Welcome
Deploying and Administrating
All the information you need to deploy and administrate HCL Universal Orchestrator.
Policy-driven plan
The new HCL Universal Orchestrator policy-driven adaptive plan makes your workload more autonomous, dynamic and scalable.

What's new
HCL Universal Orchestrator is constantly evolving to offer you the most comprehensive orchestration capabilities. For known limitations, workarounds, and contact information of HCL Customer Support, see Release notes.
What is HCL Universal Orchestrator
An introductory overview of HCL Universal Orchestrator.
Deploying and Administrating
All the information you need to deploy and administrate HCL Universal Orchestrator.
- Deploying HCL Universal Orchestrator
  All the information you need to deploy HCL Universal Orchestrator.
- Installing and connecting HCL Workload Automation dynamic agent at version 10.2.3
  You can install agents at HCL Workload Automation to be able to manage all task integrations.
- Installing HCL UnO agent
  HCL UnO agent is a versatile on premises agent that can run all types of tasks with efficiency and reliability. You can configure the properties of the agent to connect it to the agent manager of HCL Universal Orchestrator.
- Installing and authenticating the Orchestration CLI
  Install, authenticate and configure the Orchestration CLI.
- Managing HCL UnO agent in Windows operating systems
  You can manage the agent by using scripts that are generated while configuring the agent or by Daemon process. It is recommended to use any method for ideal cohesion and efficient administration.
- Managing HCL UnO agent in Unix operating systems
  You can manage the agent by using scripts that are generated while configuring the agent or by Daemon process. It is recommended to use any method for ideal cohesion and efficient administration.
- Managing Workload Security
  You can manage security settings in your environment from the Orchestration CLI.
- Configuring a user registry
  In this topic you can find information about how to configure a user registry.
- Keeping track of changes in your environment
  Administrators can request to specify a justification when saving or editing items to keep track of the changes in your environment.
- Policy-driven plan
  The new HCL Universal Orchestrator policy-driven adaptive plan makes your workload more autonomous, dynamic and scalable.
  - Policy-driven adaptive plan scenario
    A practical business application of the HCL Universal Orchestrator policy-driven plan.
  - Dependencies
    Workflow dependencies in the HCL Universal Orchestrator policy-driven plan have been updated to match the plan improved flexibility.
- Managing time zones
  In this topic you can find information about managing time zones.
- Observability
  Using third-party tools to monitor HCL Universal Orchestrator
Using the UI
The UI is the HCL Universal Orchestrator interface, from which you can smoothly design your scheduling environment and monitor every process.
Orchestrating
Orchestrate anything with HCL Universal Orchestrator.
Orchestrating from Mobile
You can use your mobile devices to manage quickly and easily your whole HCL Universal Orchestrator environment.
Monitoring
Take your environment under control.
Using REST API
Use REST APIs to easily integrate workload scheduling capabilities with external products and solutions.
Uno AI Pilot
Welcome to the HCL Universal Orchestrator AI Pilot documentation. This resource is designed to guide you through everything you need to know about using UnO AI Pilot effectively. You will find detailed instructions, feature overviews, and helpful tips to ensure you get the best experience with UnO AI Pilot.
Troubleshooting
Recover your environment if any issue occurs.
Notices

HCL Universal Orchestrator policy-driven plan

The new HCL Universal Orchestrator policy-driven adaptive plan makes your workload more autonomous, dynamic and scalable.

The new plan is regulated by customizable policies that determine an automated pipeline.

Table 1. Policies
Policy	Name	Description	Default value
`active-window`	Active window	The time window in which the dependencies of active workflow instances are resolved and launched.	24 hours
`active-window.extension`	Plan extension frequency	How often the plan is updated.	5 minutes
`not-active.window.min`	Old instances retention	How much time successfully completed workflow instances are kept in the plan.	7 days
`not-active.window.max`	Non-active window	The number of days for which you want to have a continuous pipeline of workflow instances created in the database ready to be scheduled and added to the plan. The non-active window is automatically extended everyday.	14 days

These policies are fully customizable.

Policy-driven planning pipeline example

The new planning pipeline starts with the creation of a workflow using run cycles. Let's name the workflow "EXAMPLE".
New non-active "EXAMPLE" workflow instances are created and scheduled for the next 14 days by default.
The activation of the new "EXAMPLE" workflow instances happens in a time window of 24 hours by default.
When "EXAMPLE" instances are activated, their dependencies are resolved. Dependencies for not started and not modified instances are re-evaluated and their best match is determined every time a new instance is activated, or a new task is submitted. Find more information on dependencies behavior here.
Completed "EXAMPLE" instances are removed after 7 days by default.
The plan is extended every 5 minutes by default, starting again from step number 2.

The new plan is designed to run autonomously with minimal user interaction while still guaranteeing full user control over the whole workload. For more information about the new plan, see the policy-driven plan scenario.

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