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Measuring Network Performance in Mobile Safari

CSS Wizardry

Google has a pretty tight grip on the tech industry: it makes by far the most popular browser with the best DevTools, and the most popular search engine, which means that web developers spend most of their time in Chrome, most of their visitors are in Chrome, and a lot of their search traffic will be coming from Google.

Network 242
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Fallacy #8: The network is homogeneous

Particular Software

Google built BigTable, Amazon built Dynamo, Facebook built Cassandra, LinkedIn came up with Voldemort. From Udi Dahan's free Distributed Systems Design Fundamentals video course Semantic interoperability The true challenge of non-homogenous networks lies in semantic interoperability. None of these things can talk to each other.

Network 98
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Snap: a microkernel approach to host networking

The Morning Paper

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. Enter Google! Upgrades are also rolled out progressively across the cluster of course. SOSP’19. It reminds me of ZeroMQ.

Network 92
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In Defence of DOM­Content­Loaded

CSS Wizardry

Google Analytics Until recently , Google Analytics also surfaces DOMContentLoaded information. Takeaways here are: Only about 10% of Chrome visitors have what Google deem to be a Good DOMContentLoaded. Not flooding the network with responses that can’t yet be used, and also making sure that the main thread is kept busy.

Metrics 326
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AWS re:Invent 2021 shines light on cloud-native observability

Dynatrace

“Because of the uncertainty of the times and the likely realities of the ‘new normal,’ more and more organizations are now charting the course for their journeys toward cloud computing and digital transformation,” wrote Gaurav Aggarwal in a Forbes article the impact of COVID-19 on cloud adoption.

AWS 225
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Digesting 2022

O'Reilly

A quick Google search will show that anxiety about an end to AI funding has continued through the year. Funding comes and goes, of course, and with the possibility of a media-driven recession, there’s always the possibility of a funding collapse. GPT-3 wasn’t new, of course, but ChatGPT made GPT-3 usable in ways people hadn’t imagined.

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The secret-sharer: evaluating and testing unintended memorization in neural networks

The Morning Paper

The secret sharer: evaluating and testing unintended memorization in neural networks Carlini et al., Take a system trained to make predictions on a language (word or character) model – an example you’re probably familiar with is Google Smart Compose. USENIX Security Symposium 2019. The exposure of a secret is then determined as.

Network 55