Demo Google Open Source Speed 
Brendan Gregg
JULY 4, 2021
## References I've reproduced the talk references below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency? Ford, et al., “TCP
Brendan Gregg
FEBRUARY 28, 2023
## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
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Brendan Gregg
JULY 4, 2021
## References I've reproduced the talk references below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency? Ford, et al., “TCP
Brendan Gregg
FEBRUARY 28, 2023
References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
Testsigma
JANUARY 29, 2021
Popular search engines like Google give preference to websites that are mobile-ready[4]. Speed and Accuracy. Rather than following a manual approach for HTML and CSS code validation, it is recommended to use open-source tools like W3C mobileOK Checker. Book a demo. Mobile-first indexing.
Tim Kadlec
OCTOBER 8, 2015
The AMP Project is an open source initiative to improve performance and distribution on the mobile web. To further help achieve the goal of “instant load”, Google is offering to provide caching for these AMP pages through their CDN. There’s a demo of what the search implementation could potentially look like.
O'Reilly
NOVEMBER 28, 2023
16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). But 18% already have applications in production. Or is there still room for growth?
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