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Historical Archive?—?Cloud Camp?—?September 2008

Adrian Cockcroft

September 2008 [I found this in an archive and thought it was worth sharing 10 years on. link] Google App Engine?—? 30 mins) Closing Remarks: 9:40 pm (10 mins) Let’s Party 9:50 pm (40 mins) Date : Tuesday, September 30, 2008 from 06:00 PM?—?10:00 Historical Archive?—?Cloud Cloud Camp?—?September Sponsors : Sun?—? link] GoGrid?—?

Cloud 40
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Historical Archive?—?Cloud Camp?—?September 2008

Adrian Cockcroft

September 2008 [I found this in an archive and thought it was worth sharing 10 years on. link] Google App Engine?—? 30 mins) Closing Remarks: 9:40 pm (10 mins) Let’s Party 9:50 pm (40 mins) Date : Tuesday, September 30, 2008 from 06:00 PM?—?10:00 Historical Archive?—?Cloud Cloud Camp?—?September Sponsors : Sun?—? link] GoGrid?—?

Cloud 40
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought provoking.

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

Brendan Gregg

Google and Amazon’s latest AI chips have arrived," [link] Oct 2022 - [Intel 22] Intel, "Intel® Developer Cloud," [link] accessed Dec 2022 I've taken care to cite the author names along with the talk titles and dates, including for Internet sources, instead of the common practice of just listing URLs.

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A Day in the Life of a Content Analytics Engineer

The Netflix TechBlog

be it SQL, Jupyter Notebooks, Tableau, or Google Sheets. This turned out to be a wise choice as I avoided entering the workforce right before the 2008 recession. Through a combination of my existing network, the interview process, and other online resources about the company, I found that folks are actually very friendly and helpful!

Analytics 136
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought-provoking.

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Structural Evolutions in Data

O'Reilly

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” Not that you’ll even need GPU access all that often.

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