Get Started
Describes how to get started with HPE Ezmeral Unified Analytics Software.
Administration
Provides information about managing applications and clusters in HPE Ezmeral Unified Analytics Software.
- Installation
  Provides links to HPE Ezmeral Unified Analytics Software installation and service activation topics.
  - Installing on User-Provided Hosts (Connected and Air-gapped Environments)
    Provides the steps for installing HPE Ezmeral Unified Analytics Software on user-provided hosts in connected and air-gapped environments. A user-provided host is a bare metal machine or virtual machine (VM) that meets the installation prerequisites.
  - Installing HPE Ezmeral Unified Analytics Software on OpenShift
    Provides the prerequisites and steps for installing HPE Ezmeral Unified Analytics Software in an OpenShift cluster and also lists the current limitations.
  - HPE Ezmeral Unified Analytics Software Service Activation and Billing Processes
    Provides post-installation steps required to activate HPE Ezmeral Unified Analytics Software in connected and air-gapped environments.
  - Using the Air Gap Utility
    Describes how to use the Air Gap Utility to download files in an air-gapped HPE Ezmeral Unified Analytics Software environment.
  - Ports Used by HPE Ezmeral Unified Analytics Software
    Lists and describes the ports used by HPE Ezmeral Unified Analytics Software.
- Upgrading HPE Ezmeral Unified Analytics Software
  Provides the steps to upgrade HPE Ezmeral Unified Analytics Software.
- Expanding the Cluster
  Describes how to add additional user-provided hosts to the management cluster to increase resource capacity and how to expand the cluster to include the additional user-provided hosts.
- Importing Frameworks and Managing the Application Lifecycle
  Describes how to import, manage, and secure tools and frameworks in HPE Ezmeral Unified Analytics Software.
- Connecting to External S3 Object Stores
  Describes how to connect HPE Ezmeral Unified Analytics Software to external S3 object storage in AWS, MinIO, and HPE Ezmeral Data Fabric Object Store.
- Installing Included Frameworks Post Unified Analytics Installation
  Describes how to install included frameworks post HPE Ezmeral Unified Analytics Software installation.
- Connecting to HPE Ezmeral Data Fabric
  Describes how to connect HPE Ezmeral Unified Analytics Software to an external HPE Ezmeral Data Fabric cluster.
- Connecting to HPE GreenLake for File Storage
  Describes how to connect Unified Analytics to an external HPE GreenLake for File Storage cluster.
- Configuring Endpoints
  Describes the endpoints in HPE Ezmeral Unified Analytics Software and how to configure them.
- GPU Support
  Provides information about support for NVIDIA GPU, MIG partitioning, preparing hosts for GPU-enabled environment, adding hosts and enabling GPU in HPE Ezmeral Unified Analytics Software.
- GPU Resource Management
  Describes the GPU idle reclaim policy used for GPU resource management.
- Troubleshooting
  Describes how to identify and debug issues in HPE Ezmeral Unified Analytics Software.
- Product Version and Lifecycle Support
  Provides information about software and component support.
- Support Matrix
  The tables on this page show the tools and frameworks, HPE Ezmeral Data Fabric, operating system versions, and GPU models that are supported for HPE Ezmeral Unified Analytics Software releases.
- Release Notes (1.5.4)
  This document provides a comprehensive overview of the latest updates and security fixes in HPE Ezmeral Unified Analytics Software (version 1.5.4).
- Release Notes (1.5.3)
  This document provides a comprehensive overview of the latest updates and security fixes in HPE Ezmeral Unified Analytics Software (version 1.5.3).
- Release Notes (1.5.2)
  This document provides a comprehensive overview of the latest updates and enhancements in HPE Ezmeral Unified Analytics Software (version 1.5.2), including improvements, bug fixes, and known issues.
- Release Notes (1.5.0)
  This document provides a comprehensive overview of the latest updates and enhancements in HPE Ezmeral Unified Analytics Software (version 1.5.0), including new features, improvements, bug fixes, and known issues.
- Term Licensing
  Describes term licensing for HPE Ezmeral Unified Analytics Software.
Security
Describes security in HPE Ezmeral Unified Analytics Software.
Observability
Describes observability in HPE Ezmeral Unified Analytics Software.
Data Engineering
Data engineers can design and build pipelines that transform and transport data into usable formats for data consumers.
Data Analytics
Provides a brief overview of data analytics in HPE Ezmeral Unified Analytics Software.
Data Science
Provides a brief overview of data science in HPE Ezmeral Unified Analytics Software.
Notebooks
Provides a brief overview of Notebooks in HPE Ezmeral Unified Analytics Software.
Glossary
Definitions for commonly used terms in HPE Ezmeral Unified Analytics environments.

Ports Used by HPE Ezmeral Unified Analytics Software

Lists and describes the ports used by HPE Ezmeral Unified Analytics Software.

Kubernetes Ports

TCP Ports	Purpose
80, 443	Ingress traffic into the cluster
6443	kube apiserver
2379-2380	etcd
10250	kubelet
10248	kubelet (healthz endpoint)
10249	kube-proxy (metrics)
10256	kube-proxy (health check)
10259	kube-scheduler
10257	kube-controller-manager
9099	calico-node
9100	Node exporter service
30000-32767	NodePort Services

UDP Ports

Ports	Purpose
8472	Flannel vxlan traffic between all Kubernetes hosts

Installer Host Ports

TIP

The installer automatically opens ports if the firewall is disabled.

TCP Ports	Purpose
8080	Installer UI
22	SSH connectivity between installer, control plane, and worker hosts for software installation

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HPE Ezmeral Unified Analytics Software 1.5 Documentation
Abstract	HPE Ezmeral Unified Analytics Software is a usage-based Software-as-a-Service (SaaS) model that operationalizes hybrid and multi-cloud modern analytical workloads through a simple user interface, easily installed and deployed in minutes. HPE Ezmeral Unified Analytics Software separates compute and storage for flexible, cost-efficient scalability to securely access data stored in multiple data platforms, enabling you to run traditional and advanced analytics workloads with open-source tools.
Published	December 2025
Edition	1.5.0
Topic last updated	2024-02-12