Dynatrace

FEBRUARY 28, 2022

Performance planning. 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. Every year at Perform, we put DTU to the test with hands-on learning and certifications. Learning paths.

Virtualization 196

Virtualization Education Cloud Monitoring 196

Official Blog - World Web Technology

AUGUST 27, 2023

Similarly, using the best programming language for your website is also crucial. When it comes to programming languages, you will find many options, but PHP is the most viable option to choose. It is one of the most preferred programming languages used by developers across the globe for website development. What is PHP?

Development 98

Development Ecommerce Open Source Website 98

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Likewise it has very low requirements on the initial amount of training data.

Testing 163

Testing AWS Lambda Network 163

All Things Distributed

NOVEMBER 13, 2018

Currently we have 57 Availability Zones across 19 technology infrastructure Regions. Lamborghini, the world-famous manufacturer of elite, luxury sports cars based in Italy, has been using AWS to reduce the cost of their infrastructure by 50 percent, while also achieving better performance and scalability.

AWS 167

AWS Energy Automotive Traffic 167

Adrian Cockcroft

FEBRUARY 13, 2023

Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads. Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x

AWS 64

AWS Energy Architecture Programming 64

Strategic Tech

MARCH 16, 2021

There are a few qualities that differentiate average from high performing software engineering organisations. I love pair programming and mobbing because every small decision is debated and challenged. Provide Design Training & Coaching Training can accelerate the design learning process for any engineer or architect.

Software Engineering 80

Software Engineering Design Engineering Software 80

The Morning Paper

JUNE 6, 2019

Federated Learning (FL) is a distributed machine learning approach which enables training on a large corpus of decentralized data residing on devices like mobile phones. Here we’re actually training the model in a distributed fashion, using data collected on the devices, without the data ever leaving those devices. Federated Averaging.

Systems 71

Systems Design Google Servers 71

Testsigma

SEPTEMBER 16, 2021

Unit tests, functional tests, regression tests, performance tests, etc. During the automated mobile testing process below are the areas where time is spent considerably for setting up test automation: Acquire devices Set up devices, network, and infrastructure Install the required software, browsers, etc. Provides cost control.

Mobile 52

Mobile Cloud Testing Testing Tools 52

Tasktop

OCTOBER 23, 2020

We believe that diverse teams perform better and foster an environment of belonging and inclusion. There is also the Tasktop Academy, which provides us with professional training and allows us to learn from high-quality training videos and more. Unconscious bias training. Diversity calendar to celebrate many cultures.

Tuning 52

Tuning Engineering Programming Infrastructure 52

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 147

Artificial Intelligence Transportation Education Airlines 147

Testsigma

MAY 6, 2021

Here, we are dealing with the web-based programs accessed by multiple users at a time. We achieve this by performing web testing on mobile and desktop browser programs. . Accordingly, we can select the real devices/browsers where we can perform the automated web testing. billion active internet users worldwide – 59.5

Mobile 52

Mobile Testing Website Internet 52

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. Bernd Greifeneder, Dynatrace founder and CTO, acknowledged in his opening remarks at Dynatrace Perform 2024 that even his team suffers from tool sprawl. We can’t risk the stability or performance of the services.”

Cloud 207

Cloud Energy Innovation Infrastructure 207

Dynatrace

APRIL 14, 2020

Well, that’s exactly what the Dynatrace University team did to support Dynatrace’s hands-on training (HoT) days at Dynatrace’s annual user conference Perform in Las Vegas. The Dynatrace dashboard below that shows the thousands of EC2 instances coming up and then being removed at the close of the training. Quite impressive!

AWS 164

AWS Lambda Performance Infrastructure 164

Testsigma

SEPTEMBER 15, 2020

The test cases are coded by writing scripts in any programming language like Java, Python, Ruby etc. The upfront time required in writing the scripts for test cases, creation of the framework, training the team and maintenance is reduced considerably. What is codeless test automation ? Time Efficiency. Better ROI. Try Testsigma today.

Testing 59

Testing Testing Tools Code DevOps 59

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 108

Open Source Artificial Intelligence Google Infrastructure 108

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43

Dynatrace

DECEMBER 10, 2020

I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. What do you see as the biggest challenge for performance and reliability? Dynatrace news.

Strategy 175

Strategy Performance Logistics Monitoring 175

Dynatrace

APRIL 21, 2023

The Office of the CTO wanted to ensure a positive citizen experience by identifying the 200+ critical applications available within their 21 executive agencies and offering application performance monitoring (APM) as a service to those agencies. Zbojniewicz wanted to drive APM and simultaneously decommission the legacy toolset successfully.

Government 159

Government Infrastructure Innovation Monitoring 159

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

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. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. On the one hand we have the long tradition of data-centric programming; on the other hand, we face the needs of modern, large-scale business applications.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

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

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. Teams integrate automated scripts into the chat or messaging tool in the form of chatbots, which can perform a wide range of tasks, such as provisioning resources, deploying code, and monitoring systems.

Google 197

Google DevOps Efficiency Monitoring 197

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 90

Performance Network Mobile Speed 90

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. The growth of Azure cloud computing. Making the best use of Azure Functions.

Azure 136

Azure Serverless IoT Lambda 136

The Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. Titus is a multi-tenant system, allowing multiple teams and users to run workloads on the system, and ensuring they can all co-exist while still providing guarantees about security and performance.

Media 286

Media Metrics Systems Processing 286

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 249

Architecture Best Practices Engineering Open Source 249

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 233

Open Source Code Website Design 233

All Things Distributed

NOVEMBER 29, 2017

Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. The challenges begin with collecting, cleaning, and formatting training data.

Tuning 94

Tuning AWS Scalability Infrastructure 94

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Because of this flexibility, businesses may choose the infrastructure that best meets their needs. It’s important to note that this overview is not intended to be an exhaustive guide to every facet of Kubernetes.

Efficiency 108

Efficiency Cloud Healthcare Open Source 108

Percona

OCTOBER 18, 2023

The findings from our 2023 Open Source Database Report highlight that a substantial 42% of all database instances are now licensed through community-supported open source models, and GitHub reports that over 30% of Fortune 100 companies have established open source program offices (OSPO) to coordinate and manage their open source initiatives.

Open Source 97

Open Source Database Hardware Strategy 97

The Morning Paper

JULY 7, 2019

Respondents were well spread across data and applied science (42%), software engineering (32%), program management (17%), research (7%) and other (1%). Models have a provenance tag explaining which data it has been trained on and which version of the model was used. A general process.

Software Engineering 92

Software Engineering Engineering Software Software 92

ScaleOut Software

JANUARY 28, 2021

For vaccination centers, real-time digital twins can track location, the supply of vaccines, current demand (number of recipients), availability of trained personnel to perform injections, and other parameters. It offers managers a powerful and flexible means for helping ensure fast, efficient vaccine distribution and delivery.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! The Performance Argument. As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. Steve & Tim's Close-up Magic.

Media 145

Media Games Education Engineering 145

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 107

Open Source Code Website Design 107

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 100

Open Source Code Website Design 100