Which tool is known for visualizing metrics from models and infrastructure?

Prometheus is a powerful open-source monitoring and alerting toolkit specifically designed for tracking and visualizing metrics. It excels in collecting time-series data, allowing users to query and analyze the performance of applications and infrastructure. Prometheus integrates seamlessly with various infrastructures and services, making it highly effective for monitoring complex systems in real-time.

Key features of Prometheus that contribute to its reputation include its robust data model that allows efficient storage of metrics and its expressive querying language (PromQL), which enables users to create detailed graphs and dashboards. This makes it particularly useful for visualizing metrics from machine learning models as well as the underlying infrastructure, providing insights that can help in optimizing performance and resource allocation.

In contrast, Jupyter Notebooks are primarily used for interactive coding and data analysis, making them less focused on real-time metric visualization. Apache Kafka serves as a distributed event streaming platform and is used for building real-time data pipelines, but it does not directly visualize metrics. Tomcat is a web server and servlet container that hosts Java applications, but it lacks the specialized metric visualization capabilities that Prometheus offers.