- Overview
- Requirements
- Installation
- Q&A: Deployment templates
- Release notes
- GCP deployment architecture
- Step 1: Preparing the GCP deployment
- Step 2: Deploying Automation Suite to GCP
- Step 3: Post-deployment steps
- 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
Step 1: Preparing the GCP deployment
Before performing an Automation Suite GCP deployment, you need to ensure you meet the requirements and plan accordingly.
To prevent data loss, ensure the infrastructure you use does not automatically delete cluster disks on cluster reboot or shutdown. If this capability is enabled, make sure to disable it.
By default, GCP supports only the latest RHEL 8 version. Moreover, it performs automatic updates that may lead to a minor OS version upgrade. As a consequence, you can fall out of the supported Automation Suite OS versions. To mitigate this we recommend using a custom image.
You must have access to a GCP project with the default service account enabled.
This project needs the following APIs enabled, and you must have permissions for all the operations the APIs imply:
- Compute Engine API
- Cloud DNS API
- Cloud SQL Admin API
- Secret Manager API
- Cloud Resource Manager API
- Service Networking API
- Identity and Access Management (IAM) API
To enable an API, take the following steps:
-
Search for the API in the top search bar.
-
On the Compute Engine API page, click Enable.
Note: If you plan to use service account credentials for the deployment, you must enable the Identity and Access Management (IAM) API. The API is used to get the default Compute Engine service account that will be linked to the deployed VMs.
You must have GCP SDK and Terraform installed on your machine.
For installation details, see the following:
The deployment provisions a configurable number of VMs with configurable types. Additionally, the templates also deploy VMs needed for node registration traffic. Those VMs have a fixed instance type.
Each project has a quota for the number of cores anyone can provision for a specific region.
If the deployment requirements put you over this quota, the deployment would fail. To prevent this, make sure you have enough room in the quota for your Automation Suite deployment.
Make sure that the VM family region availability meets your requirements.
You can check what VM instances are available in a region at Regions and zones.
Ensure that the GPU you want to use and the region you are deploying satisfy these constraints and the instance type for the GPU nodes supports a GPU. As stated in the GCP documentation, GPUs are currently only supported with general-purpose N1 or accelerator-optimized A2 machine types.
You can check GCP and RHEL documentation to create a custom image. An alternative is to use Daisy and the workflows provided by GCP.
To avoid automatic updates, you can tie the OS to a specific update using the following command:
subscription-manager release --set=<version>subscription-manager release --set=<version>
