Dynatrace

AUGUST 14, 2023

How behavior analytics works User behavior analytics works by first collecting, then analyzing user behavior data. Collect user behavior data Organizations typically use analytics software to collect a large volume of data on user behavior from relevant sources. An organization may collect this data the following ways.

Analytics 223

Analytics Social Media Website IoT 223

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications. Together they equal better software. Shift-right ensures reliability in production.

Cloud 180

Cloud DevOps Open Source Retail 180

O'Reilly

AUGUST 15, 2023

To follow up on our previous survey about low-code and no-code tools, we decided to run another short survey about tools specifically for software developers—including, but not limited to, GitHub Copilot and ChatGPT. Finally, we wanted to know specifically about the effect of GitHub Copilot, ChatGPT, and other AI-based programming tools.

Development 73

Development Programming Speed Open Source 73

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. Device interaction for the collection of health and other operational data is yet another Python application. Many of the components of the orchestration service are written in Python.

Open Source 279

Open Source Network Infrastructure Big Data 279

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis. The post The Need for Real-Time Device Tracking appeared first on ScaleOut Software.

IoT 78

IoT Analytics Big Data Architecture 78

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Such a combination requires new abstractions and programming models for effective management. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

MARCH 2, 2021

While working on my PhD in political science, I realized my curiosity was always more piqued by methodological coursework, which led me to take as many stats/data science courses as I could. Later I enrolled in a data science program focused on helping academics transition to industry roles.

Analytics 207

Analytics C++ Innovation Engineering 207

Alex Podelko

DECEMBER 19, 2019

Looking at the program I have the same problem as I always had with CMG conferences – how could I attend all the sessions I want considering that we have multiple tracks? How is DevOps changing the Modern Software Development Landscape? , Boris has unique expertise in that area – especially in Big Data applications.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

All Things Distributed

JANUARY 6, 2016

We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more. Many of these enterprises are assisted by our extensive partner ecosystem in Korea.

AWS 110

AWS Cloud Games Latency 110

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Not all computer science degree programs offer computer architecture classes to undergrads, and ones that do, may offer it as one of many electives. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 129

Cloud Energy AWS Healthcare 129

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

JANUARY 19, 2011

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. Driving down the cost of Big-Data analytics. Comments ().

AWS 115

AWS Cloud Java Operating System 115

ScaleOut Software

NOVEMBER 24, 2020

At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark. This new, object-oriented software technique provides a memory-based orchestration framework for tracking and analyzing telemetry from each data source.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

Brendan Gregg

APRIL 30, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more. Thanks to Liz Markel, USENIX Community Engagement Manager, for edits.

DevOps 43

DevOps Network Best Practices Programming 43

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

Brendan Gregg

APRIL 29, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more. Thanks to Liz Markel, USENIX Community Engagement Manager, for edits.

DevOps 40

DevOps Network Best Practices Programming 40

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. What is test data? The test data required by testing team to test an application can be of two types: 1.

Testing 60

Testing Storage Database Processing 60

Rigor

SEPTEMBER 11, 2019

Rick is a software engineer on the Google Chrome team, “leading an effort to make the web just work for developers.” Patrick is a London-based software developer who specializes in web performance and who describes himself as enjoying “working the entire stack, back-end to front-end, CDN to server.” Rick Byers.

Performance 89

Performance Education Google Website 89

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Highly Scalable

MARCH 10, 2015

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns. Provost, T.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

NOVEMBER 15, 2010

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel.Â

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

MAY 18, 2010

Core to its success has been its simplicity: no matter how many objects you want to store, how small or big those objects are, or what object access patterns you have to deal with, you can rely on Amazon S3 to take away the headaches of dealing with the hard issues typically associated with big storage systems.

Storage 71

Storage Cloud AWS Scalability 71