Welcome
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 UnO AI Pilot
This section offers solutions for common problems that may occur during setup or general use.
Missing CRDs

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
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
All the information you need to deploy and administrate HCL Universal Orchestrator.
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.
- Overview
- Installation and Configuration
- User Guide
- Troubleshooting UnO AI Pilot
  This section offers solutions for common problems that may occur during setup or general use.
  - Collecting logs
    UnO AI Pilot is built adopting a microservices-based architecture. Log files for UnO AI Pilot components are located inside the respective containers.
  - Data Migration Required for UnO AI Pilot Upgrade
  - Enabling Path to the Ingress for Channels
  - Missing CRDs
  - Password Error
  - Postgres Database Not Showing Up
UnO Agentic AI Builder
Troubleshooting
Recover your environment if any issue occurs.
Notices

Missing CRDs

Issue: If you encounter an error during installation or upgrade


Error: UPGRADE FAILED: resource mapping not found for name: "<releasename>-pg-db" 
namespace: "uno" from "": no matches for kind "PerconaPGCluster" in version "pgv2.percona.com/v2"

It usually indicates that the required Custom Resource Definitions (CRDs) are not installed.

Solution:

Ensure the Percona PostgreSQL Operator is installed or upgraded before creating your cluster:


helm upgrade --install pg-operator percona/pg-operator \
  --version 2.8.0 \
  -n "$NS

Replace $NS with your namespace. This ensures all necessary CRDs and resources are available.

Note:

Replace <namespace> with the Kubernetes namespace where you want the components installed.
The pg-operator will be installed automatically in the same namespace specified by the -n flag in the command.
For other installation options, see Alternative installation methods.
For more details, refer to the official Percona Helm chart documentation: https://github.com/percona/percona-helm-charts/tree/main/charts/pg-operator