- 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
- Cluster_config.json Sample
- General configuration
- Profile configuration
- Certificate configuration
- Database configuration
- External Objectstore configuration
- Pre-signed URL configuration
- ArgoCD 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 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
- 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
- Applying a patch
- 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 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 schedule Ceph backup and restore data
- 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
- 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
- Data loss when reinstalling or upgrading Insights following Automation Suite upgrade
- Unable to access Automation Hub following upgrade to Automation Suite 2024.10.0
- Single-node upgrade fails at the fabric stage
- 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
- 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
- Partial failure to restore backup in Automation Suite 2024.10.0
- 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
- Pods stuck in Init:0/X
- Missing Ceph-rook metrics from monitoring dashboards
- 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
- 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
- Task Mining troubleshooting
- Running the diagnostics tool
- Using the Automation Suite support bundle
- Exploring Logs
![](https://docs.uipath.com/_next/static/media/grid.05ebd128.png?w=3840&%3Bq=100)
Automation Suite on Linux Installation Guide
Management alerts
Alertmanager
instances within the same cluster have different configurations. This could indicate a problem with the configuration rollout
which is not consistent across all the instances of Alertmanager
.
To fix the issue, take the following steps:
-
Run a
diff
tool between allalertmanager.yml
that are deployed to identify the problem. -
Delete the incorrect secret and deploy the correct one.
If the issue persists, contact UiPath® Support.
AlertManager has failed to load or reload configuration. Please check any custom AlertManager configurations for input errors and otherwise contact UiPath® Support and provide the support bundle. For details, see Using the Automation Suite support bundle.
These are internal Alertmanager errors for HA clusters with multiple AlertManager replicas. Alerts may appear and disappear intermittently. Temporarily scaling down, then scaling up Alertmanager replicas may fix the issue.
To fix the issue, take the following steps:
-
Scale to zero. Note that it takes a moment for the pods to shut down:
kubectl scale statefulset -n cattle-monitoring-system alertmanager-rancher-monitoring-alertmanager --replicas=0
kubectl scale statefulset -n cattle-monitoring-system alertmanager-rancher-monitoring-alertmanager --replicas=0 -
Scale back to two:
kubectl scale statefulset -n cattle-monitoring-system alertmanager-rancher-monitoring-alertmanager --replicas=2
kubectl scale statefulset -n cattle-monitoring-system alertmanager-rancher-monitoring-alertmanager --replicas=2 -
Check if the Alertmanager pods started and are in the running state:
kubectl get po -n cattle-monitoring-system
kubectl get po -n cattle-monitoring-system
If the issue persists, contact UiPath® Support.
Prometheus is not able to collect metrics from the target in the alert, which means Grafana dashboards and further alerts based on metrics from that target are not be available. Check other alerts pertaining to that target.
This is an alert meant to ensure that the entire alerting pipeline is functional. This alert is always firing. Therefore, it should always be firing in AlertManager and against a receiver. There are integrations with various notification mechanisms that notify you when this alert is not firing. For example, the DeadMansSnitch integration in PagerDuty.
PrometheusOperatorListErrors, PrometheusOperatorWatchErrors, PrometheusOperatorSyncFailed, PrometheusOperatorReconcileErrors, PrometheusOperatorNodeLookupErrors, PrometheusOperatorNotReady, PrometheusOperatorRejectedResources
Internal errors of the Prometheus operator, which controls Prometheus resources. Prometheus itself may still be healthy while these errors are present; however, this error indicates there is degraded monitoring configurability. Contact UiPath® Support.
Prometheus has failed to load or reload configuration. Please check any custom Prometheus configurations for input errors. Otherwise contact UiPath® Support.
PrometheusErrorSendingAlertsToSomeAlertmanagers, PrometheusErrorSendingAlertsToAnyAlertmanager, PrometheusNotConnectedToAlertmanagers
The connection from Prometheus to AlertManager is not healthy. Metrics may still be queryable, and Grafana dashboards may still show them, but alerts will not fire. Check any custom configuration of AlertManager for input errors and and otherwise contact UiPath® Support.
PrometheusNotificationQueueRunningFull, PrometheusTSDBReloadsFailing, PrometheusTSDBCompactionsFailing, PrometheusNotIngestingSamples, PrometheusDuplicateTimestamps, PrometheusOutOfOrderTimestamps, PrometheusRemoteStorageFailures, PrometheusRemoteWriteBehind, PrometheusRemoteWriteDesiredShards
Internal Prometheus errors indicating metrics may not be collected as expected. Please contact UiPath® Support.
This may happen if there are malformed alerts based on non-existent metrics or incorrect PromQL syntax. Contact UiPath® Support if no custom alerts have been added.
Prometheus is not able to evaluate whether alerts should be firing. This may happen if there are too many alerts. Please remove expensive custom alert evaluations and/or see documentation on increasing CPU limit for Prometheus. Contact UiPath® Support if no custom alerts have been added.
These alerts warn when the cluster is approaching the configured limits for memory and storage. This is likely to happen on clusters with a recent substantial increase in usage (usually from Robots rather than users), or when nodes are added to the cluster without adjusting Prometheus resources. This is due to an increase in the amount of metrics being collected. This could also be due to a large number of alerts that are being fired, it is important to check why the large amount of alerts are being fired.
If this issue persists, contact UiPath® Support with the generated support bundle.
The number of http 500 responses from UiPath® services exceeds a given threshold.
Traffic level |
Number of requests in 20 minutes |
Error threshold (for http 500s) |
---|---|---|
High |
>100,000 |
0.1% |
Medium |
Between 10,000 and 100,000 |
1% |
Low |
< 10,000 |
5% |
Errors in user-facing services would likely result in degraded functionality that is directly observable in the Automation Suite UI, while errors in backend services would have less obvious consequences.
The alert indicates which service is experiencing a high error rate. To understand what cascading issues there may be from other services that the reporting service depends on, you can use the Istio Workload dashboard, which shows errors between services.
Please double check any recently reconfigured Automation Suite products. Detailed logs are also available with the kubectl logs command. If the error persists, please contact UiPath® Support.
This alert indicates that the NFS server connection is lost.
You need to check the NFS server connection and mount path.
This alert indicates that the backup failed for a PVC.
To address this issue, take the following steps:
-
Check the status of the PVC to ensure it is
Bound
to a Persistent Volume (PV).kubectl get pvc --namespace <namespace>
kubectl get pvc --namespace <namespace>The command lists all PVCs and their current status. The PVC should have a status ofBound
to indicate it has successfully claimed a PV.If the status isPending
, it means the PVC is still waiting for a suitable PV, and further investigation is needed. -
If the PVC is not in a
Bound
state or if you need more detailed information, use thedescribe
command:kubectl describe pvc <pvc-name> --namespace <namespace>
kubectl describe pvc <pvc-name> --namespace <namespace>Look for information on the status, events, and any error messages. For example, an issue could be related to storage class misconfigurations or quota limitations.
-
Check the health of the Persistent Volume (PV) that is bound to the PVC:
kubectl get pv <pv-name>
kubectl get pv <pv-name>The status should beBound
. If the PV is in aReleased
orFailed
state, it may indicate issues with the underlying storage. -
If the PVC is used by a pod, check whether the pod has successfully mounted the volume:
kubectl get pod <pod-name> --namespace <namespace>
kubectl get pod <pod-name> --namespace <namespace>If the pod is in aRunning
state, it indicates that the PVC is mounted successfully. If the pod is in an error state (such asInitBackOff
), it might indicate issues with volume mounting. -
If there are issues with mounting the PVC, describe the pod to check for any mounting errors:
kubectl describe pod <pod-name> --namespace <namespace>
kubectl describe pod <pod-name> --namespace <namespace>
uipath-infra/istio-configure-script-cronjob
cronjob is in suspended state.
To fix this issue, enable the cronjob by taking the following steps:
export KUBECONFIG="/etc/rancher/rke2/rke2.yaml" && export PATH="$PATH:/usr/local/bin:/var/lib/rancher/rke2/bin"
kubectl -n uipath-infra patch cronjob istio-configure-script-cronjob -p '{"spec":{"suspend":false}}'
epoch=$(date +"%s")
kubectl -n uipath-infra create job istio-configure-script-cronjob-manual-$epoch --from=cronjob/istio-configure-script-cronjob
kubectl -n uipath-infra wait --for=condition=complete --timeout=300s job/istio-configure-script-cronjob-manual-$epoch
kubectl get node -o wide
#Verify if all the IP's listed by the above command are part of output of below command
kubectl -n istio-system get svc istio-ingressgateway -o json | jq '.spec.externalIPs'
export KUBECONFIG="/etc/rancher/rke2/rke2.yaml" && export PATH="$PATH:/usr/local/bin:/var/lib/rancher/rke2/bin"
kubectl -n uipath-infra patch cronjob istio-configure-script-cronjob -p '{"spec":{"suspend":false}}'
epoch=$(date +"%s")
kubectl -n uipath-infra create job istio-configure-script-cronjob-manual-$epoch --from=cronjob/istio-configure-script-cronjob
kubectl -n uipath-infra wait --for=condition=complete --timeout=300s job/istio-configure-script-cronjob-manual-$epoch
kubectl get node -o wide
#Verify if all the IP's listed by the above command are part of output of below command
kubectl -n istio-system get svc istio-ingressgateway -o json | jq '.spec.externalIPs'
- alertmanager.rules
- AlertmanagerConfigInconsistent
- AlertmanagerFailedReload
- AlertmanagerMembersInconsistent
- general.rules
- TargetDown
- Watchdog
- prometheus-operator
- PrometheusOperatorListErrors, PrometheusOperatorWatchErrors, PrometheusOperatorSyncFailed, PrometheusOperatorReconcileErrors, PrometheusOperatorNodeLookupErrors, PrometheusOperatorNotReady, PrometheusOperatorRejectedResources
- prometheus
- PrometheusBadConfig
- PrometheusErrorSendingAlertsToSomeAlertmanagers, PrometheusErrorSendingAlertsToAnyAlertmanager, PrometheusNotConnectedToAlertmanagers
- PrometheusNotificationQueueRunningFull, PrometheusTSDBReloadsFailing, PrometheusTSDBCompactionsFailing, PrometheusNotIngestingSamples, PrometheusDuplicateTimestamps, PrometheusOutOfOrderTimestamps, PrometheusRemoteStorageFailures, PrometheusRemoteWriteBehind, PrometheusRemoteWriteDesiredShards
- PrometheusRuleFailures
- PrometheusMissingRuleEvaluations
- PrometheusTargetLimitHit
- uipath.prometheus.resource.provisioning.alerts
- PrometheusMemoryUsage, PrometheusStorageUsage
- uipath.availability.alerts
- UiPathAvailabilityHighTrafficUserFacing
- backup
- NFSServerDisconnected
- VolumeBackupFailed
- BackupDisabled
- BackupPartiallyFailed
- cronjob-alerts
- CronJobSuspended
- IdentityKerberosTgtUpdateFailed