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

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. Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives.

IoT 78

IoT Analytics Big Data Architecture 78

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. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. 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 180

Lambda AWS Serverless Hardware 180

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

Enprowess

SEPTEMBER 7, 2021

JavaScript is one of the most famous and loved programming languages nowadays. According to the latest Stackoverflow developer survey , JavaScript is a well-liked technology used by software developers. Software Developers got to use JavaScript CLI tools to create the back-end part of web applications or server-side.

Open Source 52

Open Source Virtualization Programming Servers 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 example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

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 example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. The key to creating straightforward stream-processing applications that can deal with these challenges lies in a software concept called the “real-time digital twin model.”

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. The key to creating straightforward stream-processing applications that can deal with these challenges lies in a software concept called the “real-time digital twin model.”

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. The post Developing Real-Time Digital Twins for Cloud Deployment appeared first on ScaleOut Software. Simplifying the Development Process with Mock Environments.

Cloud 52

Cloud Development 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

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Simplifying the Development Process with Mock Environments.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The answer to these challenges is a new software concept called the “ real-time digital twin.” 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.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The answer to these challenges is a new software concept called the “ real-time digital twin.” 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.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The answer to these challenges is a new software concept called the “ real-time digital twin.” 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.

Logistics 52

Logistics Retail Analytics Azure 52

The Morning Paper

APRIL 4, 2019

Many mobile and IoT apps nowadays contain sensitive data, or secrets, such as passwords, learned models, and health information. OSes are complex software and have a large attack surface… Increasingly abundant evidence suggests that prudent apps should not trust the OS with their secrets. apps on a mobile phone) gets loaded.

Operating System 43

Operating System Systems Wireless Transportation 43

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.

Code 52

Code Analytics Healthcare IoT 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. The post Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power appeared first on ScaleOut Software.

Scalability 40

Scalability Cache Airlines Healthcare 40

Enprowess

SEPTEMBER 1, 2021

Its ‘V’ in Model View Controller (MVC) architecture. Linting is a process in which we run a program that analyses code for possible errors. ReactJS is an open-source JavaScript library. It used to build the user interface and the view layer of the Web Applications. Facebook launched React and actively maintained it.

Best Practices 52

Best Practices Code Development Open Source 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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

Scalability 40

Scalability Cache Airlines Healthcare 40

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. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167