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. Missing caching layers, e.g. provide a read-only cache for static data. Missing retry and failover implementations.

Cache 203

Cache Architecture Database Government 203

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. The NOPM Metric. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

DZone

FEBRUARY 21, 2021

CPU consumption in Unix/Linux operating systems are studied using 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In this article, let's study ‘nice CPU time’. What Is ‘nice’ CPU Time?

Operating System 133

Operating System Hardware Metrics Systems 133

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). only to find that the resource they’re requesting isn’t in that PoP ’s cache. can all provide valuable insights. Routing: If you are using a CDN—and you should be!—a a customer in Leeds might get routed to the MAN datacentre.

Latency 269

Latency Ecommerce Servers Mobile 269

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g.,

Benchmarking 97

Benchmarking Cache Latency Tuning 97

HammerDB

APRIL 19, 2023

The table below shows the performance characteristics of both benchmarks captured using the System Activity Reporter (SAR) tool in Linux: sysbench HammerDB sysbench/ HammerDB CPU METRICS cpu_utilization_% 66.83 DISK METRICS sysstat_io_nvme0n1_avg_wait_ms 8.32 NETWORK METRICS sysstat_net_ens260f1_rx_kB/s 38,241 22,700 1.68

Performance 54

Performance Benchmarking Cache Storage 54

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Getting Ready: Planning And Metrics Performance culture, Core Web Vitals, performance profiles, CrUX, Lighthouse, FID, TTI, CLS, devices. Getting Ready: Planning And Metrics. DOM complete, time to first byte, first input delay, client CPU and memory usage. Get a free trial of LogRocket today.

Performance 145

Performance Cache Media Metrics 145

The Morning Paper

JUNE 25, 2019

This paper is all about the design of efficient data structures for far-memory, which turns out to have consequences reaching all the way down to the hardware. A far memory data structure has: far data in far memory, containing the core content of the data structure data caches at clients algorithms for operations. Refreshable vectors.

Design 80

Design Cache Hardware Scalability 80

CSS - Tricks

JULY 25, 2019

Cache-Headers missing? Lighthouse records metrics from the browser, applies a scoring model to them, and presents an overall performance score. Guidelines for improvement are suggested based on how specific metrics score. During performance tests, Lighthouse records many metrics focused on what a user sees and experiences.

Google 71

Google Engineering Speed Mobile 71

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. 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. The Moto G4 , for example. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. This becomes really important for cache solutions like Redis™. Where to host your cloud database? Learn more. Database Trends. Learn more.

Cloud 242

Cloud Azure AWS Database 242

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 108

Availability Database Open Source Hardware 108

The Morning Paper

MARCH 17, 2020

Applications and files systems access App Direct memory using CPU instructions offering a variety of options for controlling the ordering of store operations: cache-line flush, cache-line write back, and non-temporal stores (bypassing the cache hierarchy). Use non-temporal stores for large transfers, and control cache evictions.

Scalability 59

Scalability Latency Cache Media 59

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals. Defining The Environment.

Performance 104

Performance Cache Network Metrics 104

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. RUM gathers metrics from passive users while real user testing monitors testers who are actively looking for problems and vulnerabilities.

Strategy 72

Strategy Metrics Monitoring Servers 72

Brendan Gregg

AUGUST 18, 2019

bpftrace is suited for this kind of analysis: decomposing metrics into distributions or per-event logs, and creating new metrics for visibility into blind spots. hardware Hardware counter-based instrumentation. There are often two modes, one for device cache hits and one for cache misses, which can be shown by this tool.

Latency 68

Latency C++ Cache Programming 68

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

MachMetrics

JANUARY 23, 2020

We wanted to have control of the hardware that runs our tests and deliver consistent results. The website hasn’t had any changes made to it, (it’s a personal site I haven’t updated in some time), and you can see how each individual metric varies. In fact, it was the driving force in the creation of MachMetrics.

Speed 62

Speed Testing Website Cache 62

Alex Russell

APRIL 29, 2021

Another window into this question is provided by the Web Confluence Metrics project. An extension to Service Workers that enables browsers to present users with cached content when offline. is access to hardware devices. Some commenters appear to confuse unlike hardware for differences in software. Converging Views.

Media 145

Media Games Education Engineering 145

Smashing Magazine

JANUARY 21, 2021

Image source: Lighthouse Metrics ) ( Large preview ). Plus a service worker that caches all static assets and serves them for repeat views, along with cached versions of articles that a reader has already visited. This is where we started. As it happened, we lost track of performance in the busyness of day-to-day routine.

Performance 145

Performance Cache Mobile Network 145

Smashing Magazine

JANUARY 15, 2019

The key metric for measuring the sustainability of a digital product is its energy usage. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. A particular favorite in the WordPress space is WP Super Cache. These include data transfer (i.e.

Website Performance 73

Website Performance Website Energy Performance 73

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We use different types of caching techniques depending on the problem statements. Disk based caching. Hybrid Sync. On prem data processing. Offline access.

Architecture 52

Architecture Cache Azure Storage 52

Alex Russell

OCTOBER 22, 2017

This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. Very rarely have we seen a team succeed that doesn’t set budgets, gather RUM metrics, and carry representative customer devices. Teams with budgets also find it easier to track and graph progress.

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

APRIL 29, 2021

Largest Contentful Paint (LCP) is a Core Web Vitals metric that measures when the largest contentful element (images, text) in a user’s viewport, such as one of these images, becomes visible. Cumulative Layout Shift (CLS, a Core Web Vitals metric) measures the instability of content. Lighthouse. Large preview ). Large preview ).

Media 145

Media Network Metrics Mobile 145

Smashing Magazine

AUGUST 22, 2021

For web-page loading, this slow-start approach can also affect metrics such as the first contentful paint, because only a small amount of data (tens of to a few hundred KB) can be transferred in the first few round trips. Examples include repeat visits on well-cached pages and background downloads and API calls in single-page apps.

Performance 106

Performance Network Latency Servers 106

SQL Performance

MARCH 8, 2021

This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. Total elapsed time is 933ms with 6,673ms of CPU time with a warm cache. How row mode metrics are collected.

Servers 95

Servers Tuning Architecture Processing 95

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data version can be specified by a timestamps or application-specific metric. Permanent redirection means that the client is able to cache the mapping between the shard and the node. Data Placement.

Database 213

Database Latency C++ Scalability 213

All Things Distributed

JANUARY 18, 2012

DynamoDB frees developers from the headaches of provisioning hardware and software, setting up and configuring a distributed database cluster, and managing ongoing cluster operations. CloudWatch metrics enable customers to make informed decisions about the right amount of throughput to dedicate to a particular table.

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

AUGUST 20, 2013

In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Incremental computations over sliding windows is a group of techniques that are widely used in digital signal processing, in both software and hardware. In-Stream Processing Patterns.

Big Data 154

Big Data Processing Lambda Database 154