CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. Who: Engineers. When: During development. Who: Engineers, Product Owners, Marketing.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

The Morning Paper

FEBRUARY 18, 2020

Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. And there’s going to be a lot of them!

Government 95

Government Software Engineering Storage Database 95

Alex Podelko

SEPTEMBER 8, 2020

I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer.

Open Source 223

Open Source Performance Testing Testing Performance 223

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 109

Availability Database Open Source Hardware 109

ACM Sigarch

APRIL 8, 2019

This is arguably a fundamentally hard problem for computer architecture, but efforts towards open source hardware (eg. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training. RISCV ) and accessible, well-supported simulators (eg. gem5 ) are baby steps towards this goal.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

The Morning Paper

JUNE 27, 2019

The thrust of the argument is that there’s a chain of inter-linked assumptions / dependencies from the hardware all the way to the programming model, and any time you step outside of the mainstream it’s sufficiently hard to get acceptable performance that researchers are discouraged from doing so. GPU and TPU).

Systems 87

Systems Tuning Programming Innovation 87

All Things Distributed

MARCH 13, 2017

Previously, the top priorities for IT departments were equipping data centers with hardware, purchasing software, and further developing proprietary software. In most cases, you won't select a learning offer from a general training catalog, as in the pre-digital era. Development will have to be customized for each individual.

Social Media 84

Social Media Retail Automotive Innovation 84

O'Reilly

NOVEMBER 28, 2023

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). report that the difficulty of training a model is a problem.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

SEPTEMBER 19, 2023

A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware.

Hardware 99

Hardware Storage Big Data Blockchain 99

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. Was it trained using biased, unfair data? Is retraining needed?

Games 116

Games Healthcare Processing Retail 116

O'Reilly

JULY 20, 2021

Most recently, IBM used Flickr photos that were shared under a Creative Commons license to train facial recognition algorithms. One strategy is to simplify the software’s functionality and let the humans enforce norms. Until we acknowledge that hardware put in a home is different from a cloud service, we will never get it right.

Google 121

Google Games Technology Technology 121

The Agile Manager

JUNE 23, 2007

This might be a data centre where hardware uptime is guaranteed to process transactions, a timesheeting capability that is available on-demand, or development of a custom application to analyse asset backed securities. Traditionally, IT has been a risk assumer. Look for another Capital Markets paper in July 2007.

Technology 40

Technology Technology Energy Innovation 40

High Scalability

NOVEMBER 25, 2019

I mean that as your scale grows then design patterns and strategies that used to work 2 years ago and allowed you to go from defensive to offensive positioning may buckle under pressure or becomes cost-prohibitive. Once it's resolved our pipeline takes over and the ticket catches the next release train. What is your storage strategy?

Architecture 52

Architecture Cache Azure Storage 52