Dynatrace

OCTOBER 26, 2020

This integration ensures that performance data from testing tools such as JMeter is in the same place as all other relevant performance and infrastructure data. First, they used a video camera and trained an AI model but then decided to use a less privacy-intrusive variant with an infrared sensor. Goal: sending metrics to Dynatrace.

Innovation 150

Innovation Metrics Hardware Games 150

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Percona

DECEMBER 27, 2023

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Because of this flexibility, businesses may choose the infrastructure that best meets their needs.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Adrian Cockcroft

JUNE 2, 2023

Some of the talks at GlueCon were about techniques for adding domain knowledge via re-training, prompting or plug-ins to maintain quality output. Rob Hirschfeld of RackN had this perspective on the impact of AI on his domain of infrastructure automation. Tristan Zajonc, CEO of Continual.ai

Social Media 98

Social Media Innovation Open Source Entertainment 98

The Morning Paper

FEBRUARY 18, 2020

The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI.

Government 95

Government Software Engineering Storage Database 95

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Does anyone on my team require further training before we start? Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 90

Open Source Database Hardware Strategy 90

Alex Podelko

SEPTEMBER 8, 2020

In this time, I learned a lot, but the price for this was to have to deal with random infrastructure issues and unhelpful support from HP. 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.

Open Source 223

Open Source Performance Testing Testing Performance 223

CSS Wizardry

OCTOBER 27, 2018

My involvement with clients here is usually workshops and training: teaching developers the knowledge and tooling required to effectively conduct performance audits, and making teams self-sufficient. Who: Engineers. When: During development. Do certain browsers or geographic locales suffer more than others?

Performance Testing 172

Performance Testing Testing Performance Strategy 172

The Morning Paper

MAY 14, 2019

A DNN model is trained to recognise patterns in space and time that lead to QoS violations. When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation. Seer in action.

Big Data 45

Big Data Cloud Performance Hardware 45

All Things Distributed

SEPTEMBER 4, 2017

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. But ultimately, there is something to be found for everyone who wants to define models, train them, and then scale.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier. of nonusers, 5.4%

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

Alex Russell

APRIL 29, 2021

Education, tools, and training all support the premise that supporting more browsers is better ( ceteris paribus ), creating a substantial incentive to grease squeaky wheels. The initial implementation was removed from Blink post-fork and re-implemented on new infrastructure several years later. is access to hardware devices.

Media 145

Media Games Education Engineering 145

High Scalability

OCTOBER 24, 2022

Cloud Infrastructure Services -- An analysis of potentially anti-competitive practices by Professor Frédéric Jenny. There is no structural separation as there is with a train service. What some consider infrastructure or platform is just another cloud service. A group advocating for fair licensing. It's a choice.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. I fear we will not be so lucky; an entire generation has been trained to ignore reality, to prize tribalism rather than engineering rigor, and to devalue fundamentals.

Performance 90

Performance Network Mobile Speed 90

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. Plus there was all of the infrastructure to push data into the cluster in the first place. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work.

Hardware 102

Hardware Storage Big Data Blockchain 102

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. These CVEs did not affect our infrastructure because we were using user namespaces for all of our containers. It runs a wide variety of workloads from various parts of the company?—?everything

Media 286

Media Metrics Systems Processing 286

All Things Distributed

DECEMBER 12, 2018

In April 2017, Amazon Web Services announced that it would launch a new AWS infrastructure region Region in Sweden. Today, we add to that presence with an infrastructure Region in Stockholm with three Availability Zones. They rely on the AWS Cloud for their entire infrastructure and use almost every AWS service available.

AWS 124

AWS Cloud Games Serverless 124

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. Software development capacity, IT infrastructure, and software as a service are all examples of risk assumption.

Technology 40

Technology Technology Energy Innovation 40

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. Once it's resolved our pipeline takes over and the ticket catches the next release train. The next release train is verified by automated REST API tests and some manual smoke tests. What Infrastructure Do You Use? How are software and hardware upgrades rolled out? Video Transcoding.

Architecture 52

Architecture Cache Azure Storage 52