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

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?

Performance 52

Performance Latency Cache Virtualization 52

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). This is where service workers can make a difference.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). This is where service workers can make a difference.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). This is where service workers can make a difference.

Energy 40

Energy Cache Traffic Website 40

Percona

JUNE 4, 2023

MariaDB is a popular SQL open source relational database management system that originated as a fork of MySQL after MySQL was acquired by Sun Microsystems in 2008 and later Oracle in 2010. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets. What is MariaDB?

Open Source 52

Open Source Servers Storage Scalability 52