ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

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. The technology that can do this is called in-memory computing. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

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

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 more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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 more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

AUGUST 20, 2020

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. 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.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. 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.

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

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. Inefficiencies cost technology companies up to $100 billion per year. Dynatrace news.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Avoid lock-in with open-source technologies. What is Google Cloud Functions?

Google 226

Google Cloud Serverless Azure 226

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Voice Search Technology. Blockchain Technology. A Progressive web applications (PWA) are the latest trends in website development, built using standard web technologies like HTML and JavaScript. The technology has gained popularity for its possibility to propose a high-quality user experience.

Blockchain 59

Blockchain IoT Development Serverless 59

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. This is also true for Kubernetes and containers that can spin up and down in seconds.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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

Smashing Magazine

JULY 6, 2021

For example, if the CMS is built on Microsoft’s.NET Framework, the front-end website would also be built on the same technology. With a headless CMS, content is provided to different channels such as web, mobile, social, no-UI smart devices, IoT devices and even non-digital touchpoints such as a bricks-and-mortar shopfront.

Cache 143

Cache Website Mobile Google 143

Dynatrace

JUNE 1, 2021

All these terms refer to related technology and practices. APM has rapidly expanded to encompass a broad range of technologies and use cases. With the scale, diverse functionality, and dynamic nature of cloud platforms such as AWS, Azure, and GCP, APM solutions need to just work without configuration or model training.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Abhishek Tiwari

NOVEMBER 3, 2018

Traditional CMS is a dead end In the last 5 years, traditional CMS landscape is not evolved much - both CMS technologies as well market maturity remains unchanged. Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape. Decoupled CMS vs. headless CMS.

Systems 63

Systems Cache Website Network 63