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What is gPROMS?

Siemens' gPROMS technology revolutionizes digital process design and operations, enabling organizations in the process industry to effectively tackle complex design and operational decisions daily, which ultimately leads to sustainable value creation. By leveraging in-depth process expertise through advanced predictive models, gPROMS allows for a quick and thorough exploration of the decision-making landscape concerning processes and products. This technology captures vital insights about processes, facilitating the use of advanced mathematical techniques for detailed analysis and optimization, thereby enhancing design and operational efficiency. Not only does this approach foster innovation, but it also aids in crafting economically viable process designs while reducing technology-related risks. The gPROMS Process modeling environment integrates the entire journey from concept to operations in process design, employing state-of-the-art analysis and optimization features on high-fidelity models. As a result, it accelerates the design timeline, accurately evaluates and mitigates risks, and pinpoints the most effective process configurations that yield value throughout the plant's lifecycle. Moreover, this comprehensive strategy helps organizations maintain their competitive edge in a swiftly transforming market landscape, ensuring their long-term success. Ultimately, such capabilities position companies not only to adapt but also to thrive amidst continuous change.

What is Prometheus?

Elevate your monitoring and alerting strategies by utilizing a leading open-source tool known as Prometheus. This powerful platform organizes its data in the form of time series, which are essentially sequences of values linked to specific timestamps, metrics, and labeled dimensions. Beyond the stored time series, Prometheus can generate temporary derived time series based on the results of queries, enhancing versatility. Its querying capabilities are powered by PromQL (Prometheus Query Language), which enables users to real-time select and aggregate data from time series. The results from these queries can be visualized as graphs, presented in a table format via Prometheus's expression browser, or retrieved by external applications through its HTTP API. To configure Prometheus, users can employ both command-line flags and a configuration file, where flags define unchangeable system parameters such as storage locations and retention thresholds for disk and memory. This combination of configuration methods offers a customized monitoring experience that can accommodate a variety of user requirements.

Media

Media

Integrations Supported

Integrations Supported

Apolo
Bamboo
CrateDB
DataCore Swarm
Deductive AI
GitHub
HPE OneView
Harness
Interlink Software
KubeGrid
Lens
MetricFire
MySQL
NeuVector
NexClipper
Oracle Database
Parny
SAP Store
SCM-Manager
Webswing

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

Windows
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/global/en/products/automation/industry-software/gproms-digital-process-design-and-operations.html

Company Facts

Organization Name

Prometheus

Date Founded

2012

Company Website

prometheus.io

Categories and Features

Digital Twin

Not specified

Categories and Features

Container Monitoring

Not specified

Database

Not specified

Network Monitoring

Not specified

Observability

Not specified

Server Monitoring

Not specified

Telemetry

Not specified

Time Series Databases

Not specified

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