ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. They combine an event handling function with state information about each device. Also, the use of digital twins provides automatic correlation of incoming events for each device, thereby simplifying applications.

IoT 45

IoT Ecommerce Analytics Latency 45

The Netflix TechBlog

AUGUST 30, 2021

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. The RAE is configured to be effectively a router that devices under test (DUTs) are connected to.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Customizing and connecting these services requires code. Many events can trigger a lambda function. What is AWS Lambda?

Lambda 184

Lambda AWS Serverless Hardware 184

Alex Podelko

OCTOBER 3, 2017

It is only such vendor-neutral, 4-day, 5-track conference devoted completely to performance, capacity, scalability, and adjacent topics. The conference includes 80+ presentations on performance, capacity, cloud, IoT, security (and more) from best experts in these areas and several great panels. More information here. Full program.

IoT 113

IoT Performance Programming Performance Testing 113

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. They combine an event handling function with state information about each device. Also, the use of digital twins provides automatic correlation of incoming events for each device, thereby simplifying applications.

IoT 40

IoT Ecommerce Analytics Latency 40

Dynatrace

AUGUST 28, 2020

Distributed traces – Displays activity for a transaction or request as it flows through applications and show how services connect, including code-level details. Logs – Structured or unstructured text that record discreet events that occurred at a specific time. Making observability actionable and scalable for IT teams.

IoT 162

IoT Infrastructure Monitoring Innovation 162

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. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

JUNE 10, 2016

In addition to the source code for the Lambda functions, this repository also contains a prototype iOS application that provides examples for how to use the AWS Mobile SDK for iOS to interface with the backend resources defined in the architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

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

MAY 10, 2016

In addition to the source code for the Lambda functions, this repository also contains a prototype iOS application that provides examples for how to use the AWS Mobile SDK for iOS to interface with the backend resources defined in the architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

All Things Distributed

APRIL 9, 2015

Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput.

Lambda 122

Lambda Cloud IoT AWS 122

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

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 40

Programming IoT Java Analytics 40

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. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Enprowess

SEPTEMBER 7, 2021

uses an event-driven and non-blocking I/O model, so it is practical and lightweight. IoT-based applications. has a unit testing framework called Jasmine, which allows unit testing of code during development. Scalability: Applications developed with Node.js It makes code very easy to understand and launch.

Open Source 52

Open Source Virtualization Programming Servers 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. 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

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. 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

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. 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

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

Apica

NOVEMBER 15, 2019

To keep up with the testing demand there are a number of feature requirements needed in order to be called a modern performance testing platform: Mega-scale load testing — load testing should scale up to millions of users within seconds to emulate the speed and scale of virtually any high-profile event worldwide.

Performance Testing 40

Performance Testing Testing Performance Games 40

Apica

OCTOBER 29, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. DevOps Users should also be able to access code and or YAML style directly for advanced scripting, including full API support for all functions.

Performance Testing 40

Performance Testing Testing Performance Software 40