Percona

SEPTEMBER 22, 2023

If you ran IBM hardware, then you ran IBM software, and that handy calendaring program that ran on Data General or Digital hardware/software was unavailable to you. You either get to pay for the privilege of having less freedom or find yourself sequestered with rapidly aging software.

Open Source 109

Open Source Software Software Hardware 109

Dynatrace

APRIL 21, 2023

The obvious costs of tool sprawl can quickly add up, including licensing, support, maintenance, training, hardware, and often additional headcount. Additionally, the constant and rapid pace of technology innovation causes many “best-of-breed” solutions to become outdated quickly while organizations are still paying for them.

Government 164

Government Infrastructure Innovation Monitoring 164

Testlodge

MARCH 12, 2024

End-to-end tests can often include hardware. If this is the case, request hardware units as early as possible to avoid any delays in testing due to supply issues. It has an abundance of training tutorials and documentation. Cypress – Cypress is also an open-source tool for end-to-end testing of web applications.

Systems 90

Systems Testing Open Source Hardware 90

O'Reilly

SEPTEMBER 15, 2021

Most respondents participated in training of some form. Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors. Company-provided training opportunities were most strongly associated with pay increases. Demographics.

Azure 145

Azure Social Media Programming AWS 145

Dynatrace

FEBRUARY 23, 2022

IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. With MLOps, data needs to be trained to understand normal behavior and what is anomalous. Unlike MLOps, AIOps doesn’t require training of data. Increased adoption of Infrastructure as code (IaC).

Serverless 271

Serverless Infrastructure Innovation DevOps 271

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 97

Hardware Storage Big Data Blockchain 97

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. If all of this seems overwhelming or difficult to understand, our world-class MySQL Training is here to help. I hope this helps!

Performance 123

Performance Hardware Tuning Storage 123

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

ACM Sigarch

APRIL 26, 2018

GPU: Graphics Processing Unit (GPU) , which achieves high data parallelism with its SIMD architecture, has played a great role in the current AI market, from training to inference. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. FPU: Floating Processing Unit (FPU). The new GV100 packs 7.4

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Adrian Cockcroft

JANUARY 17, 2022

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. The other continuing trend is to custom silicon, with specialized accelerators and the ARM based Graviton range from AWS, Apple’s M1 series, Tesla’s in car processor and training engines etc.

Serverless 98

Serverless Hardware AWS Architecture 98

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. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 169

Cloud Traffic Best Practices Strategy 169

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. In large recommendation models, failure tolerance is important to continue training upon failures but checkpointing may cause performance degradation. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

OCTOBER 26, 2020

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. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project. Raspberry Pi Model 3 B.

Innovation 157

Innovation Metrics Hardware Games 157

Randon ASCII

JANUARY 12, 2022

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. Standard stuff.

Cache 126

Cache Latency Benchmarking Hardware 126

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

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 77

Cloud Open Source Strategy Best Practices 77

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. Some of the things that were hard but will become easy are personalized art, music and stories (generated, not just selected like Spotify or Pandora).

Social Media 98

Social Media Innovation Open Source Entertainment 98

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

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

Brendan Gregg

MAY 1, 2022

My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware. I now have an opportunity at Intel to grow further in my career, and to help grow other people.

Wireless 52

Wireless Hardware Open Source Cloud 52

Scalegrid

JANUARY 5, 2024

Enhancing End-User Productivity A Database Management System (DBMS) significantly aids end-users in making well-informed and timely decisions by transforming existing data into valuable information using a range of tools.

Efficiency 147

Efficiency Storage Database Scalability 147

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 105

Availability Database Open Source Hardware 105

Testsigma

MAY 3, 2021

From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. Training and Selecting Right Tool Stack. What if no one in our team is trained to operate on the tool? That’s an extra cost of training and delayed project deadlines right there! .

Mobile 77

Mobile Testing Operating System Hardware 77

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

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

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 89

Open Source Database Hardware Strategy 89

High Scalability

JULY 26, 2018

Ops: "Sorry, 3-5 month lead time on DC hardware and our switches are near capacity" - coming soon to an on-prem "serverless" project near you. Peter : DARPA foresee a third one in which context-based programs are able to explain and justify their own reasoning.

Internet 124

Internet Internet Scalability Serverless 124

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 99

Efficiency Cloud Healthcare Open Source 99

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

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

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

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. The network devices that underlie a large portion of the CDN are mostly managed by Python applications. We also use Python to detect sensitive data using Lanius.

Open Source 279

Open Source Network Infrastructure Big Data 279

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

Tasktop

MAY 28, 2020

And first to invent the “Top Gun” Air Combat Training System back in the early ‘70s. . Jim has been instrumental in helping the company to double down on software innovation as a product mindset across complex value streams that straddle both software and hardware. Accelerating with a Software/Hardware Hybrid.

Speed 52

Speed Metrics Transportation Hardware 52

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.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Sutter's Mill

FEBRUARY 13, 2017

” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.”

Latency 51

Latency C++ Hardware Performance 51