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

Brendan Gregg

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. 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!

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Towards federated learning at scale: system design

The Morning Paper

Towards federated learning at scale: system design Bonawitz et al., Secure aggregation was introduced in a 2017 paper by Bonawitz et al., ‘ Practical secure aggregation for privacy-preserving machine learning.’ The FL Plan is also represented by a Python program. SysML 2019. ” Secure Aggregation.

Systems 71
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. 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!

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As-Salaam-Alaikum: The cloud arrives in the Middle East!

All Things Distributed

2017 continues a busy year for AWS in the Middle East. We have supported the development of technology skills across the region with Training and Certification programs to help customers develop skills to design, deploy, and operate their infrastructure and applications on the AWS Cloud.

Cloud 152
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5 automation trends in software development, quantified

O'Reilly Software

Recently, we dove into our assessment data to discover—and quantify —trends in software development, each time comparing 2016 to 2017. Trend 1: The percentage of teams that do not automate deployment shrank from 26% in 2016 to 11% in 2017. Trend 4: More teams are enforcing full quality control (31% in 2017, up from 23% in 2016).

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Real-Real-World Programming with ChatGPT

O'Reilly

The inspiration (and title) for it comes from Mike Loukides’ Radar article on Real World Programming with ChatGPT , which shares a similar spirit of digging into the potential and limits of AI tools for more realistic end-to-end programming tasks. Setting the Stage: Who Am I and What Am I Trying to Build?

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PlanAlyzer: assessing threats to the validity of online experiments

The Morning Paper

It’s easy to make experimental design mistakes that invalidate your online controlled experiments. PlanAlyzer acts a bit like a linter for online experiment designs, where those designs are specified in the PlanOut language. Experimental design with PlanOut. What can go wrong in experiment design?