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. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

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. This is the AWS Professional Services built tooling that customers can use to track the carbon footprint of their operations and processes, along with a customer example.

AWS 64

AWS Energy Architecture Programming 64

All Things Distributed

NOVEMBER 13, 2018

ENEL is using AWS to transform its entire business, closing all of their data centers by 2018, migrating workloads from over 6,000 on-premises servers onto AWS in nine months, and using AWS IoT services to better manage and understand energy consumption. In 2013, we launched a dedicated program called AWS Activate.

AWS 167

AWS Energy Automotive Traffic 167

High Scalability

AUGUST 17, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. Do you like this sort of Stuff? Please lend me your support on Patreon. It would mean a great deal to me. They'll love you even more.

Internet 105

Internet Internet Scalability Games 105

O'Reilly

SEPTEMBER 23, 2019

Some examples may help. For example, consider what could become possible when an Internet of Things (IoT) device writes to the blockchain.; IoT devices can function as a digital nervous system, tracking conditions that goods experience on their journey from a supplier. Enterprise momentum builds for blockchain.

Blockchain 68

Blockchain IoT Logistics Internet 68

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

AUGUST 20, 2020

Examples include tracking a fleet of trucks, analyzing large numbers of banking transactions for potential fraud, managing logistics in the delivery of supplies after a disaster or during a pandemic, recommending products to ecommerce shoppers, and much more.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

Examples include tracking a fleet of trucks, analyzing large numbers of banking transactions for potential fraud, managing logistics in the delivery of supplies after a disaster or during a pandemic, recommending products to ecommerce shoppers, and much more.

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

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

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

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

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Security, databases, and programming languages effortlessly remain up to date and secure in the serverless model. Building APIs (for example, Amazon API Gateway ).

Serverless 244

Serverless Efficiency Lambda Azure 244

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

Dynatrace

AUGUST 14, 2023

Using application programming interfaces (APIs) to instrument a wider range of digital touchpoints. These touchpoints can include traditional rich client applications, smart IoT applications, and even Alexa skills. For example, any action a user takes on the company’s website or app.

Analytics 229

Analytics Social Media Website IoT 229

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

Testsigma

JANUARY 7, 2022

2015 saw the trend of scriptless testing and IoT focussed methodologies. With AI technology, the tester can write the test cases in the English language that can be translated into programming language by the tool. IoT automation testing. IoT (Internet of things) devices have been on an increase for a long time now.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

MAY 17, 2019

Up to now, APM vendors and open source tools used their own defined HTTP headers (for example, x-dynatrace at Dynatrace) for distributed tracing. There were situations where end-to-end visibility would break, for example, when middleware (such as an API gateway) didn’t automatically forward the custom HTTP headers to a called service.

Azure 148

Azure Open Source Transportation IoT 148

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. 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. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

JULY 14, 2015

Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables. The Amazon Kinesis API model gives you a unified programming experience between your streaming apps written for Amazon Kinesis and DynamoDB Streams. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

APRIL 9, 2015

Developers really have flocked to using this serverless programming technology to build event driven services. A great example by Valentino in the AWSSummit today was the use of Lambda by Adroll to deliver real-time updates around the word to their DynamoDB instances. Amazon Lambda. More details on the AWS Blog.

Lambda 122

Lambda Cloud IoT AWS 122

Alex Russell

APRIL 29, 2021

Provides support for "unread counts", e.g. for email and chat programs. A tool for reliably sending data — for example, chat and email messages — in the face of intermittent network connections. Particularly important in industrial, IoT, health care, and education scenarios. PWA App Icon Badging. Media Session API.

Media 145

Media Games Education Engineering 145

ScaleOut Software

MAY 19, 2020

For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Instead, it needs to be combined with knowledge of each person’s age, health, medications, and activity to determine when an alert should be generated. This enables immediate, focused insights that enhance situational awareness.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Instead, it needs to be combined with knowledge of each person’s age, health, medications, and activity to determine when an alert should be generated. This enables immediate, focused insights that enhance situational awareness.

Logistics 52

Logistics IoT Analytics Azure 52

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. The workplace of the future. At the same time there are many grounds for optimism.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

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

ScaleOut Software

DECEMBER 10, 2019

For example, consider a large power grid with tens or hundreds of thousands of nodes, such as power poles, controllers, and other critical elements. In the above power grid example, the application requires only of a few lines of code to embed a set of rules for interpreting state changes from a node in the power grid.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For example, consider a large power grid with tens or hundreds of thousands of nodes, such as power poles, controllers, and other critical elements. In the above power grid example, the application requires only of a few lines of code to embed a set of rules for interpreting state changes from a node in the power grid.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For example, consider a large power grid with tens or hundreds of thousands of nodes, such as power poles, controllers, and other critical elements. In the above power grid example, the code needed only consists of a few lines of Java code which embed a set of rules for interpreting state changes from a node in the power grid.

Code 52

Code Analytics Healthcare IoT 52

Enprowess

SEPTEMBER 1, 2021

For example, the App component contains two lists of Products and countries. For example, UserInfo, ExpenseItem, etc. Method names should be not application specific but for their purpose in the application – for example, submitForm, updateData, etc. Each component is usually compact approx. Do not Use indexes for keys.

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. This model works well for storing large, object-oriented collections of business-logic state, such as the examples listed above.

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. This model works well for storing large, object-oriented collections of business-logic state, such as the examples listed above.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

SEPTEMBER 30, 2022

Two common examples are the number of users affected by a problem or pages with the lowest Apdex scores. Business processes and events may be written to system logs or tracked and stored by an ERP solution, exposed via an application programming interface (API). How do business analytics tools work? Break down IT and business silos.

Analytics 174

Analytics Best Practices Metrics IoT 174