- Overview
- Glossary
- Automation Suite products
- Cross-product dependencies
- Supported use cases for single-node and multi-node installations
- Multi-node architecture and design consideration
- Cross-deployment feature comparison
- Security and compliance
- Certificates overview
- Requirements
- Recommended: Deployment templates
- Manual: Preparing the installation
- Manual: Preparing the installation
- Step 1: Configuring the OCI-compliant registry for offline installations
- Step 2: Configuring the external objectstore
- Step 3: Configuring High Availability Add-on
- Step 4: Configuring Microsoft SQL Server
- Step 5: Configuring the load balancer
- Step 6: Configuring the DNS
- Step 7: Configuring the disks
- Step 8: Configuring kernel and OS level settings
- Step 9: Configuring the node ports
- Step 10: Applying miscellaneous settings
- Step 12: Validating and installing the required RPM packages
- Step 13: Generating cluster_config.json
- Certificate configuration
- Database configuration
- External Objectstore configuration
- Pre-signed URL configuration
- External OCI-compliant registry configuration
- Disaster recovery: Active/Passive and Active/Active configurations
- High Availability Add-on configuration
- Orchestrator-specific configuration
- Insights-specific configuration
- Process Mining-specific configuration
- Document Understanding-specific configuration
- Automation Suite Robots-specific configuration
- Monitoring configuration
- Optional: Configuring the proxy server
- Optional: Enabling resilience to zonal failures in a multi-node HA-ready production cluster
- Optional: Passing custom resolv.conf
- Optional: Increasing fault tolerance
- install-uipath.sh parameters
- Adding a dedicated agent node with GPU support
- Adding a dedicated agent Node for Task Mining
- Connecting Task Mining application
- Adding a Dedicated Agent Node for Automation Suite Robots
- Step 15: Configuring the temporary Docker registry for offline installations
- Step 16: Validating the prerequisites for the installation
- Manual: Performing the installation
- Post-installation
- Cluster administration
- Managing products
- Getting Started with the Cluster Administration portal
- Migrating objectstore from persistent volume to raw disks
- Migrating from in-cluster to external High Availability Add-on
- Migrating data between objectstores
- Migrating in-cluster objectstore to external objectstore
- Migrating to an external OCI-compliant registry
- Switching to the secondary cluster manually in an Active/Passive setup
- Disaster Recovery: Performing post-installation operations
- Converting an existing installation to multi-site setup
- Guidelines on upgrading an Active/Passive or Active/Active deployment
- Guidelines on backing up and restoring an Active/Passive or Active/Active deployment
- Redirecting traffic for the unsupported services to the primary cluster
- Monitoring and alerting
- Migration and upgrade
- Step 1: Moving the Identity organization data from standalone to Automation Suite
- Step 2: Restoring the standalone product database
- Step 3: Backing up the platform database in Automation Suite
- Step 4: Merging organizations in Automation Suite
- Step 5: Updating the migrated product connection strings
- Step 6: Migrating standalone Orchestrator
- Step 7: Migrating standalone Insights
- Step 8: Deleting the default tenant
- B) Single tenant migration
- Migrating from Automation Suite on Linux to Automation Suite on EKS/AKS
- Upgrading Automation Suite
- Downloading the installation packages and getting all the files on the first server node
- Retrieving the latest applied configuration from the cluster
- Updating the cluster configuration
- Configuring the OCI-compliant registry for offline installations
- Executing the upgrade
- Performing post-upgrade operations
- Product-specific configuration
- Using the Orchestrator Configurator Tool
- Configuring Orchestrator parameters
- Orchestrator appSettings
- Configuring appSettings
- Configuring the maximum request size
- Overriding cluster-level storage configuration
- Configuring credential stores
- Configuring encryption key per tenant
- Cleaning up the Orchestrator database
- Best practices and maintenance
- Troubleshooting
- How to troubleshoot services during installation
- How to uninstall the cluster
- How to clean up offline artifacts to improve disk space
- How to clear Redis data
- How to enable Istio logging
- How to manually clean up logs
- How to clean up old logs stored in the sf-logs bucket
- How to disable streaming logs for AI Center
- How to debug failed Automation Suite installations
- How to delete images from the old installer after upgrade
- How to disable TX checksum offloading
- How to upgrade from Automation Suite 2022.10.10 and 2022.4.11 to 2023.10.2
- How to manually set the ArgoCD log level to Info
- How to expand AI Center storage
- How to generate the encoded pull_secret_value for external registries
- How to address weak ciphers in TLS 1.2
- How to forward application logs to Splunk
- Unable to run an offline installation on RHEL 8.4 OS
- Error in downloading the bundle
- Offline installation fails because of missing binary
- Certificate issue in offline installation
- First installation fails during Longhorn setup
- SQL connection string validation error
- Prerequisite check for selinux iscsid module fails
- Azure disk not marked as SSD
- Failure after certificate update
- Antivirus causes installation issues
- Automation Suite not working after OS upgrade
- Automation Suite requires backlog_wait_time to be set to 0
- Volume unable to mount due to not being ready for workloads
- Support bundle log collection failure
- Test Automation SQL connection string is ignored
- Data loss when reinstalling or upgrading Insights following Automation Suite upgrade
- Single-node upgrade fails at the fabric stage
- Cluster unhealthy after automated upgrade from 2021.10
- Upgrade fails due to unhealthy Ceph
- RKE2 not getting started due to space issue
- Volume unable to mount and remains in attach/detach loop state
- Upgrade fails due to classic objects in the Orchestrator database
- Ceph cluster found in a degraded state after side-by-side upgrade
- Unhealthy Insights component causes the migration to fail
- Service upgrade fails for Apps
- In-place upgrade timeouts
- Docker registry migration stuck in PVC deletion stage
- AI Center provisioning failure after upgrading to 2023.10 or later
- Upgrade fails in offline environments
- SQL validation fails during upgrade
- snapshot-controller-crds pod in CrashLoopBackOff state after upgrade
- Longhorn REST API endpoint upgrade/reinstall error
- Upgrade fails due to overridden Insights PVC sizes
- Setting a timeout interval for the management portals
- Authentication not working after migration
- Kinit: Cannot find KDC for realm <AD Domain> while getting initial credentials
- Kinit: Keytab contains no suitable keys for *** while getting initial credentials
- GSSAPI operation failed due to invalid status code
- Alarm received for failed Kerberos-tgt-update job
- SSPI provider: Server not found in Kerberos database
- Login failed for AD user due to disabled account
- ArgoCD login failed
- Update the underlying directory connections
- Failure to get the sandbox image
- Pods not showing in ArgoCD UI
- Redis probe failure
- RKE2 server fails to start
- Secret not found in UiPath namespace
- ArgoCD goes into progressing state after first installation
- MongoDB pods in CrashLoopBackOff or pending PVC provisioning after deletion
- Unhealthy services after cluster restore or rollback
- Pods stuck in Init:0/X
- Missing Ceph-rook metrics from monitoring dashboards
- Pods cannot communicate with FQDN in a proxy environment
- Failure to configure email alerts post upgrade
- Document Understanding not on the left rail of Automation Suite
- Failed status when creating a data labeling session
- Failed status when trying to deploy an ML skill
- Migration job fails in ArgoCD
- Handwriting recognition with intelligent form extractor not working
- Failed ML skill deployment due to token expiry
- Running High Availability with Process Mining
- Process Mining ingestion failed when logged in using Kerberos
- After Disaster Recovery Dapr is not working properly for Process Mining
- Unable to connect to AutomationSuite_ProcessMining_Warehouse database using a pyodbc format connection string
- Airflow installation fails with sqlalchemy.exc.ArgumentError: Could not parse rfc1738 URL from string ''
- How to add an IP table rule to use SQL Server port 1433
- Automation Suite certificate is not trusted from the server where CData Sync is running
- Running the diagnostics tool
- Using the Automation Suite support bundle
- Exploring Logs

Automation Suite on Linux installation guide
Supported use cases for single-node and multi-node installations
Why the single-node mode is only suitable for evaluation purposes, whereas the multi-node profile can be implemented in production.
Automation Suite supports two deployment modes, each targeted at specific use cases, as explained in the following table:
Deployment mode |
Description |
---|---|
Single-node — evaluation |
Supported only for evaluation and demo scenarios. |
Multi-node — production, HA-enabled |
The only configuration supported for production deployments. You can perform additional configuration post-deployment to have full HA capabilities. |
Automation Suite uses a cloud native architecture based on Kubernetes. It provides all the benefits in scale, automatic resource management, and reliability that come with Kubernetes.
To offer these benefits, the Kubernetes design is based on the following fundamental aspects:
- Running on an uneven number of multiple machines (3, 5, 7, etc.);
- Using the quorum principle to handle independent node failures and data corruption. For a cluster of N machines, as long as there is still a number of N/2 + 1 machines that have quorum, the cluster is functional and can recover gracefully with no observed failures.
By definition, single-node deployments do not benefit from the previously described characteristics and are not supported for production deployments. Failures and data loss can and will occur. In case of failure, data recovery for single-node deployments without backup is not supported.
However, since support for single-node deployments is valuable for evaluation and demo scenarios, UiPath® offers this deployment option applicable to some specific use cases.