Dynatrace

OCTOBER 27, 2020

Dynatrace news. Especially in enterprise-wide environments, it’s challenging to centrally ensure that credentials are never exposed to unauthorized people. Credentials may, for example, be unintentionally exposed in log files, shared documents, and internal (or even external) source code repositories. Last year GitHub reported that they have identified one billion potential tokens committed to GitHub repositories in the first year of running their secret scanning service.

Tuning 150

Tuning Scalability Availability Code 150

DZone

OCTOBER 27, 2020

Quality Sense is back for season two! Did you miss us? In this episode, Federico invited Fernanda Sesto , a socially-minded Latina entrepreneur, current University of Rochester student, and a former Abstracta team member, to share a bit of what it was like for her to start working in testing at the ripe old age of 18!

Testing 142

Testing Software Software Education 142

Kovair

OCTOBER 27, 2020

In earlier days, development(Dev) and operations(Ops) activities used to function in silos. But in the case of DevOps, it is not so.

DevOps 105

DevOps Testing Development 105

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. The newcomer to the scene was Cumulative Layout Shift (CLS), and, not surprisingly, it's the metric that's gotten the most questions.

Retail 82

Retail Benchmarking Google Metrics 82

Dareboost

OCTOBER 27, 2020

Damien Jubeau – CEO Hello everyone, I have some very exciting news to share with you! Today, I can officially let you know that Dareboost will be joining forces with Digital Experience Analytics Platform Contentsquare. We created Dareboost seven years ago with Yoann, Rémi and Anthony with the ambition of contributing to a faster web.

Analytics 52

Analytics 52

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and perio

Latency 243

Latency Storage Big Data Tuning 243