- Overview
- Requirements
- Installation
- Q&A: Deployment templates
- Configuring the machines
- Configuring the external objectstore
- Configuring an external Docker registry
- Configuring the load balancer
- Configuring the DNS
- Configuring Microsoft SQL Server
- Configuring the certificates
- Online multi-node HA-ready production installation
- Offline multi-node HA-ready production installation
- Disaster recovery - Installing the secondary cluster
- Downloading the installation packages
- install-uipath.sh parameters
- Enabling Redis High Availability Add-On for the cluster
- Document Understanding configuration file
- 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
- Post-installation
- Cluster administration
- Monitoring and alerting
- Migration and upgrade
- Migration options
- 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 Insights
- Step 7: Deleting the default tenant
- B) Single tenant migration
- Product-specific configuration
- 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 automatically clean up Longhorn snapshots
- How to disable TX checksum offloading
- How to manually set the ArgoCD log level to Info
- 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
- GPU node affected by resource unavailability
- Volume unable to mount due to not being ready for workloads
- Support bundle log collection failure
- Failure to upload or download data in objectstore
- PVC resize does not heal Ceph
- Failure to resize PVC
- Failure to resize objectstore PVC
- Rook Ceph or Looker pod stuck in Init state
- StatefulSet volume attachment error
- Failure to create persistent volumes
- Storage reclamation patch
- Backup failed due to TooManySnapshots error
- All Longhorn replicas are faulted
- Setting a timeout interval for the management portals
- Update the underlying directory connections
- 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
- 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
- Issues accessing the ArgoCD read-only account
- MongoDB pods in CrashLoopBackOff or pending PVC provisioning after deletion
- Unhealthy services after cluster restore or rollback
- Pods stuck in Init:0/X
- Prometheus in CrashloopBackoff state with out-of-memory (OOM) error
- 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
- 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
- Using the Automation Suite Diagnostics Tool
- Using the Automation Suite support bundle
- Exploring Logs
Automation Suite on Linux Installation Guide
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 using 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.
AutomationSuite_ProcessMining_Warehouse
databases. Non-standard SQL server ports are not supported.
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
- 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