Remove Architecture Remove Processing Remove Software Performance Remove Storage
article thumbnail

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. OpenTelemetry reference architecture.

article thumbnail

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

A “real-time digital twin” is a software concept that can track the key parameters for an individual asset, such as a box of masks or a ventilator, and update these parameters in milliseconds as messages flow in from personnel in the field (or directly from smart devices). Which hospital in a given state has the most unused ventilators?”.

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

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

A “real-time digital twin” is a software concept that can track the key parameters for an individual asset, such as a box of masks or a ventilator, and update these parameters in milliseconds as messages flow in from personnel in the field (or directly from smart devices). Which hospital in a given state has the most unused ventilators?”.

article thumbnail

Observability platform vs. observability tools

Dynatrace

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Traces provide performance data about tasks that are performed by invoking a series of services. They are particularly important in distributed systems, such as microservices architectures.

article thumbnail

Accelerate Machine Learning with Amazon SageMaker

All Things Distributed

As there are few individuals with this expertise, an easier process presents a significant opportunity for companies who want to accelerate their ML usage. After the dataset is created, you must scale the processing to handle the data, which can often be a blocker. However, many developers find them difficult to build and deploy.

Tuning 94