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Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Bamboo, Azure DevOps, AWS CodePipeline ….

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WebPageTest API

CSS - Tricks

google-analytics.com", "sanList":[ "*.google-analytics.com", google-analytics.com", "*.fps.goog", Linux; Android 6.0.1; Moto G (4)) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Mobile Safari/537.36 PTST/210419.211328", "accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",

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Front-End Performance Checklist 2021

Smashing Magazine

Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). For each of them, Google recommends a range of acceptable speed goals.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Real User Monitoring ( RUM ) tools evaluate user interactions continuously and collect field data (e.g. synthetic testing tools and RUM together provide a complete picture of performance in your application.

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Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]

Smashing Magazine

Keep in mind that a good performance picture covers a set of performance metrics, lab data and field data : Synthetic testing tools collect lab data in a reproducible environment with predefined device and network settings (e.g. Real User Monitoring ( RUM ) tools evaluate user interactions continuously and collect field data (e.g.

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Transforming enterprise integration with reactive streams

O'Reilly Software

Some of the problems were: The lack of mature testing tools made interoperability a nightmare, especially when services stopped adhering to their own self-published service contracts. AWS, Kafka, Google Cloud, Spring, ElasticSearch). HTTP, TCP, FTP, MQTT, JMS), databases (i.e., From one-off scripts to reusable blueprints.