Dynatrace

APRIL 21, 2023

State and local agencies must spend taxpayer dollars efficiently while building a culture that supports innovation and productivity. APM helps ensure that citizens experience strong application reliability and performance efficiency. Many agencies are forced to hire contractors to manage all the tools, including upgrades.

Government 159

Government Infrastructure Innovation Monitoring 159

Dynatrace

OCTOBER 26, 2020

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. All your JMeter results in Dynatrace for better performance engineering. So stay tuned.

Innovation 152

Innovation Metrics Hardware Games 152

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

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

Percona

OCTOBER 18, 2023

Free of vendor lock-in Vendor lock-in refers to the loss of freedom to scale, innovate, or switch to alternatives due to dependencies on a specific database vendor. Are you looking to enhance performance, improve scalability, cut expenses, or gain access to specific features you don’t currently have?

Open Source 97

Open Source Database Hardware Strategy 97

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

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Scientists and engineers can contribute new innovations on three fronts, data, statistics, and visualizations. We are proud to say that our team’s tools are built primarily in Python.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Morning Paper

JUNE 27, 2019

In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. a research paper.

Systems 87

Systems Tuning Programming Innovation 87

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. How does high availability work? Redundancy is also critical for disaster recovery.

Availability 112

Availability Database Open Source Hardware 112

High Scalability

SEPTEMBER 14, 2018

Uniting multidisciplinary teams of researchers and educators from 17 universities, IRIS-HEP will receive $5 million a year for five years from the NSF with a focus on producing innovative software and training the next generation of users. It's a way of adding more memory when DRAM alone can't give you all the performance you want.

Internet 30

Internet Internet Scalability Education 30

The Agile Manager

JUNE 23, 2007

Thus leadership and its derivative characteristics - notably innovation and responsiveness - are the result of calculated, not wanton, risk taking. It provides guarantees for availability, performance and completeness for delivery of identified, regimented services or functionality. Traditionally, IT has been a risk assumer.

Technology 40

Technology Technology Energy Innovation 40

All Things Distributed

NOVEMBER 30, 2016

automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Smashing Magazine

OCTOBER 11, 2022

Making performance improvements to a client’s site could result in happier clients who send more business our way. Businesses that achieve BCorp status can benefit (according to the website) from “committed and motivated employees, increased customer loyalty, higher levels of innovation, and market leadership”. Hardware And E-Waste.

Strategy 123

Strategy Development Energy Website 123

High Scalability

NOVEMBER 25, 2019

For e.g., if accessing file system over WebDAV or FTP has performance issues, and it will take 4 hours to fix, then for those 4 hours, you can just kill FTP/WebDAV at kong/firewall and ask customers to use web UI or other mechanisms to work. Who performs what roles? Combination of unit, functional, integration and performance tests.

Architecture 52

Architecture Cache Azure Storage 52