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., Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 40

IoT Ecommerce Analytics Latency 40

Dynatrace

JULY 6, 2020

Use the technology overview and filter for Azure to access all newly added databases across all subscriptions. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Database-service views provide all the metrics you need to set up high-performance database services.

Azure 151

Azure Cloud Big Data Virtualization 151

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. Creating and managing a complicated codebase might negate the benefits of serverless technologies, but AWS Lambda eliminates this concern.

Lambda 186

Lambda AWS Serverless Hardware 186

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. All these terms refer to related technology and practices. APM has rapidly expanded to encompass a broad range of technologies and use cases. Why businesses need APM. What does APM do?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Tech News Gather

JULY 19, 2023

Smart home automation is the process of automating your house by using Internet of Things (IoT) devices to manage your lights, appliances, HVAC, entertainment, security cameras, and alarms, and other sensors for things like water or gas leaks. Connect the architectural pieces of your program using secure gateways.

Wireless 52

Wireless IoT Development Internet 52

Official Blog - World Web Technology

MAY 12, 2023

When developers use the front-end and back-end together, it is called coupled CMS architecture. In simple terms, Headless CMS is all about using two different technologies for front-end and back-end. Here, you are using WordPress as a backend technology and another technology such as React to build the front-end of the website.

Website 52

Website Development Scalability Architecture 52

Smashing Magazine

JULY 6, 2021

Microservices architecture. When it comes to a Traditional CMS, the CMS and the resulting front-end website are built on a monolithic architecture. For example, if the CMS is built on Microsoft’s.NET Framework, the front-end website would also be built on the same technology. Things To Consider When Choosing A Headless CMS.

Cache 143

Cache Website Mobile Google 143

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. This much is openly acknowledged by the authors.

Blockchain 94

Blockchain Internet Internet IoT 94

All Things Distributed

SEPTEMBER 8, 2015

Bring your questions about AWS architecture, cost optimisation, services and features, or anything else AWS related. Self-paced Hands-on Labs : beginners through advanced users can attend the labs which will help sharpen AWS technical skills at a personal pace and are available for free in the Loft during operating hours.

AWS 107

AWS IoT Innovation Architecture 107

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. At launch, an item’s change record is available in the stream for 24 hours after it is created.

Database 167

Database Lambda AWS IoT 167

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

All Things Distributed

JUNE 26, 2016

Today, I’m happy to announce that the Asia Pacific (Mumbai) Region is generally available for use by customers worldwide. Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices.

AWS 90

AWS Cloud Healthcare Blockchain 90

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

O'Reilly

DECEMBER 2, 2019

For the past year, 5G cell technology has generated a lot of excitement–and a lot of hype. If carriers won’t build cell towers for current technology, they aren’t likely to build even more towers for 5G. So what about industrial IoT (IIoT), and sensors that can be built into a sticker and slapped on to machinery?

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

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

ScaleOut Software

MAY 19, 2020

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. The ScaleOut Digital Twin Streaming Service is available now. Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. The ScaleOut Digital Twin Streaming Service is available now. Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model.

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 63

Programming IoT Java Analytics 63

ScaleOut Software

DECEMBER 10, 2019

The problem with this approach is that important insights requiring quick action are not immediately available. Second, they make contextual data immediately available to the application. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

The problem with this approach is that important insights requiring quick action are not immediately available. Second, they make contextual data immediately available to the application. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

The problem with this approach is that important insights requiring quick action are not immediately available. Second, they make contextual data immediately available to the application. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52

Code Analytics Healthcare IoT 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

AUGUST 20, 2020

Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes. In contrast, real-time digital twins analyze incoming telemetry from each data source and track changes in its state.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes. In contrast, real-time digital twins analyze incoming telemetry from each data source and track changes in its state.

Cloud 52

Cloud Development Analytics Azure 52

Testsigma

FEBRUARY 12, 2021

Just a manual testing approach would not suffice for today’s wired devices and dynamic architectural applications of Industry 4.0. Many technologies must be handled and supported on many platforms, computers, and browsers in the emerging digital environment test framework. The method is diligent in identifying flaws.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

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.

Systems 63

Systems Cache Website Network 63

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40