The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.
Federator.ai Dashboard Backend is one of the components of Alameda and Alameda is a prediction engine that foresees future resource usage of your Kubernetes cluster from the cloud layer down to the pod level. We use machine learning technology to provide intelligence that enables dynamic scaling and scheduling of your containers - effectively making us the “brain” of Kubernetes resource orchestration. By providing full foresight of resource availability, demand, health, impact and SLA, we enable cloud strategies that involve changing provisioned resources in real time.
The following information was extracted from the dockerfile and other sources.
| Canonical image ID | Federator.ai Dashboard Backend |
| Summary | Federator AI portal server |
| Description | Federator AI portal server |
| Provider | ProphetStor Data Services, Inc. |
| Maintainer | Red Hat, Inc. |
| Repository name | Federator AI portal server |
| Image version | latest |
| Architecture | amd64 |
| User | 1001 |
| Working directory | AI/opt/federatorai-portal |
Use a registry service account token to authenticate your container client. This allows you to pull images without using your personal Red Hat credentials, which is recommended for CI/CD pipelines and automated deployments.
Run the following command, then enter your registry token credentials when prompted by the terminal.
Pull the image
Use the following instructions to get images from a Red Hat container registry using your Red Hat login.
Run the following command, then enter your login credentials when prompted by the terminal.
Pull the image