- Overview
- Requirements
- Pre-installation
- Preparing the installation
- Installing and configuring the service mesh
- Downloading the installation packages
- Configuring the OCI-compliant registry
- Granting installation permissions
- Installing and configuring the GitOps tool
- Deploying Redis through OperatorHub
- Applying miscellaneous configurations
- Running uipathctl
- Installation
- Post-installation
- Migration and upgrade
- Upgrading Automation Suite
- Migrating standalone products to Automation Suite
- Step 1: Restoring the standalone product database
- Step 2: Updating the schema of the restored product database
- Step 3: Moving the Identity organization data from standalone to Automation Suite
- Step 4: Backing up the platform database in Automation Suite
- Step 5: Merging organizations in Automation Suite
- Step 6: Updating the migrated product connection strings
- Step 7: Migrating standalone Orchestrator
- Step 8: Migrating standalone Insights
- Step 9: Migrating standalone Test Manager
- Step 10: Deleting the default tenant
- Performing a single tenant migration
- Migrating between Automation Suite clusters
- Monitoring and alerting
- Cluster administration
- Performing database maintenance
- Setting up Kerberos authentication
- Configuring the FQDN post-installation
- Switching to the secondary cluster manually in an Active/Passive setup
- Converting an existing installation to multi-site setup
- Guidelines on upgrading an Active/Passive deployment
- Guidelines on backing up and restoring an Active/Passive deployment
- Product-specific configuration
- Orchestrator advanced configuration
- Configuring Orchestrator parameters
- Configuring appSettings
- Configuring the maximum request size
- Overriding cluster-level storage configuration
- Configuring NLog
- Saving robot logs to Elasticsearch
- Configuring credential stores
- Configuring encryption key per tenant
- Cleaning up the Orchestrator database
- Skipping host library creation
- Troubleshooting
Automation Suite on OpenShift installation guide
Switching to the secondary cluster manually in an Active/Passive setup
This section provides high-level instructions on how to manually switch the traffic to the secondary cluster in an Active/Passive setup.
To switch to the secondary Automation Suite cluster, take the following steps:
- Turn on all the nodes of the Automation Suite cluster.
- Bring back all products.
- Wait for all the components and products to be healthy.
- Sync the AI Center skills on the secondary cluster.
- Switch the traffic to the secondary cluster.
When switching to the secondary site, products such as Insights, Task Mining, Process Mining, and Automation Hub are not available.
Bringing back the products
You can scale up the cluster and bring back all inactive products using the following command:
uipathctl config products scale-up
uipathctl config products scale-up
To scale down the cluster and switch off inactive products, refer to Switching off inactive products.
Syncing the AI Center ML Skill
You can use the following script to re-sync the AI Center ML Skilll in the secondary cluster. The script triggers the re-sync in the background if no active sync is in progress. You can use the same script to switch back to the primary cluster.
The script syncs the skills in the background (async) and returns. The job ensures that the skills are deployed and updates the DB entry to reflect the current status.
uipathctl service aicenter sync-skills [skill_ids]
uipathctl service aicenter sync-skills [skill_ids]
| Parameter | Description |
|---|---|
[skill_ids] | The optional array of the skill IDs separated by space. If you provide the skill ID, then only those skills are updated; otherwise, all deployed skills are re-synced. |
Example:
uipathctl service aicenter sync-skills 783273-3232-3232-323 32-32-323-3232
//this will only sync the skills with ID 783273-3232-3232-323 and 32-32-323-3232
uipathctl service aicenter sync-skills 783273-3232-3232-323 32-32-323-3232
//this will only sync the skills with ID 783273-3232-3232-323 and 32-32-323-3232
To monitor the skill status, you must run a different script, as shown in the following section.
Checking the status of the AI Center ML Skill
To view the status of the AI Center ML Skill, run the following command:
uipathctl service aicenter sync-skill-status [skill_ids]
uipathctl service aicenter sync-skill-status [skill_ids]
The command can return any of the following statuses:
InProgess- skill deployment is in progress.Failed- skill deployment is failed.OutOfSync- skill is available in the database; however, it has yet to be deployed.Available- when the skills are deployed and available to consume.