ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45

IoT Ecommerce Analytics Latency 45

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. Real-time file processing, for quickly indexing files, processing logs, and validating content. What is AWS Lambda?

Lambda 173

Lambda AWS Serverless Hardware 173

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

ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 40

IoT Ecommerce Analytics Latency 40

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. Message are delivered to the grid using messaging hubs, such as Azure IoT Hub, AWS IoT Core, Kafka, a built-in REST service, or directly using APIs.

IoT 52

IoT Azure Analytics Healthcare 52

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. Making observability actionable and scalable for IT teams. Observability becomes ‘always-on’ and scalable so constrained teams can do more with less.

IoT 158

IoT Infrastructure Monitoring Innovation 158

VoltDB

FEBRUARY 20, 2024

Processing continues while the node is being upgraded – akin to making upgrades on an engine while it’s running. If your client code needs to respond within a certain SLA, usage of synchronous APIs makes it almost impossible to guarantee a timely response, as the control flow of the code is waiting for a response which may never come.

Engineering 52

Engineering IoT Latency Availability 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

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213

Latency Traffic Transportation Cloud 213

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. Easy Deployment: PWAs can be deployed easily using a single code base that runs on accelerated mobile pages and web browsers. Internet of Things (IoT). How does IoT work?

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 63

Programming IoT Java Analytics 63

All Things Distributed

JUNE 10, 2016

The notes are stored in Amazon DynamoDB, and are processed asynchronously using DynamoDB streams and a Lambda function to add them to an Amazon CloudSearch domain. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

The notes are stored in Amazon DynamoDB, and are processed asynchronously using DynamoDB streams and a Lambda function to add them to an Amazon CloudSearch domain. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Testsigma

APRIL 4, 2022

Automation is defined by Wikipedia as a wide range of technologies that reduce human involvement in processes. Mocking Component Behavior Useful in IoT & Embedded Software Testing Can also reduce (or eliminate) actual hardware/component need Test Reporting Generating summary report/email. Linking screenshots/logs to the reports.

Testing 95

Testing Open Source IoT Programming 95

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. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

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. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT 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

Official Blog - World Web Technology

MAY 12, 2023

WordPress has always been the first choice making developers to build highly scalable, robust, and secure web applications. With the help of Headless WordPress, it is possible for developers to combine WordPress and ReactJS to build highly scalable, feature-rich, and dynamic website that serve your business purposes.

Website 52

Website Development Scalability Architecture 52

Tech News Gather

SEPTEMBER 7, 2022

The technology is open-source therefore any developer can go to the react-native.dev platform and get the code from the vast pool of developers’ community for a simpler and better user experience. Scalability. Starting from processing a higher amount of work in-app, to launching higher-functionality updates.

Development 52

Development Mobile Java C++ 52

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 40

Programming IoT Java Analytics 40

Enprowess

SEPTEMBER 7, 2021

IoT-based applications. has a unit testing framework called Jasmine, which allows unit testing of code during development. Scalability: Applications developed with Node.js Developers are able to create scalable and fast apps suitable for all platforms due to its “learn once write anywhere” principle. Developing API.

Open Source 52

Open Source Virtualization Programming Servers 52

VoltDB

FEBRUARY 29, 2024

Picture this: you place an order (processing delay), wait in line behind other customers (queuing delay), your coffee gets prepared (transmission delay), and then the barista hands it over to you (propagation delay). LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop.

Latency 52

Latency Games Traffic Network 52

Dynatrace

JUNE 13, 2019

Dynatrace has been building automated application instrumentation—without the need to modify source code—for over 15 years already. Driving the implementation of higher-level APIs—also called “typed spans”—to simplify the implementation of semantically strong tracing code. What Dynatrace will contribute.

IoT 44

IoT C++ Analytics Java 44

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

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 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. Any modified code can then be retested to make sure the problem was addressed.

Performance Testing 40

Performance Testing Testing Performance Games 40

Abhishek Tiwari

NOVEMBER 3, 2018

Unfortunately, to make it worse most of the CMS deals are managed by marketing and digital functions of the organisation, and in my own experience, these functions are often not equipped to ask hard and right questions during the CMS selection process. Due to strong templating support, a website managed by SSG can be truly modular.

Systems 63

Systems Cache Website Network 63

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

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. 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., However, the process of deriving actionable insights out of this wide variety of data sources is not easy. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 137

Cloud Big Data AWS Analytics 137