Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 52

Performance Latency Cache Virtualization 52

All Things Distributed

AUGUST 16, 2012

By Werner Vogels on 16 August 2012 10:00 AM. An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. All Things Distributed. Comments ().

AWS 118

AWS Hardware Traffic Best Practices 118

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

SQL Server According to Bob

JUNE 3, 2016

SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases. Ryan Stonecipher – Principle SQL Server Software Engineer. SQL Server. set nocount on.

Hardware 40

Hardware Cache Servers Software Engineering 40

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

APRIL 5, 2012

By Werner Vogels on 06 April 2012 06:00 AM. Troy: We moved our service from internal servers to AWS. We consulted directly with Amazon and learned that the storage and the DB Server size affected I/O throughput – after altering our size we dropped our load time to 1 hour which was within expectations relative to native database.

Innovation 146

Innovation AWS Education Network 146

All Things Distributed

JANUARY 18, 2012

By Werner Vogels on 18 January 2012 07:00 AM. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. Werner Vogels weblog on building scalable and robust distributed systems. Amazon DynamoDB â?? Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167