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. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. Note that my predictions in this talk may be wrong, but they should be thought-provoking. Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 52

All Things Distributed

MARCH 11, 2015

Adoption is now really starting to explode in 2015 as more and more businesses understand the power analytics has to empower their organizations. In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

Servers 46

Servers Hardware Architecture Retail 46

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. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Microbenchmark os::javaTimeMillis() on both systems. Running this on the two systems saw similar results.

Speed 40

Speed Java AWS Virtualization 40

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Microbenchmark os::javaTimeMillis() on both systems. Running this on the two systems saw similar results.

Speed 52

Speed Java AWS Virtualization 52

Randon ASCII

FEBRUARY 25, 2018

In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Jumping too quickly to blaming hardware or build tools is a classic mistake, but in this case the mistake was that we weren’t thinking big enough. Russian translation is here.

Programming 79

Programming Hardware Cache Code 79

Brendan Gregg

AUGUST 8, 2017

Linux load averages are "system load averages" that show the running thread (task) demand on the system as an average number of running plus waiting threads. This measures demand, which can be greater than what the system is currently processing. then your system is idle. - cat /proc/loadavg. 42/3411 43603. 42/3411 43603.

Latency 111

Latency Metrics C++ Systems 111

Alex Russell

MARCH 6, 2021

Devices and networks have evolved too: Alex Russell @slightlylate An update on mobile CPUs and the Performance Inequality Gap: Mid-tier Android devices (~$300) now get the single-core performance of a 2014 iPhone and the multi-core perf of a 2015 iPhone. Hardware Past As Performance Prologue. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124

Randon ASCII

AUGUST 16, 2018

As usual I had UIforETW running in the background, tracing to circular buffers, so I just had to type Ctrl+Win+R and the buffers, representing the last thirty seconds or so of system activity, were saved to disk. I loaded it into Windows Performance Analyzer (WPA), but I couldn’t definitively find the hang. Source code. Rabbit holes.

Programming 75

Programming Virtualization Code Processing 75

The Netflix TechBlog

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. It runs a wide variety of workloads from various parts of the company?—?everything

Media 286

Media Metrics Systems Processing 286

Alex Russell

JANUARY 30, 2024

JavaScript-Heavy # Since at least 2015, building JavaScript-first websites has been a predictably terrible idea, yet most of the sites I trace on a daily basis remain mired in script. [1] was a system properly localised? Equally advertised?), and mandated legal gaps in coverage.

Performance 90

Performance Network Mobile Speed 90

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). In real-life world, most products aren’t even close: an median bundle size today is around 417KB , which is up 42% compared to early 2015. But this consideration needs to be deliberate.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). In real-life world, most products aren’t even close: an average bundle size today is around 400KB , which is up 35% compared to late 2015. We could also go beyond the bundle size budget though.

Performance 104

Performance Cache Metrics Network 104

All Things Distributed

APRIL 4, 2017

In 2014 and 2015 respectively, AWS opened offices in Stockholm and Espoo, Finland. After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. In making the switch to AWS, WOW air has saved between $30,000 and $45,000 on hardware, and software licensing.

AWS 116

AWS Airlines Latency Games 116

Smashing Magazine

JANUARY 11, 2021

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). compared to early 2015. It’s still important to prioritize critical resources as early as possible, but 14 KB might not be that relevant with BBR in place.) ( thanks, Victor, Barry! ).

Performance 145

Performance Cache Media Metrics 145