Brendan Gregg

JULY 4, 2021

This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are on [slideshare] or as a [PDF]: I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.

Performance 140

Performance Latency Hardware Storage 140

Adrian Cockcroft

FEBRUARY 9, 2023

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. Netflix made many contributions to open source projects by it’s cloud platform team.

Engineering 137

Engineering Serverless Lambda AWS 137

Brendan Gregg

FEBRUARY 28, 2023

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.

Performance 110

Performance Latency Cache Virtualization 110

Brendan Gregg

JULY 4, 2021

This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are [here] or as a [PDF]: first prev next last / permalink/zoom I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.

Performance 52

Performance Latency Hardware Storage 52

Brendan Gregg

FEBRUARY 28, 2023

As for attending USENIX conferences: I finally started attending and speaking at them in 2010 when a community manager encouraged me to (thanks Deirdre Straughan), and since then I've met many friends and connections, including Amy who is now USENIX President, and Rikki with whom I co-chaired the USENIX LISA18 conference.

Performance 52

Performance Latency Cache Virtualization 52

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle.

Hardware 97

Hardware Storage Big Data Blockchain 97

The Netflix TechBlog

FEBRUARY 13, 2020

Using the framework we have open sourced, AVIF compression efficiency can be seen at work and compared against a whole range of image codecs that came before it. The webp format was introduced by Google around 2010. There is a potential benefit in reusing the hardware in place for video compression/decompression.

Code 212

Code Metrics Efficiency Open Source 212