Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Percona

DECEMBER 27, 2023

AI and MLOps Kubernetes has become a new web server for many production AI workloads, focusing on facilitating the development and deployment of AI applications, including model training. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 79

Cloud Open Source Strategy Best Practices 79

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data.

Efficiency 147

Efficiency Storage Database Scalability 147

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

Sutter's Mill

NOVEMBER 11, 2023

This week’s meeting: Meeting #2 of C++26 At the previous meeting in June, the committee adopted the first 40 proposed changes for C++26, including many that had been ready for a couple of meetings and were just waiting for the C++26 train to open to be adopted. For those highlights, see the previous trip report. This is that library.

C++ 107

C++ Lambda Network Programming 107

The Morning Paper

MAY 14, 2019

Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. A DNN model is trained to recognise patterns in space and time that lead to QoS violations. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

O'Reilly

JANUARY 16, 2024

I’m personally interested in this topic since I am a professor who researches human-computer interaction, user experience design, and cognitive science , so AI voice interfaces are fascinating to me. I’ve recently been brainstorming ideas for how to design such a system and how to deal with the practical challenges of scaling and maintenance.

Entertainment 73

Entertainment Internet Internet Design 73

CSS Wizardry

APRIL 2, 2018

As I currently do listen to almost exclusively digitally streamed music, it was important to design a solution that was appropriate. When I’m on a flight (as I am right now) or a train, this extra bulk doesn’t bother me too much—I get settled in anyway, so I don’t mind the extra room it takes. Requirements. Technics OTTAVA in-situ.

Website 108

Website Media Hardware Monitoring 108

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

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

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

Percona

OCTOBER 18, 2023

Compatibility Open source databases are designed with interoperability at their core, adhering to industry standards and offering support for a wide range of data import and export formats. Does anyone on my team require further training before we start? Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 91

Open Source Database Hardware Strategy 91

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 uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

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

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207

Java C++ Benchmarking Programming 207

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. Nitro is a revolutionary combination of purpose-built hardware and software designed to provide performance and security. So why bother innovating?

Cloud 187

Cloud Hardware Infrastructure Innovation 187

The Morning Paper

FEBRUARY 27, 2020

memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. Ambient faults due to e.g. hardware faults, network timeouts, and gray failures are occurring all the time, and many of these are unrelated to deployments.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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. In addition to the disaster recovery site, this design includes an external layer of nodes.

Availability 107

Availability Database Open Source Hardware 107

The Morning Paper

JUNE 11, 2019

The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x FlexFlow is also given a device topology graph describing all the available hardware devices and their interconnections.

Network 81

Network Strategy Hardware Benchmarking 81

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites.

Open Source 279

Open Source Network Infrastructure Big Data 279

Testsigma

MAY 3, 2021

Web developers are moving their focus from desktop-first to mobile-first web design which further solidifies our understanding of how important this pocket device has become. From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. Training and Selecting Right Tool Stack.

Mobile 77

Mobile Testing Operating System Hardware 77

The Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. Most of these encoding tools are designed to interact with the POSIX filesystem API. It runs a wide variety of workloads from various parts of the company?—?everything

Media 286

Media Metrics Systems Processing 286

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. Designing the loop needs to be part of the automation plan.

Games 116

Games Healthcare Processing Retail 116

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. is access to hardware devices. This allows customisation and use of specialised features without custom, proprietary software for niche hardware.

Media 145

Media Games Education Engineering 145

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

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 52

The Morning Paper

SEPTEMBER 26, 2019

no longer hold: Security was never considered by design as historically the ability to transmit and receive wireless signals required considerable resources and knowledge. …pilots are trained and instructed to trust the instruments more than their intuition. If the instruments ask them to fly right, the pilots will fly right.

Wireless 91

Wireless Systems Airlines Hardware 91

O'Reilly

JULY 20, 2021

But we, as technologists, have typically ignored our own expectations when designing and building those devices. If the devices aren’t designed with those expectations in mind, they’re destined for the landfill. When designing an experience, you need to consider the identity context and where the experience will take place.

Google 121

Google Games Technology Technology 121

The Netflix TechBlog

FEBRUARY 13, 2020

There is a potential benefit in reusing the hardware in place for video compression/decompression. Image decoding in hardware may not be a primary motivator, given the peculiarities of OS dependent UI composition, and architectural implications of moving uncompressed image pixels around.

Code 212

Code Metrics Efficiency Open Source 212

Alex Russell

JUNE 20, 2020

In each quantum of time, hardware and OS vendors press ahead, adding features. As OS and hardware deployed base integrate these components, the set of what most computers can do is expanded. This is often determined by hardware integration and device replacement rates.

Hardware 55

Hardware Games Java Media 55

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. Engineering is the discipline of designing solutions under specific constraints. Those folks may not find the next couple of years to their liking.

Performance 90

Performance Network Mobile Speed 90

Smashing Magazine

AUGUST 22, 2021

While this is conceptually possible (QUIC does exactly that), things were initially not designed like this, because we need to be able to use TCP with and without TLS on top. Luckily, QUIC was designed with TLS in mind from the start, and as such does combine both the transport and cryptographic handshakes in a single mechanism.

Performance 106

Performance Network Latency Servers 106

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

Smashing Magazine

OCTOBER 11, 2022

All industries have a part to play, and that includes web design and development. On design systems, UX, web performance and CSS/JS. Tom Greenwood’s book, Sustainable Web Design is packed with advice for building low-carbon websites. Hardware And E-Waste. More after jump! Jump to online workshops ?. Get Organized.

Strategy 124

Strategy Development Energy Website 124

High Scalability

NOVEMBER 25, 2019

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. 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.

Architecture 52

Architecture Cache Azure Storage 52