Search Results for "amazon"

...You can filter and process the incoming log messages using the flow custom resource of the log forwarder to route them to the appropriate output. The outputs are the destinations where you want to send your log messages, for example, Elasticsearch, or an Amazon S3 bucket. You can also define cluster-wide outputs and flows, for example, to use a centralized output that namespaced users can reference but cannot modify.

...The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. Experiment: A collection of related Trials. Add Trials to an Experiment that you wish to compare together. Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. ...

Hyperic is application monitoring and performance management for virtual, physical, and cloud infrastructures. Auto-discover resources of 75+ technologies, including vSphere, and collect availability, performance, utilization, and throughput metrics.