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. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on. A New Approach: Real-Time Device Tracking.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. 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

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. 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

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

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. Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. 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.

Systems 63

Systems Cache Website Network 63

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. From Distributed Caches to Real-Time Digital Twins.

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. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 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

Smashing Magazine

JULY 6, 2021

This data would be collated and authored in a Web Content Management System (WCMS) by a content editor. For example, if the CMS is built on Microsoft’s.NET Framework, the front-end website would also be built on the same technology. The ability to integrate third-party systems via webhooks or APIs is a bonus you should watch out for.

Cache 143

Cache Website Mobile Google 143