Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. Making observability actionable and scalable for IT teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

All Things Distributed

NOVEMBER 13, 2018

Currently we have 57 Availability Zones across 19 technology infrastructure Regions. We needed to serve our growing base of startup, government, and enterprise customers across many vertical industries, including automotive, financial services, media and entertainment, high technology, education, and energy.

AWS 167

AWS Energy Automotive Traffic 167

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 40

IoT Ecommerce Analytics Latency 40

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The technology that can do this is called in-memory computing. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

Tech News Gather

JULY 6, 2023

Introduction: Finding the perfect software and app development company in Dallas to cater to your technological requirements can be a daunting and intricate process. Their dedicated team of professionals leverages the latest technologies to deliver tailor-made solutions for their clients.

Mobile 52

Mobile Development Innovation Healthcare 52

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. Message are delivered to the grid using messaging hubs, such as Azure IoT Hub, AWS IoT Core, Kafka, a built-in REST service, or directly using APIs.

IoT 52

IoT Azure Analytics Healthcare 52

Official Blog - World Web Technology

MAY 12, 2023

WordPress has always been the first choice making developers to build highly scalable, robust, and secure web applications. With the help of Headless WordPress, it is possible for developers to combine WordPress and ReactJS to build highly scalable, feature-rich, and dynamic website that serve your business purposes.

Website 52

Website Development Scalability Architecture 52

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. Lambda’s toolbox of automated processes helps developers streamline to build fast, robust, and scalable applications on accelerated timelines.

Lambda 178

Lambda AWS Serverless Hardware 178

All Things Distributed

JUNE 20, 2017

The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. The new AWS Asia Pacific (Hong Kong) Region will have three Availability Zones and be ready for customers for use in 2018.

AWS 146

AWS Logistics Cloud Social Media 146

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Tech News Gather

SEPTEMBER 7, 2022

While the use of Native app development hasn’t gone completely, a few still find it convenient to use the technology in app development, while others have completely shifted their focus towards the ample opportunities the cross-platform framework, React Native is offering. Scalability. What is Native App Development? UI/UX Experience.

Development 52

Development Mobile Java C++ 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Testsigma

APRIL 4, 2022

Automation is defined by Wikipedia as a wide range of technologies that reduce human involvement in processes. Mocking Component Behavior Useful in IoT & Embedded Software Testing Can also reduce (or eliminate) actual hardware/component need Test Reporting Generating summary report/email. = Test Execution.

Testing 95

Testing Open Source IoT Programming 95

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

Enprowess

SEPTEMBER 7, 2021

Quick summary : Node vs React Comparison is not correct because both technologies are entirely different things. We have started our introduction with the words “JavaScript-based” technologies. According to the latest Stackoverflow developer survey , JavaScript is a well-liked technology used by software developers. JavaScript.

Open Source 52

Open Source Virtualization Programming Servers 52

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

ScaleOut Software

JANUARY 9, 2020

It can receive telemetry from retail stores over the Internet using event delivery systems such as Azure IoT Event Hub, AWS, Kafka, and REST, and it can respond back to the retail stores in milliseconds. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It can receive telemetry from retail stores over the Internet using event delivery systems such as Azure IoT Event Hub, AWS, Kafka, and REST, and it can respond back to the retail stores in milliseconds. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It can receive telemetry from retail stores over the Internet using event delivery systems such as Azure IoT Event Hub, AWS, Kafka, and REST, and it can respond back to the retail stores in milliseconds. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

DECEMBER 10, 2019

Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations. ScaleOut Software’s recently announced cloud service provides a powerful, scalable platform for hosting real-time digital twins and performing aggregate analytics with an easy to use UI. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations. ScaleOut Software’s recently announced cloud service provides a powerful, scalable platform for hosting real-time digital twins and performing aggregate analytics with an easy to use UI. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations. ScaleOut Software’s recently announced cloud service provides a powerful, scalable platform for hosting real-time digital twins and performing aggregate analytics with an easy to use UI. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

Dynatrace

JUNE 13, 2019

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available.

IoT 45

IoT C++ Analytics Java 45

Apica

NOVEMBER 15, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Apica is that modern solution that will help you meet the speed, scalability and stability requirements to ensure your applications perform as expected. But how do you switch performance monitoring platforms to best serve your current investment?

Performance Testing 40

Performance Testing Testing Performance Games 40

Apica

OCTOBER 29, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Apica is that modern solution that will help you meet the speed, scalability and stability requirements to ensure your applications perform as expected. Apica is a modern platform that supports more devices while supporting legacy solutions.

Performance Testing 40

Performance Testing Testing Performance Software 40

All Things Distributed

DECEMBER 13, 2016

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. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

JULY 14, 2015

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

APRIL 9, 2015

At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

APRIL 4, 2017

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. The new AWS EU (Stockholm) Region will have three Availability Zones and will be ready for customers to use in 2018.

AWS 116

AWS Airlines Latency Games 116

All Things Distributed

OCTOBER 7, 2015

QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions. QuickSight is built on large number of innovative technologies to get a business user their first insights fast. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

Abhishek Tiwari

NOVEMBER 3, 2018

Traditional CMS is a dead end In the last 5 years, traditional CMS landscape is not evolved much - both CMS technologies as well market maturity remains unchanged. Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape. Decoupled CMS vs. headless CMS.

Systems 63

Systems Cache Website Network 63