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

Adrian Cockcroft

FEBRUARY 13, 2023

SUS209 — there was no talk with this code. SUS304 to SUS311 No talks with these codes. It includes a demo of AWS Twinmaker and a discussion of lithium battery production and recycling by Northvolt in Sweden, who are using serverless on AWS to build factories-as-code. STP213 Scaling global carbon footprint management.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

DECEMBER 18, 2020

This also, unfortunately, alerts our product developers instead of me if the app causes an error on the dashboard. Agentless RUM allows you to monitor your front-end apps by simply pasting a JavaScript tag into your code. In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices.

Analytics 135

Analytics Metrics IoT Monitoring 135

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. Any modified code can then be retested to make sure the problem was addressed.

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. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. The architects and developers who create the software must design it to be observed.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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

All Things Distributed

DECEMBER 13, 2016

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. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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

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

All Things Distributed

JULY 14, 2015

Many happy developers are using DynamoDB to handle trillions of requests every day. 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. Cross-region replication allows us to distribute data across the world for redundancy and speed. ”

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

The answer for me is simple: Developers want their applications to be well architected and scale effectively. The days of the one-size-fits-all monolithic database are behind us, and developers are now building highly distributed applications using a multitude of purpose-built databases. The opposite is true.

Database 167

Database AWS Games Latency 167

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., Amazon Redshift, DynamoDB, Amazon EMR) whereas insights need to be derived by not just developers but also non-technical business users.

Cloud 137

Cloud Big Data AWS Analytics 137

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

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Application monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. At the end of 2018, voice (input) will have already significantly changed the way we develop devices and apps.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

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. Unfortunately, due to the lack of a good developer experience (DX) total cost of ownership of a traditional CMS and implementation failure rate remains all-time high.

Systems 63

Systems Cache Website Network 63

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. IoT Test Automation. Better and quicker services are urgently needed today.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92