Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 106

Availability Database Open Source Hardware 106

The Netflix TechBlog

APRIL 29, 2019

We use and contribute to many open-source Python packages, some of which are mentioned below. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. If any of this interests you, check out the jobs site or find us at PyCon.

Open Source 279

Open Source Network Infrastructure Big Data 279

Brendan Gregg

MAY 1, 2022

It's an exciting time to be joining: The geeks are back with Pat Gelsinger and Greg Lavender as the CEO and CTO; new products are launching including the Sapphire Rapids processor; there are more competitors, which will drive innovation and move the whole industry forward more quickly; and Intel are building new fabs on US soil.

Wireless 52

Wireless Hardware Open Source Cloud 52

ACM Sigarch

APRIL 8, 2019

Communities in other fields have made a substantial effort towards “democratization,” where tools are not just made open source, but also accessible to everyone. For example, the existence and support of open-source frameworks such as LLVM or Tensorflow/Pytorch are an attractive element to many newcomers. uarch@gmail.com.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application).

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

High Scalability

OCTOBER 24, 2022

There is no structural separation as there is with a train service. Each cloud-native evolution is about using the hardware more efficiently. We would still be building higher and higher on top of VMs because that's where platform innovation would have stopped evolving. So why bother innovating?

Cloud 187

Cloud Hardware Infrastructure Innovation 187

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 159

Scalability Hardware AWS Tuning 159