Smashing Magazine

JUNE 2, 2021

Improving The Performance Of An Online Store (Case Study). Improving The Performance Of An Online Store (Case Study). The project consisted of upgrading the shop software to our own open-source system and redoing the shop’s front end from scratch. See the Pen [Jewellerybox Case Study (Example #1)]([link] by Pfenya.

Performance 115

Performance Cache Website Mobile 115

Rigor

DECEMBER 19, 2019

For example, in a case study published by Gilt Groupe , Eric Shepherd, who was formerly Gilt’s principal front end engineer, noted that: Both RUM and synthetic monitoring give different views of our performance, and are useful for different things. Benchmark Against Competitors. About Rigor.

Monitoring 40

Monitoring Benchmarking Website Traffic 40

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

Smashing Magazine

JANUARY 11, 2021

In many organizations, front-end developers know exactly what common underlying problems are and what strategies should be used to fix them. It will help you build up a company-tailored case study with real data. In that case, you could pick your worst data point in the past two weeks as a threshold, and take it from there.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

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. It will help you build up a company-tailored case study with real data. How to get there?

Performance 145

Performance Cache Network Metrics 145

Highly Scalable

MARCH 10, 2015

Many articles and case studies published during the last decade successfully achieve the balance between abstract models and machine learning. In most cases it is reasonable to model and optimize gross margin, but, as we will discuss in the next section dedicated to response modeling, other objectives are also possible.

Retail 152

Retail C++ Analytics Metrics 152