Brendan Gregg

NOVEMBER 29, 2017

Paravirtualization**: The hypervisor provides efficient hypercalls, and the guest OS uses drivers and kernel modifications to call these hypercalls. It's amazing to recall that it was even possible to virtualize x86 before processors had hardware-assisted virtualization (Intel VT-x and AMD-V), which were added in 2005 and 2006.

Virtualization 111

Virtualization AWS Hardware Storage 111

All Things Distributed

MARCH 11, 2016

The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. The importance of the network.

AWS 144

AWS Hardware Retail Virtualization 144

Adrian Cockcroft

APRIL 5, 2023

I published a paper and presentation in 2006 that discusses the complexities of measuring CPU utilization. In the absence of measured data, a model based on a table of default values measured on datacenter systems could be used, taking into account CPU types, power usage efficiency (PUE), and over-all utilization levels.

Energy 52

Energy Metrics Cloud Operating System 52

Brendan Gregg

NOVEMBER 28, 2017

Paravirtualization**: The hypervisor provides efficient hypercalls, and the guest OS uses drivers and kernel modifications to call these hypercalls. It's amazing to recall that it was even possible to virtualize x86 before processors had hardware-assisted virtualization (Intel VT-x and AMD-V), which were added in 2005 and 2006.

Virtualization 40

Virtualization AWS Hardware Storage 40

SQL Server According to Bob

JANUARY 11, 2020

© ​​ 2006 ​​ Microsoft Corporation. url=/library/en-us/fileio/fs/sparse_files.asp ) ​​ on the ​​ Microsoft Developer Network ​​ (MSDN). Remove the ​​ power cord ​​ that supplies ​​ power to storage devices.

Servers 40

Servers Cache Database Media 40

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. 2006-01-01 ?

Database 40

Database Analytics Blockchain Healthcare 40