Remove 2022 Remove Azure Remove Internet Remove Virtualization
article thumbnail

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

Brendan Gregg

It was a great privilege. ## SREcon 2023 CFP Tech moves fast, however, and I have little time to reflect on 2022 when there's 2023 to plan! And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. The call for participation ends on March 2nd 23:59 SGT!

article thumbnail

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

Brendan Gregg

SREcon 2023 CFP Tech moves fast, however, and I have little time to reflect on 2022 when there's 2023 to plan! And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. It was a great privilege. The call for participation ends on March 2nd 23:59 SGT!

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is cloud-native architecture? Set yourself up for cloud success

Dynatrace

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Cloud platforms are fully virtualized and, consequently, highly automated.

Cloud 162
article thumbnail

Slower Memory Zeroing Through Parallelism

Randon ASCII

I’d been testing on a virtual machine in a data center that I had access to, purely because this machine has an internet connection that runs at over 2 Gbps. I used Google Compute Engine ( I couldn’t get Azure to work ) to create a 128-logical-processor machine running Windows Server 2022 DataCenter. Case closed.

Cache 105
article thumbnail

Generative AI in the Enterprise

O'Reilly

ChatGPT was opened to the public on November 30, 2022, roughly a year ago; the art generators, such as Stable Diffusion and DALL-E, are somewhat older. AI users also need to expect incorrect answers and to be equipped to check virtually all the output that an AI produces. Until AI reaches 100%, it’s still in the process of adoption.