Brendan Gregg
NOVEMBER 29, 2017
Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. It's an exciting development in cloud computing: hardware virtualization is now fast. Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds.
Brendan Gregg
NOVEMBER 28, 2017
Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. It's an exciting development in cloud computing: hardware virtualization is now fast. Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds.
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Brendan Gregg
FEBRUARY 28, 2023
Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. [link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:
O'Reilly
FEBRUARY 18, 2020
Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. Coincidence?
ACM Sigarch
FEBRUARY 23, 2018
Richard Thaler won the 2017 Nobel prize in Economics for his work on Behavioral Economics. I had a professor in grad school who used to joke that all architecture is reinvented every 5 years. Virtualization, for instance, was being addressed by IBM in the 1960s.
Brendan Gregg
FEBRUARY 28, 2023
Titus, the Netflix container management platform, is now open source,” [link] , Apr 2018 [Cutress 19] Dr. [link] , 2021 [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] , Apr 2021 [Ghigoff 21] Yoann Ghigoff, et al.,
The Symphonia
DECEMBER 6, 2017
Correspondingly, 3GB functions should see a 2x CPU performance improvement over 1.5GB Lambdas, but this is through doubling the number of cores the function has access to, rather than double the virtualized time-slices. That means that 3GB functions might not see a linear speed bump for primarily single threaded functions. We’re the experts!
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