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%

Virtualization 111

Virtualization AWS Hardware Storage 111

O'Reilly

SEPTEMBER 19, 2023

.” That came to mind when a friend raised a point about emerging technology’s fractal nature. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Cloud computing?

Hardware 99

Hardware Storage Big Data Blockchain 99

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%

Virtualization 40

Virtualization AWS Hardware Storage 40

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

Tim Kadlec

JANUARY 9, 2019

Advocates of any technique or technology can be a bit heavy-handed when it suits them if they’re not being careful–myself included. Hardware gets better, sure. Ballooning bandwidth and storage have fostered complacency that we can do without. It’s a fair question, I suppose. It seems blazingly fast compared to the 0.42

Performance 111

Performance Energy Internet Internet 111

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.

Availability 145

Availability Performance Scalability AWS 145

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively. Hardware Past As Performance Prologue. low-end Androids have finally caught up to the iPhone 5 from 2012.

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

JANUARY 18, 2012

By Werner Vogels on 18 January 2012 07:00 AM. s Dynamo technology , which was one of the first non-relational databases developed at Amazon. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform.

Scalability 167

Scalability Database Ecommerce Latency 167

Alex Russell

JULY 14, 2021

Understanding how mobile OSes undermine browser choice requires a nuanced understanding of OS and browser technology. The power dynamics of these situations are starkly different, even though "web technology" is used to render content in each case. Hardware access APIs, notably: Geolocation. How bad is the situation?

Google 121

Google Mobile Engineering Internet 121