- 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
- 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
- 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
- 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
- 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 and Task 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
- Running the diagnostics tool
- Using the Automation Suite support bundle
- Exploring Logs
Step 4: Configuring Microsoft SQL Server
Each product in Automation Suite requires its own SQL database with corresponding specifications.
By default, the installer creates all the databases for you during the installation process. You must provide the necessary permissions for the installer to do so on your SQL server.
Alternatively, you can create your own databases. Refer to the following table for the names you need to use.
If you choose to bring your own databases for a new Automation Suite installation, we strongly recommend setting up new databases rather than using existing ones. This precaution is necessary to prevent any conflicts with the operation of Automation Suite that might occur due to leftover metadata from old databases.
The following table lists out the database names and their corresponding format.
Product / service |
Default database name |
Connection string format |
---|---|---|
Shared Platform Capabilities |
| |
Orchestrator |
| |
Action Center |
| |
Automation Suite Robots |
| |
Automation Hub |
| |
Data Service |
| |
Insights |
| |
Test Manager |
| |
Task Mining |
| |
AI Center |
| |
Apps | AutomationSuite_Apps 1 | ODBC |
Document Understanding |
| |
Process Mining |
AutomationSuite_ProcessMining_Warehouse 2AutomationSuite_Airflow 3 |
#{
.
AutomationSuite_ProcessMining_Warehouse
uses both ADO.NET and PYODBC formats.
AutomationSuite_Airflow
uses PYODBC connection string format. AutomationSuite_Airflow
must have READ_COMMITTED_SNAPSHOT
enabled when creating databases manually. The connection to the AutomationSuite_Airflow
database can not begin with a {
character.
If you manually set the connection strings in the configuration file, you can escape SQL, JDBC, or ODBC passwords as follows:
- for SQL: add
'
at the beginning and end of the password, and double any other'
. - for JDBC/ODBC: add
{
at the beginning of the password and}
at the end, and double any other}
.
You could use the databases in an elastic pool for better cost-effectiveness.
SQL_Latin1_General_CP1_CI_AS
at both the server and database level. We strongly recommend this particular setup for optimum performance and stability.
While you have the flexibility to use a collation of your choice, be aware that untested configurations can potentially lead to unexpected issues.
We do not recommend the use of Binary SQL or any collations that are case sensitive, as they cause known issues while installing Automation Suite.
dbcreator
role to the SQL account used to connect to the database.
db_owner
and db_securityadmin
roles for all Automation Suite databases.
db_owner
, then the SQL account should have the following roles and permissions on all databases (the only exception is Insights which
still requires db_owner
).
db_securityadmin
db_ddladmin
db_datawriter
db_datareader
EXECUTE
permission on dbo schema
db_securityadmin
and db_ddladmin
roles during installation or if the databases are reprovisioned, so you may revoke these permission afterwards.
Document Understanding requires the SQL Server to have the Full-Text Search component of the SQL Server Database Engine, which is not always installed by default.
If you did not select Full-Text Search when you installed SQL Server, run SQL Server Setup again to add it before configuring Document Understanding.
For more info, check this guide on how to add/install features on SQL server. You can also check here all the components that can be added to the SQL Server, which includes also Full-Text Search.
.json
functions.
For Azure SQL, ensure the database is S3 service objective or above.
Make sure the compatibility level for Insights database is set to 130 or higher. In most cases, the default settings meet this requirement. For more info, refer to View or Change the Compatibility level of a Database - SQL Server.
The installation validates both conditions and alerts you if minimum requirements are not met.
Data Service requires SQL Server version 2016 or higher.
If you create your own database using SQL Server version 2019 or higher, make sure to grant the following Data Service permissions to your users:
GRANT ALTER ANY SENSITIVITY CLASSIFICATION TO {userName};
GRANT VIEW ANY SENSITIVITY CLASSIFICATION TO {userName};
GRANT ALTER ANY SENSITIVITY CLASSIFICATION TO {userName};
GRANT VIEW ANY SENSITIVITY CLASSIFICATION TO {userName};
AutomationSuite_ProcessMining_Warehouse
for data storage for Process Mining process apps.
To ensure proper functioning of Process Mining, it is recommended to use Microsoft SQL Server 2022.
AutomationSuite_ProcessMining_Warehouse
.
When setting up Microsoft SQL Server make sure that the timezone of the SQL Server machine where the Airflow database and a dedicated Process Mining database are installed, is set to UTC.
To calculate the hardware requirements, you need to have an indication of:
- the number of (million) events in your process.
-
the number of case and event fields in your output data.
Note: In a development environment, for performance reasons, it is recommended to work on a small development dataset with a limited number of records.
You can use the Capacity calculator to determine the hardware requirements for setting up a dedicated Microsoft SQL Server machine for Process Mining. When you add Process Mining to the Product section, the minimum requirements for 1 Dedicated SQL Server are displayed.
See also Hardware requirements.
db_securityadmin
database-level role both during and post-installation to enable per app security on the Process Mining data warehouse SQL
Server. For details, see the official Microsoft documentation on Database-level roles.
See also Configuring process app security.
AutomationSuite_Platform
for
AI Events and AI Storage services.
-
Before starting the Automation Suite installation, take the following steps:
-
Enable FIPS 140-2 on the machine on which you plan to install Microsoft Server by following the Microsoft instructions.
-
Install Microsoft SQL Server on the FIPS 140-2-enabled machine.
-
Get the Microsoft SQL Server certificate by running the following command from the SQL Server or any server that can connect to the SQL server with the configured SQL host name:
nmap -sV -p <port> -vv --script ssl-cert domain
nmap -sV -p <port> -vv --script ssl-cert domain
-
-
During the Automation Suite installation, take the following steps:
-
Append the following values to the AI Center
sql_connection_string_template_jdbc
connection string in thecluster_config.json
file:encrypt=true;trustServerCertificate=false;fips=true;
.Example:
jdbc:sqlserver://sfdev1804627-c83f074b-sql.database.windows.net:1433;database=DB_NAME_PLACEHOLDER;user=testadmin;password=***;encrypt=true;trustServerCertificate=false;fips=true;Connection Timeout=30;hostNameInCertificate=sfdev1804627-c83f074b-sql.database.windows.net"
jdbc:sqlserver://sfdev1804627-c83f074b-sql.database.windows.net:1433;database=DB_NAME_PLACEHOLDER;user=testadmin;password=***;encrypt=true;trustServerCertificate=false;fips=true;Connection Timeout=30;hostNameInCertificate=sfdev1804627-c83f074b-sql.database.windows.net"For details on database configuration, see Advanced installation experience and Updating the SQL database.
-
Add the exported cert from step 1.c. to the trust store of the host machine. For details see Updating the CA Certificates.
-
For a high-availability configuration of your SQL Server, select an Always On availability group. For more info, refer to Overview of Always On availability groups.
READ_COMMITTED_SNAPSHOT
option is set to ON
.
READ_COMMITTED_SNAPSHOT
is enabled or
disabled:
SELECT is_read_committed_snapshot_on FROM sys.databases
WHERE name= 'UiPath'
SELECT is_read_committed_snapshot_on FROM sys.databases
WHERE name= 'UiPath'
1
.
0
. Use this query to
enable it:
ALTER DATABASE UiPath
SET READ_COMMITTED_SNAPSHOT ON
ALTER DATABASE UiPath
SET READ_COMMITTED_SNAPSHOT ON
READ_COMMITTED_SNAPSHOT
must be enabled on those as well.
- Databases
- SQL collation requirements
- Permissions
- SQL requirements for Full-Text Search
- SQL requirements for Insights
- SQL requirements for Data Service
- SQL requirements for Process Mining
- SQL requirements for AI Center
- Requirements for AI Center connected to an external Orchestrator
- Requirements for AI Center installed on a FIPS 140-2-enabled machine
- SQL requirements for HA
- SQL requirements for Orchestrator