ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. The post Developing Real-Time Digital Twins for Cloud Deployment appeared first on ScaleOut Software. Simplifying the Development Process with Mock Environments.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Simplifying the Development Process with Mock Environments.

Cloud 52

Cloud Development Analytics Azure 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. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

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. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. It’s important to note that moving applications to the public cloud doesn’t necessarily eliminate data lock-in.

Open Source 74

Open Source Database Storage Scalability 74

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. Widely used to track ecommerce shopping carts, financial transactions, airline flights and much more, in-memory computing can quickly store, retrieve, and analyze large volumes of live data. Its two core competencies are speed and scalability.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

All Things Distributed

JANUARY 18, 2012

DynamoDB is the result of 15 years of learning in the areas of large scale non-relational databases and cloud services. With Amazon DynamoDB, developers scaling cloud-based applications can start small with just the capacity they need and then increase the request capacity of a given table as their app grows in popularity.

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

NOVEMBER 15, 2016

QuickSight is a very fast, cloud-powered, business intelligence service for the 1/10th the cost of old-guard BI solutions. Along with data generated in the cloud, customers also have legacy data sitting in on-premises datacenters, scattered on user desktops, or stored in SAS applications. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152

Enprowess

JANUARY 12, 2022

Serverless Architecture. Consistent with the Statista report, 9% of eCommerce firms invested in progressive web apps (PWA) in 2021. Serverless Architecture. Serverless architecture is the fastest-growing cloud computing paradigm nowadays. Single Page Applications (SPAs). Progressive web applications (PWA).

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

AUGUST 18, 2018

medical patients, ecommerce shoppers), distributed, in-memory data grids (IMDGs) with integrated in-memory computing (such as ScaleOut StreamServer ) provide a natural platform for hosting these objects and executing their event-handling functions. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45

IoT Ecommerce Analytics Latency 45

ScaleOut Software

AUGUST 18, 2018

medical patients, ecommerce shoppers), distributed, in-memory data grids (IMDGs) with integrated in-memory computing (such as ScaleOut StreamServer ) provide a natural platform for hosting these objects and executing their event-handling functions. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 40

IoT Ecommerce Analytics Latency 40

ScaleOut Software

JULY 14, 2021

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. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

O'Reilly

APRIL 23, 2024

Google and Amazon were still atop their respective hills of web search and ecommerce in 2010, and Meta’s growth was still accelerating, but it was hard to miss that internet growth had begun to slow. Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model.

Social Media 106

Social Media Google Internet Internet 106

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

Apica

MARCH 31, 2022

With an ever-growing catalog of applications in need of support, and IT architecture increasing in complexity, ensuring the ideal user experience is a tremendous challenge. Getting to a hybrid model, with the orchestration engine in the cloud and their agents on-premises is an advantage for Shafi M.

Monitoring 40

Monitoring Website Games Engineering 40

Smashing Magazine

APRIL 1, 2020

Self-host for free, or use the on-demand Cloud service to manage all your omnichannel digital experiences. From there, add features like Page Management, Ecommerce, Online Ticketing, and Search. An open-source tool that wraps custom SQL databases with a dynamic API and provides an intuitive admin app for managing its content.

Open Source 103

Open Source Website Mobile Code 103

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Optimizing with Core Web Vitals , a 50-min video with Addy Osmani, in which he highlights how to improve Core Web Vitals in an eCommerce case-study.

Performance 145

Performance Cache Media Metrics 145