Speed Curve

FEBRUARY 5, 2024

Google recommends that TTFB be 800ms at the 75th percentile. Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. This data is available by enabling the mPulse behavior in property manager. Definitely worth a read!

Servers 57

Servers Cache Retail Benchmarking 57

Speed Curve

MARCH 7, 2022

How does page bloat affect other metrics, such as Google's Core Web Vitals? And if that already wasn’t enough, the number of images on a page has been linked to lower conversion rates on retail sites. Image size is another issue, as excessive image weight hurts your SEO ranking in Google Image Search. More on that later.).

Mobile 145

Mobile Benchmarking Google Metrics 145

Speed Curve

OCTOBER 27, 2020

Back in May, we shared that SpeedCurve supports Google's Core Web Vitals in both our synthetic monitoring and LUX real user monitoring tools. Two of the Web Vitals – Largest Contentful Paint (LCP) and First Input Delay (FID) – were actually available in SpeedCurve for quite a while prior to the announcement.

Retail 80

Retail Benchmarking Google Metrics 80

Speed Curve

FEBRUARY 15, 2021

Web pages are unbelievably complex, and there are hundreds of different metrics available to track. Largest Contentful Paint (LCP) is one of Google's Core Web Vitals , so it's been getting a lot of attention lately. Cumulative Layout Shift (CLS) is another one of Google's Core Web vitals. > Long Tasks (Synthetic and RUM).

Performance 133

Performance Metrics Benchmarking Google 133

Speed Curve

MAY 1, 2023

seconds or less, which is Google's recommendation for page experience and SEO. > Largest Contentful Paint (Synthetic and RUM) Largest Contentful Paint (LCP) is one of Google's Core Web Vitals. > Cumulative Layout Shift (Synthetic and RUM) Cumulative Layout Shift (CLS) is another one of Google's Core Web Vitals.

Performance 98

Performance Metrics Media Google 98

The Morning Paper

JUNE 18, 2019

The authors of today’s paper should know a thing or two about that: Jeffrey Mogul and John Wilkes at Google 1 ! Or a system availability SLO, for availability seen by the end user, may well depend on the user carefully exploiting the available redundancy. Is there another way of thinking about this?

Metrics 79

Metrics Cloud Google Network 79

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. We could have specified a narrow definition of cloud—inclusive of the SaaS, PaaS, and infrastructure-as-a-service (IaaS) cloud; exclusive of cloud-based email, office productivity, etc.—but

Cloud 141

Cloud Serverless AWS Architecture 141