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. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

Adrian Cockcroft

FEBRUARY 13, 2023

There was some new sustainability information that was quietly added to Amazon’s Sustainability in the Cloud page in October 2022 that is significant. I’m working with Aerin on a Sustainability in the Cloud Maven class in the UK at the moment, and we’re looking for attendees. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

ScaleOut Software

JULY 14, 2021

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52

IoT Azure Analytics Serverless 52

Apica

NOVEMBER 15, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Users should also be able to access code directly for advanced scripting, not only via the GUI. Cloud, on-premises, or hybrid –Users should be able to use the same test platform and scripts from the cloud, on-premises, or via a hybrid model.

Performance Testing 40

Performance Testing Testing Performance Games 40

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing. Dynatrace news.

Azure 137

Azure Serverless IoT Lambda 137

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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 a cloud-native BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Big data challenges. Enter Amazon QuickSight.

Cloud 137

Cloud Big Data AWS Analytics 137

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. Advanced Cloud Observability. User Experience and Business Analytics ery user journey and maximize business KPIs.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. Advanced Cloud Observability. User Experience and Business Analytics ery user journey and maximize business KPIs.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

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. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

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. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

DECEMBER 10, 2019

Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics.

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 63

Programming IoT Java Analytics 63

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

JULY 14, 2015

However, in the past, you had to write code to manage the data changes and deal with keeping the search engine and data warehousing engines in sync. An AWS Lambda function is a simpler option that you can use, as it only requires you to code the logic, set it, and forget it. Lambda and DynamoDB take care of the rest.

Database 167

Database Lambda AWS IoT 167

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

All Things Distributed

JUNE 21, 2018

Developers rely on the functionality of the relational database (not the application code) to enforce the schema and preserve the referential integrity of the data within the database. Developers can persist data using the same document model format that they use in their application code. Take Expedia, for example.

Database 167

Database AWS Games Latency 167

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. 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

Testsigma

FEBRUARY 12, 2021

IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. There is a huge expansion and the need for a good IoT research plan. . In 2019, we had previously projected the demand for IoT research at $781.96billion.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92