Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52

SQL Performance

JUNE 21, 2019

Prior to SQL Server 2012, the maximum server memory value only applied to the bufferpool, so customers needed to limit the amount of memory the bufferpool could use to save memory for the operating system and other processes. If you have big physical hardware with defaults, then you should look at optimizing MAXDOP.

Servers 49

Servers Azure Hardware Database 49

All Things Distributed

JANUARY 18, 2012

By Werner Vogels on 18 January 2012 07:00 AM. This is not just predictability of median performance and latency, but also at the end of the distribution (the 99.9th percentile), so we could provide acceptable performance for virtually every customer. Werner Vogels weblog on building scalable and robust distributed systems. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167