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Turbocharge Your Content Delivery With CDN Multiple Origins Load Balancer!

IO River

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. Maintenance Without MayhemWhat happens when one of your servers/data centers needs a tune-up? Turbocharge Your Content Delivery With CDN Multiple Origins Load Balancer!

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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

Working from home is another tipping point, enabled by widespread deployment of laptops, home internet with capacity to run video (thanks in part to Netflix and other streaming services), and distributed productivity tools, then kicked over the line by the COVID-19 lockdown.

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Turbocharge Your Content Delivery With CDN Multiple Origins Load Balancer!

IO River

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. Maintenance Without MayhemWhat happens when one of your servers/data centers needs a tune-up? Turbocharge Your Content Delivery With CDN Multiple Origins Load Balancer!

Traffic 40
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I Actually Chatted with ChatGPT

O'Reilly

Most notably, ChatGPT is tuned to be overly-friendly and overly-agreeable (sounding like a customer service agent) so it will simply go along with whatever you assert. Thus, it will be important to design ways to both manage those risks and educate users about how to safely operate these increasingly-powerful systems.

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World’s Top Web Performance Leaders To Watch

Rigor

Sergey is a principal engineer at Meetup and a well-known performance educator who regularly runs monthly hands-on Meet4SPEED events in New York City. Sergey is an open source developer, tireless educator on performance topics, and author of many web performance-related tools, including ShowSlow , SVN Assets , drop-in.htaccess and more.

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Solaris to Linux Migration 2017

Brendan Gregg

Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less). The odd time we hit them, we'll take the "oops message" – a dump of the kernel stack trace and other details from the system log – and search the Internet.

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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This transition represents a big leap forward: it requires investment in people, in infrastructure, and in education.