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Kubernetes vs Docker: What’s the difference?

Dynatrace

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. In production, containers are easy to replicate.

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Progress Delayed Is Progress Denied

Alex Russell

Apple forces developers of competing browsers to use their engine for all browsers on iOS , restricting their ability to deliver a better version of the web platform. They are, pound for pound, some of the best engine developers globally and genuinely want good things for the web.

Media 145
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Stuff The Internet Says On Scalability For July 27th, 2018

High Scalability

143 billion : daily words Google Translated; 73% : less face-to-face interaction in open offices; 10 billion : Uber trips; 131M : data breach by Exactis; $123 billion : Facebook value loss is 4 Twitters and 7 snapchats; $9.1B : spent on digital gaming across all platforms; 20-km : width of lake on mars; 1 billion : Google Drive users; $32.7

Internet 124
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person!

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5 types of tests that can be automated for your iOS

Testsigma

To write Swift code we use an IDE(Integrated Development Environment) or toolkit called Xcode , they both are backed by Apple. Example: A new functionality is added in a gaming iOS application and is unit tested successfully. Swift is a modern and latest programming language for writing code for macOS, iOS, watchOS, etc.

Testing 84
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From Heavy Metal to Irrational Exuberance

ACM Sigarch

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. But any time memory and application logic moves into Python land, it’s game over. Is there room for accelerators?

C++ 108
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Structural Evolutions in Data

O'Reilly

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle.