We’ve seen how the “feel” of a site can affect the business, but what does all of that tell us about how to build our sites?

• How fast should we be to reduce frustration?
• What should we be considering in our performance budgets?
• How do we leave our users feeling happy?
• I think these may be secondary questions…

A better question to start with, is:
Will adding a new feature delight or frustrate the user?

A way of validating data independently of the programming language, a sort of mustache / handlebars, but only in the world of data validation.

Using SSE Instead Of WebSockets For Unidirectional Data Flow Over HTTP/2

"The HTTP Archive is open source and the raw data is available to download. If you want, you can download all of the data, process it locally and query it as much as you want. However, that would require a lot of effort to set up. Google BigQuery makes this much easier, since the data is already loaded and can be easily queried. And because of the processing power behind BigQuery, even some of the most complex queries you write will run extremely fast."

The Chrome User Experience Report (CrUX for short) addresses this gap by providing aggregate data from real users across the top sites on the web. With it, you can confidently perform a competitive analysis of sites knowing that the data is backed by real user experiences.

Baromètre du numérique 2017 : équipement, usages et compétences numériques des Français

"C’est Amazon qui mène assez nettement les débats en étant la seule enseigne du panel à obtenir un Speed Index inférieur à 2 secondes (1895ms), suivi par Cdiscount (2375ms) et Booking.com (2599ms). À l’autre bout du classement, les 5 dernières enseignes (Castorama, Airbnb, Voyages-sncf, Carrefour et E.Leclerc) dépassent quant à elles les 6 secondes et E.Leclerc ferme la marche au-delà des 11 secondes… Soit une page plus de cinq fois plus lente à l’affichage qu’Amazon."

"The report is a public dataset of key user experience metrics for top origins on the web. All performance data included in the report is from real-world conditions, aggregated from Chrome users who have opted-in to syncing their browsing history and have usage statistic reporting enabled."

Mockaroo lets you generate up to 1,000 rows of realistic test data in CSV, JSON, SQL, and Excel formats.

fony is a simple command line tool that generates dummy JSON data from a provided template.

"Solution qui revêt plusieurs visages, de quoi parle-t-on concrètement quand on évoque les DMP ? Quels en sont les avantages et les cas d’usages ? Quelles sont les solutions du marché ? Faisons le point sur ce nouvel outil du marketing agile."

"MySQL is a better NoSQL. When considering a NoSQL use case, such as key/value storage, MySQL makes more sense in terms of performance, ease of use, and stability."

"Yep, it’s here. Almost a year after the previous release, Faker 1.6 has been released, with a ton and a half of new fake data, ridiculously useful new formatters, new locales, and bug fixes."

"Collections are Jekyll’s most powerful and simultaneously least understood feature."

Today, we’re very excited to announce the launch of the Instaparser API. Instaparser is a new API that gives developers access to the same parsing tools we use for the Instapaper service.

Une démonstration de l'utilisation de WebRTC pour des problématiques de partage de ressources de pair à pair. Une solution extrêmement pertinente dans des problématiques où les bandes passantes en téléchargement sont tendues, mais où les consultations de vidéos sont simultanées : soldes en contexte e-commerce, e-learning.
Attention en revanche à la consommation de données...