All Things Distributed

NOVEMBER 22, 2016

Machine learning is playing an increasingly important role in many areas of our businesses and our lives and is being employed in a range of computing tasks where programming explicit algorithms is infeasible. The efficiency by which a deep learning framework scales out across multiple cores is one of its defining features.

AWS 165

AWS Open Source Scalability Programming 165

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Partner Program update – new Ignite tier. Partner Competency Program. Partner Pro Club.

Programming 181

Programming Cloud Virtualization Technology 181

Dynatrace

FEBRUARY 1, 2024

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. That looks like modernizing data centers from the ground up with sustainability and efficiency in mind and identifying underutilized infrastructure. Generative AI and LLMs are compounding these figures.

Cloud 223

Cloud Energy Innovation Infrastructure 223

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

Efficiency 89

Efficiency Scalability Innovation Programming 89

Tasktop

OCTOBER 12, 2020

If your customers don’t know what’s slowing them down, or why their Agile and DevOps transformations are hitting a wall, then the Flow Partner Program is for you. Now, with the revitalized Flow Partner Program , our partners can access the very latest solutions and training to enjoy the same success. . Key Program Highlights.

Programming 98

Programming DevOps Healthcare Strategy 98

Dynatrace

JUNE 8, 2021

At Dynatrace, our Autonomous Cloud Enablement (ACE) team are the coaches or teach and train our customers to always get the best out of Dynatrace and reach their objectives. Our expert Jean Louis Lormeau suggested a training program to help you become the champion in problem resolution. We can now move to the training phase.

Metrics 176

Metrics Tuning Programming Systems 176

Dynatrace

MARCH 13, 2024

Corporate accountability: It is the organizational board of directors and executives’ responsibility to actively oversee, formally endorse, and actively participate in comprehensive training programs concerning the organization’s cybersecurity risk management posture, with emphasis on effectively addressing and mitigating emerging cyber threats.

Best Practices 240

Best Practices Education Strategy Analytics 240

Dynatrace

OCTOBER 31, 2023

In attempting to address this difficult workforce challenge, chief information security officers (CISOs) are considering automation and artificial intelligence (AI) defense tools as a cost-effective, highly efficient option. senior cybersecurity advisor for Policy and Programs at the U.S. Hamilton, Ph.D.,

Artificial Intelligence 197

Artificial Intelligence Energy Government Technology 197

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. AI that is based on machine learning needs to be trained.

Artificial Intelligence 202

Artificial Intelligence Tuning Strategy Big Data 202

High Scalability

DECEMBER 16, 2022

This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency. I'm sorry, but as a large language model trained by OpenAI, I don't have the ability to browse the internet or keep up-to-date with current events.

Cloud 201

Cloud Serverless Internet Internet 201

The Netflix TechBlog

MAY 28, 2021

When I was growing up, I developed a strong interest in the space program. I would eventually enroll in the combined BS/MS program, committing to aerospace long-term and to participating in undergraduate and graduate research. I went to space camp (nerd alert!), loved space movies (still do!), loved all things astronomy (still do!),

Healthcare 211

Healthcare Entertainment Analytics Programming 211

Dynatrace

NOVEMBER 24, 2022

When the world experiences tougher times, we see organizations turn to technology to gain efficiencies, to transform through digitization and automation. To learn more about our Services Endorsement Program, check out the webpage. And to put that more simply, it’s all about doing more with less,” Michael said.

Innovation 167

Innovation Virtualization Programming Cloud 167

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. In essence, it establishes permissions within a Kubernetes cluster.

Efficiency 109

Efficiency Cloud Healthcare Open Source 109

The Netflix TechBlog

APRIL 29, 2019

Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

FEBRUARY 28, 2022

The most successful organizations manage a skilled team that knows how to accelerate throughput and drive efficiency across their SDLC. One of our customers, a large insurance company with over 700 Dynatrace users, leverages Dynatrace University as part of its ongoing employee education and performance acceleration program.

Virtualization 213

Virtualization Education Cloud Monitoring 213

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Likewise it has very low requirements on the initial amount of training data.

Testing 164

Testing AWS Lambda Network 164

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. million annually through retiring legacy technology debt and tool rationalization.

Government 170

Government Infrastructure Innovation Monitoring 170

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. As this trend takes hold, software delivery, security, and operations processes will be triggered through application programming interfaces that automate those tasks, based on real-time insights from observability data.

Technology 216

Technology Technology Artificial Intelligence Analytics 216

The Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. We do this for reliability, scalability, and efficiency reasons.

Media 297

Media Metrics Systems Processing 297

Dynatrace

JUNE 5, 2023

As a result, ChatOps has gained widespread popularity as more companies look for ways to improve collaboration, efficiency, and automation. A ChatBot is an automated computer program that simulates human interaction. You can also run commands directly from the chat interface, improving the efficiency of your workflow.

Google 214

Google DevOps Efficiency Monitoring 214

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow. But sometimes, it is not efficient. A large number of batch workflows run daily to serve various business needs.

Java 214

Java Scalability Traffic Architecture 214

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. At re:Invent 2016 , AWS announced Greengrass (in limited preview), a new service designed to extend the AWS programming model to small, simple, field-based devices. Fraud.net is a good example of this.

AWS 157

AWS Cloud Artificial Intelligence IoT 157

The Netflix TechBlog

OCTOBER 23, 2019

Machine learning researchers often work in multiple programming languages?—?for for example, researchers might use Scala and Spark to generate training data (cleaning, subsampling, etc), while actual training might be done with popular Python ML libraries like tensorflow or scikit-learn.

Open Source 235

Open Source Code Website Availability 235

O'Reilly

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. This approach is not novel. Two important trends collide in these lists.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible! Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

DECEMBER 11, 2020

This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. We partnered with Netflix’s Developer Experience (DevEx) team to build out documentation, training materials, and tutorials for developers.

Architecture 257

Architecture Best Practices Engineering Open Source 257

Dynatrace

MARCH 10, 2021

It needs to collect a substantial amount of data at the beginning to build a training dataset that an algorithm can begin to learn from. Visit the AWS website to learn more about the AWS Competency Program. Users then have the option of reinforcing learning through rating and similar means.

AWS 148

AWS Cloud Artificial Intelligence Innovation 148

O'Reilly

MARCH 23, 2023

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. They’ve all had additional specialized training; and they all have a reasonably well-designed user interface.

Google 107

Google Open Source Programming Code 107

O'Reilly

JUNE 11, 2024

At O’Reilly, we’re not just building training materials about AI. It would have been very difficult to develop the expertise to build and train a model, and much more effective to work with a company that already has that expertise. With a model like GPT, adding content would require a lengthy and expensive training process.

Design 106

Design Open Source Database Programming 106

O'Reilly

MAY 25, 2021

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. OpenAI’s text generating system GPT-3 has captured mainstream attention.

Social Media 140

Social Media Media Internet Internet 140

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Open Source 111

Open Source Google Artificial Intelligence Infrastructure 111

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. For example programming interfaces that developers can use to analyze images, change text into true-to-life language or create chatbots.

Artificial Intelligence 116

Artificial Intelligence Transportation Education Airlines 116

Dynatrace

APRIL 5, 2021

Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples.

Azure 139

Azure Serverless IoT Lambda 139

O'Reilly

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

Open Source 102

Open Source Entertainment Healthcare Database 102

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. Challenges optimising whole programs.

Systems 87

Systems Programming Tuning Innovation 87

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.

C++ 129

C++ Lambda Network Programming 129

All Things Distributed

FEBRUARY 18, 2015

One of our guiding principles at AWS is to listen closely to our customers and the feedback that I am getting about our training and certification program is very positive. Many architects and engineers know the Cloud is the future of development and IT and the are gearing up to be as succesful as possible in this new normal.

DevOps 75

DevOps AWS Engineering Innovation 75