Alex Russell

DECEMBER 15, 2020

Two years ago, as I announced that I wouldn't be standing for a fourth term on the W3C's Technical Architecture Group , I wrote that : Having achieved much of what I hoped when running for the TAG six years ago, it's time for fresh perspectives. At the time, I argued that there was no better replacement I could hope for than Alice Boxhall.

IoT 40

IoT Education Programming Innovation 40

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. From Distributed Caches to Real-Time Digital Twins. They can also employ real-time digital twins or similar techniques to track each shopper’s behavior and make recommendations.

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. From Distributed Caches to Real-Time Digital Twins. They can also employ real-time digital twins or similar techniques to track each shopper’s behavior and make recommendations.

Ecommerce 52

Ecommerce Cache Scalability IoT 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

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

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

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. It’s smart enough to only do this when the register actually contains sensitive data, versus being used for regular data at other points in the program. apps on a mobile phone) gets loaded.

Operating System 43

Operating System Systems Wireless Transportation 43

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

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Connecting IoT devices (for example, AWS IoT Device Management ).

Serverless 244

Serverless Efficiency Lambda Azure 244

ScaleOut Software

JANUARY 9, 2020

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

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

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

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 137

Azure Serverless IoT Lambda 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 63

Programming IoT Java Analytics 63

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

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Microsoft has already introduced Trace Context support in some of their services, including.NET Azure Functions, API Management, and IoT Hub. Dynatrace news.

Azure 149

Azure Open Source Transportation IoT 149

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

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

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

ScaleOut Software

MAY 19, 2020

It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

Enprowess

SEPTEMBER 7, 2021

JavaScript is one of the most famous and loved programming languages nowadays. It is growing day by day and has kept its position for eight years in a row and belongs to the top ten most loved programming languages. IoT-based applications. Follows asynchronous programming as a substitute of linear blocking I/O programming.

Open Source 52

Open Source Virtualization Programming Servers 52

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

DECEMBER 10, 2019

Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations. It does this with a surprisingly small amount of code, as illustrated below: This is one of many possible applications for real-time digital twins.

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. It does this with a surprisingly small amount of code, as illustrated below: This is one of many possible applications for real-time digital twins.

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. It does this with a surprisingly small amount of code, as illustrated below: This is one of many possible applications for real-time digital twins.

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. 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

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