article thumbnail

Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

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
article thumbnail

How digital experience monitoring helps deliver business observability

Dynatrace

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is Google Cloud Functions?

Dynatrace

Cloud Functions are ideal for creating backends, making integrations, completing processing tasks, and performing analysis. Functions integrate with APIs (such as the Video Intelligence API ) to make this possible, forming a processing chain that eventually commits data to cloud storage. Using GCF within a video analysis workflow.

Google 226
article thumbnail

The Need for Real-Time Device Tracking

ScaleOut Software

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. The following diagram illustrates a typical workflow.

IoT 78
article thumbnail

Serverless Reference Architectures with AWS Lambda

All Things Distributed

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. IoT Backend Serverless Reference Architecture. The architecture can be created with an AWS CloudFormation template.

Lambda 109
article thumbnail

Unlocking the Value of Device Data with AWS Greengrass.

All Things Distributed

Some applications – medical equipment, industrial machinery, and building automation are just a few – can't rely exclusively on the cloud for control, and require some form of local storage and execution. Local aggregation and filtering of data allows customers to send only high-value data to the cloud for storage and analysis.

AWS 120
article thumbnail

Serverless Reference Architecture with AWS Lambda

All Things Distributed

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. IoT Backend Serverless Reference Architecture. The architecture can be created with an AWS CloudFormation template.

Lambda 105