Percona

OCTOBER 20, 2023

Heck, typing “database migration plan” into Google and reading this blog could constitute planning. Communication and training: Keep all stakeholders informed about the progress and changes throughout the migration process. Some level of planning is expected when migrating to open source.

Open Source 85

Open Source Database Best Practices Strategy 85

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. Salaries by Gender.

Azure 145

Azure Social Media Programming AWS 145

Dynatrace

SEPTEMBER 5, 2023

They need solutions such as cloud observability — the ability to measure a system’s current state based on the data it generates—to help them tame cloud complexity and better manage their applications, infrastructure, and data within their IT landscapes. Cloud modernization. Cloud platforms continue to deliver massive value.

Cloud 216

Cloud Artificial Intelligence Innovation Azure 216

Dynatrace

JUNE 5, 2023

If you’re in IT, you know how important it is to keep an eye on your systems and infrastructure in real-time. In the past, ITOps teams communicated by phone, email, and other tools, interacting manually with ticketing systems for technical support and incident management.

Google 194

Google DevOps Efficiency Monitoring 194

O'Reilly

JUNE 27, 2023

Does your company plan to release an AI chatbot, similar to OpenAI’s ChatGPT or Google’s Bard? That model creates the response images or text by interpreting the prompt and then replaying (a probabilistic variation of) the patterns it uncovered in its training data. That doesn’t sound so bad, right? What Can You Do?

Social Media 92

Social Media Media Website Database 92

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. The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance. TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

O'Reilly

APRIL 30, 2024

By carefully interrogating the system of economic incentives underlying innovations and how technologies are monetised in practice, we can generate a better understanding of the risks, both economic and technological, nurtured by a market’s structure. But how much greater are the risks for the next generation of AI systems?

Social Media 91

Social Media Artificial Intelligence Innovation Logistics 91

O'Reilly

JANUARY 6, 2020

The programming world will increasingly be split between highly trained professionals and people who don’t have a deep background but have a lot of experience building things. Like reading, some people learn how to code with little training, and others don’t. We need to rethink the role of the programmer. Mike Loukides.

Programming 98

Programming Artificial Intelligence Education Games 98

O'Reilly

MAY 25, 2021

OpenAI’s text generating system GPT-3 has captured mainstream attention. GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. Note that the dataset on which GPT-3 trained terminated around October 2019.

Social Media 140

Social Media Media Internet Internet 140

CSS - Tricks

SEPTEMBER 3, 2019

Craig Mod, in "Fast Software, the Best Software" , totally bailed on Google Maps: Google Maps has gotten so slow, that I did the unthinkable: I reinstalled Apple Maps on my iPhone. The data still isn’t as good as Google Maps, but this a good example of where slowness pushed me to reinstall an app I had all but written off.

Software 44

Software Software Google Speed 44

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. Although the benefits of serverless computing are clear, gaining visibility into multicloud environments at scale is challenging.

AWS 223

AWS Lambda Artificial Intelligence Serverless 223

Tech News Gather

NOVEMBER 15, 2022

It’s common, and Apple’s version is much easier to use than Google’s Tango. In addition, the system uses the user’s gaze to optimize the visual quality and resolution precisely where it matters most: where the user is looking (exactly how the human eye does).

Development 52

Development Virtualization Government Media 52

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

Tuning 52

Tuning Benchmarking Engineering C++ 52

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. We’ve seen the reaction to news that Amazon’s Echo and Google Home send recordings of conversations back to the server. I have 30 or 40 GB of photos.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

O'Reilly

MARCH 23, 2023

It can pretend to be an operating system. which has received some specialized training. with specialized training. Sydney is based on GPT-4, 1 with additional training. Kosmos-1 Developed by Microsoft, and trained on image content in addition to text. PaLM Also developed by Google. It’s much more.

Google 107

Google Open Source Programming Code 107

The Morning Paper

SEPTEMBER 8, 2019

Creating training datasets for machine learning ! The sampling operators turn out to be great for creating training and test datasets with desired properties. We believe that the user goal here is to construct representative training sets to ensure that the learnt models are not biased towards just the more frequent samples.

Big Data 57

Big Data Analytics Latency Azure 57

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 111

Open Source Artificial Intelligence Google Infrastructure 111

CSS Wizardry

JULY 23, 2023

Google’s Core Web Vitals initiative was launched in May of 2020 and, since then, its role in Search has morphed and evolved as roll-outs have been made and feedback has been received. However, to this day, messaging from Google can seem somewhat unclear and, in places, even contradictory. Don’t have time to read 5,500+ words?

Engineering 246

Engineering Google Speed Mobile 246

Strategic Tech

SEPTEMBER 29, 2018

Improving your hiring fortunes is not just about optimising your hiring process, it’s about making systemic changes to your organisation. You might think that you need to be Google, Netflix, or ThoughtWorks?—?to If you want to hire top people in less time and for lower costs you need to think more holistically. It 100% can work.

Software Engineering 40

Software Engineering Open Source Engineering Java 40

Dynatrace

JUNE 1, 2023

While gyms and fitness studios have since reopened, these apps are still extremely popular for squeezing in short home workouts, tracking fitness goals, and receiving personalized training recommendations. It represents the percentage of time a system or service is expected to be accessible and functioning correctly.

Latency 171

Latency Website Traffic Virtualization 171

Dynatrace

JUNE 1, 2023

While gyms and fitness studios have since reopened, these apps are still extremely popular for squeezing in short home workouts, tracking fitness goals, and receiving personalized training recommendations. It represents the percentage of time a system or service is expected to be accessible and functioning correctly.

Traffic 173

Traffic Latency Website Virtualization 173

Smashing Magazine

NOVEMBER 5, 2021

Is this something that is being done outside of your system that you’d like to integrate through features? What other tools or systems are users using to meet their needs? Canvas Chrome, Google Jamboard, Miro, and Mural, are four examples of many online collaboration spaces that exist to serve the needs of remote co-creation.

Design 100

Design Testing Education Processing 100

O'Reilly

JUNE 7, 2022

Not so many years ago, one problem with AI was that AI systems were only good at one thing. We don’t know how much power it took to train Gato, but GPT-3 required about 1.3 And granted, a lot can be done to optimize training (and DeepMind has done a lot of work on models that require less energy). Is that answer a million?

Artificial Intelligence 145

Artificial Intelligence Games Energy Open Source 145

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. They still will win for mission-critical or real-time systems, which need performance over these parameters. These include Python, PHP, Perl, and Ruby.

Java 214

Java C++ Benchmarking Programming 214

O'Reilly

JANUARY 17, 2023

Predictable: The scikit-learn classifiers share a similar interface, so you can invoke the same train() call on each one while passing in the same training dataset. Or that, just maybe, your training data is no good for the challenge at hand. Yes, this calls for a for() loop. Building a Better for() loop for ML. Damn convenient.

Tuning 133

Tuning Open Source AWS Software 133

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. Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle. A basic, production-ready cluster priced out to the low-six-figures.

Hardware 101

Hardware Storage Big Data Blockchain 101

Smashing Magazine

JULY 9, 2021

How much training do you have and will you need? Maintaining a written record of all accessibility training done to meet the requirements that apply to your organization is a great way to keep data on all the training done within the organization. Recording the training and who and when it was completed. More after jump!

Website 145

Website Mobile Design Testing 145

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. A large number of batch workflows run daily to serve various business needs.

Java 202

Java Scalability Traffic Architecture 202

Smashing Magazine

AUGUST 19, 2021

As seen in the discussions about privacy at Facebook and AI-powered imaging at Google among other examples, when there are no ethical considerations during the creation of technology then the interaction between humans is compromised. Even if your organization did have the time and resources to provide such training, then what?

Code 138

Code Design Education Government 138

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

JULY 25, 2023

Lastly, I tried not to search for help on Google, Stack Overflow, or other websites, which is what I would normally be doing while programming. For a few years now Google has been transitioning developers to v3 , which I didn’t know about since I had no prior experience with Chrome extensions. And ChatGPT didn’t warn me about this.

Programming 98

Programming Code Design Benchmarking 98

Dynatrace

DECEMBER 10, 2020

Company brands are now measured by the “app” and “app experience” and expect every application to be as fast as Google. During the recent pandemic, organizations that lack processes and systems to scale and adapt to remote workforces and increased online shopping are feeling the pressure even more.

Strategy 172

Strategy Performance Logistics Monitoring 172

High Scalability

SEPTEMBER 7, 2018

Pflop/s : fully synchronous tensorflow data-parallel training; 3.3 This makes it easy to reason about complex distributed system. However still far from Google ($28B) and Facebook ($13.2B). Since switching between goroutines doesn't require an actual kernel context switch (or even a system call), this isn't too surprising.

Internet 137

Internet Internet Scalability Lambda 137

O'Reilly

JANUARY 10, 2023

A quick Google search will show that anxiety about an end to AI funding has continued through the year. And while I haven’t mentioned Google and Facebook, they have demoed equivalents to most of these applications. We started the year with many people talking about an “AI winter.”

Blockchain 102

Blockchain Google Programming Media 102

O'Reilly

OCTOBER 11, 2022

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment.

Games 119

Games Healthcare Processing Retail 119

The Morning Paper

JUNE 4, 2019

describe for us the data validation pipeline deployed in production at Google, “ used by hundreds of product teams to continuously monitor and validate several petabytes of production data per day.” ” That’s trillions of training and serving examples per day, across more than 700 machine learning pipelines.

Google 92

Google Code Infrastructure Testing 92

O'Reilly

OCTOBER 19, 2021

The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch. There are countless systems that can perform this task for small DAGs on a single server.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140