough.

Programming 79

Programming Hardware Cache Code 79

SQL Performance

MARCH 8, 2021

SQL Server 2014 SP2 and later produce runtime (“actual”) execution plans that can include elapsed time and CPU usage for each execution plan operator (see KB3170113 and this blog post by Pedro Lopes). SQL Server makes some timing adjustments in parallel plans to promote consistency, but they are not perfectly implemented. TheYear , CA.

Servers 95

Servers Tuning Architecture Processing 95

Alex Russell

OCTOBER 22, 2017

Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. The server sends it as a stream of bytes and when the browser encounters each of the sub-resources referenced in the document, it requests them. For a timely introduction, I recommended Kevin Schaaf’s recent talk.

Performance 68

Performance Benchmarking Network Mobile 68

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. Beyond that, the RDBMS wins: For the Word2Vec and LDA computations the speed-ups as the number of dimensions/topics grows are very significant (e.g

Network 44

Network Database Programming Hardware 44

Smashing Magazine

APRIL 29, 2021

From Speed at Scale with Katie Hempenius and I at Google I/O. Device Pixel Ratio (DPR) represents how a CSS pixel is translated to physical pixels on a hardware screen. This is sent by the client, allowing the server to deliver an image format that is the best fit for the user. Large preview ). Content Negotiation. Note: Next.js

Media 145

Media Network Metrics Mobile 145

Smashing Magazine

AUGUST 22, 2021

A Primer on Speed. Discussing performance and “speed” can quickly get complex, because many underlying aspects contribute to a web-page loading “slowly”. Latency can be roughly defined as the time it takes to send a packet from point A (say, the client) to point B (the server). and prior (a)).

Performance 105

Performance Network Latency Servers 105

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Application Servers. Apache FTP server.

Architecture 52

Architecture Cache Azure Storage 52