Welcome
What's new
The What's new section tracks the capabilities delivered across each HCL Universal Orchestrator release, organized by version, so you can navigate directly to the features relevant to your deployment.
Version 2.1.6
In version 2.1.6 of HCL Universal Orchestrator, workflow orchestration gains inline scripting, conditional run logic, and a live monitoring canvas; Docker and Podman deployment, Telegram channel support, and Agentic AI Builder updates round out the release.
Deploying a lightweight and consistent environment by using Docker or Podman
Deploying the HCL Universal Orchestrator in a containerized environment by using Docker or Podman enables you to create a lightweight and consistent infrastructure. This approach ensures high availability and protects your workload from downtime by supporting an active-active setup.

What's new
The What's new section tracks the capabilities delivered across each HCL Universal Orchestrator release, organized by version, so you can navigate directly to the features relevant to your deployment.
- Version 2.1.6
  In version 2.1.6 of HCL Universal Orchestrator, workflow orchestration gains inline scripting, conditional run logic, and a live monitoring canvas; Docker and Podman deployment, Telegram channel support, and Agentic AI Builder updates round out the release.
  - Leverage advanced dashboard capabilities
    HCL Universal Orchestrator introduces enhancements to the dashboard interface, providing automated visualization adjustments, deeper metric exploration, and improved sharing utilities.
  - Workflow view in the Orchestration Monitor
    With the Workflow view, you can now open any plan workflow as a live flowchart in the Orchestration Monitor — seeing exactly which path ran, which task stalled, and which dependency blocked it.
  - Telegram channel for AI agent chatbots
    With Telegram channel support, your AI agent chatbot can now receive and respond to messages directly in Telegram — without requiring users to open the UI.
  - Inline Scripting tasks
    With Inline Scripting tasks, you can now run JavaScript or Python logic as a workflow step — without building or deploying a dedicated plug-in.
  - OCLI password encryption
    With Orchestration CLI password encryption, you can now export credential definitions with a portable, user-controlled key — importing them into any HCL Universal Orchestrator environment without touching the password fields.
  - Advanced run logic and task looping
    With the new Run logic panel in the Graphical Designer, you can now define when and how often a task runs using a JSONata expression, replacing conditional wrapper workflows with strategy-driven task-level control.
  - Deploying a lightweight and consistent environment by using Docker or Podman
    Deploying the HCL Universal Orchestrator in a containerized environment by using Docker or Podman enables you to create a lightweight and consistent infrastructure. This approach ensures high availability and protects your workload from downtime by supporting an active-active setup.
  - What's new in UnO Agentic AI Builder
  - Managing and exporting historical task data
    While standard system behavior restricts you to viewing task runs within the current active plan, the Task Run History action allows you to easily access and review comprehensive historical data from previous plans. Furthermore, you can perform detailed offline analysis and verify data integrity by downloading your currently visible table data into multiple file formats.
- Version 2.1.5
  In version 2.1.5 of HCL Universal Orchestrator, discover new personal setting preferences, the Search tab in the Graphical Designer, and the integrated JSONata editor for expression testing.
- Version 2.1.4
  In version 2.1.4 of HCL Universal Orchestrator, you can explore new orchestration capabilities including cross-plan dependencies, run cycle groups, dashboards, IMAP email events, endpoints, and a major expansion of the Agentic AI Builder.
Getting started with HCL Universal Orchestrator
HCL Universal Orchestrator is a cloud-native workload orchestration and scheduling platform built on Kubernetes. Its microservices-based architecture enables the centralized orchestration of multi-cloud and hybrid environments from a single point of control.
Deploying and Administrating
Deploy, connect, and administer HCL Universal Orchestrator on your own infrastructure, or start immediately with a hosted SaaS environment where the service provider manages all platform operations.
Using the UI
The UI is the HCL Universal Orchestrator interface, from which you can 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.
Administering multitenancy for service providers
Configure and administer a HCL Universal Orchestrator multitenant environment.
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.
UnO Agentic AI Builder
Troubleshooting
Recover your environment if any issue occurs.
Notices

Deploying a lightweight and consistent environment by using Docker or Podman

Deploying the HCL Universal Orchestrator in a containerized environment by using Docker or Podman enables you to create a lightweight and consistent infrastructure. This approach ensures high availability and protects your workload from downtime by supporting an active-active setup.

Containerizing the HCL Universal Orchestrator provides the following advantages for your environment:


Create a lightweight and consistent environment across your local infrastructure.
	Install the orchestrator on premises, either on your local machine or on a remote virtual machine.
Ensure high availability and protect your environment from downtime by using an active-active setup. If a single instance fails, the other instances continue to process workloads.