Alex Podelko

SEPTEMBER 8, 2020

Most jobs I was offered were related to older technologies like Prolog/Cobol. It was called Jellly at the time (mid 2015) but it was an early build of what OctoPerf would become. And when we started in 2015, JMeter was undoubtedly the best tool around. How did you get into performance engineering?

Open Source 223

Open Source Performance Testing Testing Performance 223

Brendan Gregg

NOVEMBER 29, 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. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1% small (thanks @cperciva ). ## 3.

Virtualization 111

Virtualization AWS Hardware Storage 111

The Netflix TechBlog

DECEMBER 23, 2020

The building blocks of multi-tenancy are Linux namespaces , the very technology that makes LXC, Docker, and other kinds of containers possible. Unfortunately, these default namespace boundaries are not sufficient to prevent container escape, as seen in CVEs like CVE-2015–2925.

Media 286

Media Metrics Systems Processing 286

All Things Distributed

APRIL 4, 2017

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. In 2014 and 2015 respectively, AWS opened offices in Stockholm and Espoo, Finland.

AWS 117

AWS Airlines Latency Games 117

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. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1% small (thanks @cperciva ). ## 3.

Virtualization 40

Virtualization AWS Hardware Storage 40

SQL Server According to Bob

JUNE 3, 2016

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. Try SQL Server 2016 Today.

Hardware 40

Hardware Software Engineering Transportation Scalability 40

SQL Performance

JULY 16, 2019

If you have been paying attention to the technology press over the past 12-18 months, you may have noticed a rather large number of negative stories about Intel's processor business. 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

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

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] Having provisioned more than adequately in the 4G era, new technology isn't having the same impact from pent-up demand.

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.

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 103

Performance Cache Metrics Network 103

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