- Overview
- Requirements
- Deployment templates
- Manual: Preparing the installation
- Manual: Preparing the installation
- Step 2: Configuring the OCI-compliant registry for offline installations
- Step 3: Configuring the external objectstore
- Step 4: Configuring High Availability Add-on
- Step 5: Configuring SQL databases
- Step 7: Configuring the DNS
- Step 8: Configuring the disks
- Step 9: Configuring kernel and OS level settings
- Step 10: Configuring the node ports
- Step 11: Applying miscellaneous settings
- Step 12: Validating and installing the required RPM packages
- Step 13: Generating cluster_config.json
- Cluster_config.json Sample
- General configuration
- Profile configuration
- Certificate configuration
- Database configuration
- External Objectstore configuration
- Pre-signed URL configuration
- ArgoCD configuration
- Kerberos authentication 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
- AI Center-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
- Adding a dedicated agent node with GPU support
- 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
- Running uipathctl
- Manual: Performing the installation
- Post-installation
- Cluster administration
- Managing products
- Getting Started with the Cluster Administration portal
- Migrating Redis from in-cluster to external High Availability Add-on
- Migrating data between objectstores
- Migrating in-cluster objectstore to external objectstore
- Migrating from in-cluster registry 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
- Scaling a single-node (evaluation) deployment to a multi-node (HA) deployment
- Monitoring and alerting
- Migration and upgrade
- Migrating between Automation Suite clusters
- 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
- Best practices and maintenance
- Troubleshooting
- How to troubleshoot services during installation
- How to reduce permissions for an NFS backup directory
- 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 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 check the TLS version
- How to work with certificates
- How to schedule Ceph backup and restore data
- How to collect DU usage data with in-cluster objectstore (Ceph)
- How to install RKE2 SELinux on air-gapped environments
- How to clean up old differential backups on an NFS server
- Error in downloading the bundle
- Offline installation fails because of missing binary
- Certificate issue in offline installation
- SQL connection string validation error
- 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
- Temporary registry installation fails on RHEL 8.9
- Frequent restart issue in uipath namespace deployments during offline installations
- DNS settings not honored by CoreDNS
- Upgrade fails due to unhealthy Ceph
- RKE2 not getting started due to space issue
- Upgrade fails due to classic objects in the Orchestrator database
- Ceph cluster found in a degraded state after side-by-side upgrade
- Service upgrade fails for Apps
- In-place upgrade timeouts
- Upgrade fails in offline environments
- snapshot-controller-crds pod in CrashLoopBackOff state after upgrade
- Upgrade fails due to overridden Insights PVC sizes
- Upgrade failure due to uppercase hostname
- 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
- Missing Ceph-rook metrics from monitoring dashboards
- Mismatch in reported errors during diagnostic health checks
- No healthy upstream issue
- Redis startup blocked by antivirus
- Running High Availability with Process Mining
- Process Mining ingestion failed when logged in using Kerberos
- 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
- Exploring summarized telemetry

Automation Suite on Linux installation guide
Process Mining-specific configuration
If enabling Process Mining, we recommend users to specify a SECONDARY SQL server to act as a data warehouse that is separate from the primary Automation Suite SQL Server. The data warehouse SQL Server will be under heavy load and can be configured in the processmining section:
| Parameter | Description |
|---|---|
|
| DotNet formatted connection string with database set as a placeholder: Initial Catalog=DB_NAME_PLACEHOLDER . |
|
|
This applies to the PostgreSQL
Sqlalchemy PSYCOPG2 formatted connection string for custom Airflow metadata database location:
Example: postgresql+psycopg2://testadmin:<password>@postgres.company.com:5432/DB_NAME_PLACEHOLDER
You can also use the |
|
| DotNet formatted SQL connection string to the processmining data warehouse SQL Server with placeholder for dbname: Initial Catalog=DB_NAME_PLACEHOLDER . |
|
| Sqlalchemy PYODBC formatted SQL connection string to the processmining data warehouse SQL Server with placeholder for dbname: sqlServer:1433/DB_NAME_PLACEHOLDER . |
|
| If the installer is creating databases through sql.create_db: true setting, a DotNet formatted master SQL connection string must be provided for the processmining data warehouse SQL Server. Database in the connection string must be set as master . |
Sample Process Mining connection string with PostgreSQL for AutomationSuite_Airflow
"processmining": {
"enabled": true,
"app_security_mode": "system_managed",
"airflow": {
"metadata_db_connection_str": "postgresql+psycopg2://testadmin:<password>@sfdev8454496-postgresql.postgres.database.azure.com:5432/AutomationSuite_Airflow"
},
"warehouse": {
"sql_connection_str": "Server=tcp:kerberossql.autosuitead.local,1433;Initial Catalog=AutomationSuite_Warehouse;Persist Security Info=False;User Id=testadmin;Password='<password>';MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=True;Connection Timeout=30;Max Pool Size=100;",
"sqlalchemy_pyodbc_sql_connection_str": "mssql+pyodbc://testadmin:<password>@kerberossql.autosuitead.local:1433/AutomationSuite_Warehouse?driver=ODBC+Driver+17+for+SQL+Server&TrustServerCertificate=YES&Encrypt=YES",
"master_sql_connection_str": "Server=tcp:kerberossql.autosuitead.local,1433;Initial Catalog=master;Persist Security Info=False;User Id=testadmin;Password='<password>';MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=True;Connection Timeout=30;Max Pool Size=100;"
"processmining": {
"enabled": true,
"app_security_mode": "system_managed",
"airflow": {
"metadata_db_connection_str": "postgresql+psycopg2://testadmin:<password>@sfdev8454496-postgresql.postgres.database.azure.com:5432/AutomationSuite_Airflow"
},
"warehouse": {
"sql_connection_str": "Server=tcp:kerberossql.autosuitead.local,1433;Initial Catalog=AutomationSuite_Warehouse;Persist Security Info=False;User Id=testadmin;Password='<password>';MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=True;Connection Timeout=30;Max Pool Size=100;",
"sqlalchemy_pyodbc_sql_connection_str": "mssql+pyodbc://testadmin:<password>@kerberossql.autosuitead.local:1433/AutomationSuite_Warehouse?driver=ODBC+Driver+17+for+SQL+Server&TrustServerCertificate=YES&Encrypt=YES",
"master_sql_connection_str": "Server=tcp:kerberossql.autosuitead.local,1433;Initial Catalog=master;Persist Security Info=False;User Id=testadmin;Password='<password>';MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=True;Connection Timeout=30;Max Pool Size=100;"
When using Kerberos authentication, utilize the Integrated Security and Trusted_Connection parameters. By setting Integrated Security to true and setting Trusted_Connection to yes, the credentials of the currently logged in user are used for the connection. In this case, you do not need to specify a separate username and password.
When configuring the connection strings for the Process Mining data warehouse SQL Server, the named instance of the SQL Server should be omitted.
Named instances of SQL Server cannot operate on the same TCP port. Therefore, the port number alone is sufficient to distinguish between instances.
For example, use tcp:server,1445 instead of tcp:server\namedinstance,1445.
Note that the names for template PYODBC connection string postgresql_connection_string_template_sqlalchemy_pyodbc (for PostgreSQL) and the PYODBC connection string sqlalchemy_pyodbc_sql_connection_str used when you bring your own database are different. Also connection string names are different for the template SQL sql_connection_string_template and sql_connection_str used when you bring your own database.
If you bring your own database and you configured this using the sql_connection_str and sqlalchemy_pyodbc_sql_connection_str or airflow.metadata_db_connection_str connection strings in the processmining section of the cluster_config.jsonfile, the template connection strings sql_connection_string_template and postgresql_connection_string_template_sqlalchemy_pyodbc (for PostgreSQL) are ignored if specified.