- 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
- Managing products
- Getting Started with the Cluster Administration portal
- Migrating objectstore from persistent volume to raw disks
- Migrating data between objectstores
- Migrating in-cluster objectstore to external objectstore
- Configuring the FQDN post-installation
- Setting up Kerberos authentication
- Setting up Elasticsearch and Kibana
- Saving robot logs to Elasticsearch
- Forwarding application logs to Splunk
- 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
- Performing a 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
- How to work with certificates
- 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
- Failure to configure email alerts post upgrade
- Document Understanding not on the left rail of Automation Suite
- Failed status when creating a data labeling session
- Failed status when trying to deploy an ML skill
- Migration job fails in ArgoCD
- Handwriting recognition with intelligent form extractor not working
- Failed ML skill deployment due to token expiry
- 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
Forwarding application logs to Splunk
-
This section covers exporting POD logs. For exporting robot logs, see Ochestrator - About Logs.
-
Splunk is an external tool, and UiPath® does not have an opinion on how you should configure your Splunk setting. For more details about HTTP Event Collector, see Splunk official documentation.
The Splunk-Fluentd stack is a centralized logging solution that allows you to search, analyze, and visualize log data. Fluentd collects and sends the logs to Splunk. Splunk retrieves the logs and lets you visualize and analyze the data.
To configure Splunk, take the following steps:
- Select Settings in the top navigation bar, and then select Indexes.
- Select New Index and then Create an index.
- Select Settings in the top navigation bar, and then select Data inputs.
- Select HTTP Event Collector.
- To enable the new token creation, select Global Settings .
- Enable and save the Global Settings.
- To create the token, select New Token.
- Enter a name for the HTTP Event Collector and select Next.
- Select New and enter Source Type details.
- Scroll down and select Index from the available list of indexes, and select Next in the top navigation bar.
- Verify the data and select Submit.
- Once created, fetch the details of Token ID,Index,Source,Source Type. You need these values to set up ClusterOutput.
Create a Kubernetes secret with the HTTP Event Collector (HEC) token generated in the Splunk UI. This token is used for the authentication between Automation Suite and Splunk.
kubectl -n cattle-logging-system create secret generic splunk-hec-token --from-literal=splunk_hec_token=<splunk_hec_token>
kubectl -n cattle-logging-system create secret generic splunk-hec-token --from-literal=splunk_hec_token=<splunk_hec_token>
ClusterOutput
defines where your logs are sent to and describes the configuration and authentication details.
To configure the ClusterOutput for Splunk, run the following command:
kubectl -n cattle-logging-system apply -f - <<"EOF"
apiVersion: logging.banzaicloud.io/v1beta1
kind: ClusterOutput
metadata:
name: splunk-output
spec:
splunkHec:
buffer:
tags: '[]'
timekey: <splunk_hec_timekey>
timekey_use_utc: true
timekey_wait: 10s
type: file
hec_host: <splunk_hec_host>
hec_port: <splunk_hec_port>
hec_token:
valueFrom:
secretKeyRef:
key: splunk_hec_token
name: splunk-hec-token
index: <splunk_hec_index>
insecure_ssl: true
protocol: <splunk_hec_protocol>
source: <splunk_hec_source>
sourcetype: <splunk_hec_source_type>
EOF
kubectl -n cattle-logging-system apply -f - <<"EOF"
apiVersion: logging.banzaicloud.io/v1beta1
kind: ClusterOutput
metadata:
name: splunk-output
spec:
splunkHec:
buffer:
tags: '[]'
timekey: <splunk_hec_timekey>
timekey_use_utc: true
timekey_wait: 10s
type: file
hec_host: <splunk_hec_host>
hec_port: <splunk_hec_port>
hec_token:
valueFrom:
secretKeyRef:
key: splunk_hec_token
name: splunk-hec-token
index: <splunk_hec_index>
insecure_ssl: true
protocol: <splunk_hec_protocol>
source: <splunk_hec_source>
sourcetype: <splunk_hec_source_type>
EOF
< >
with the corresponding values used in your Splunk configuration. For details, see the following table:
Attribute |
Description |
---|---|
|
The network host of your Splunk instance. This is usually the IP address or FQDN of Splunk. |
|
The Splunk port for client communication. This port usually differs from the port on which you launch the Splunk dashboard.
The conventional HEC port for Splunk is
8088 .
|
|
The secret key of the Splunk token. This is the name of the key in the secret you created in the previous step, which holds Splunk HEC token. The presented manifest already contains the key:
splunk_hec_token . If you have not altered the command to create a secret, you do not need to change this value.
|
splunk_hec_timekey value in splunkHec.buffer |
The output frequency, or how often you want to push logs. We recommend using a 30-seconds (
30s ) interval.
|
|
The URL protocol. Valid values are
http and https . You must use HTTPS protocol if you have SSL communication enabled on Splunk.
|
|
The identifier for the Splunk index. Used to index events. |
|
The source field for events. |
|
The source type field for events. |
The following example is based on the configuration presented on this page.
ClusterFlow
to define:
- the logs you want to collect and filter;
- the
ClusterOutput
to send the logs to.
To configure ClusterFlow in Fluentd, run the following command:
kubectl -n cattle-logging-system apply -f - <<"EOF"
apiVersion: logging.banzaicloud.io/v1beta1
kind: ClusterFlow
metadata:
name: splunk-flow
namespace: cattle-logging-system
spec:
filters:
- tag_normaliser:
format: ${namespace_name}/${pod_name}.${container_name}
globalOutputRefs:
- splunk-output
match:
- select:
container_names:
- istio-proxy
namespaces:
- istio-system
- exclude:
container_names:
- istio-proxy
- istio-init
- aicenter-hit-count-update
- istio-configure-executor
- on-prem-tenant-license-update
- curl
- recovery
- aicenter-oob-scheduler
- cert-trustor
- exclude:
namespaces:
- fleet-system
- cattle-gatekeeper-system
- default
- exclude:
labels:
app: csi-snapshotter
- exclude:
labels:
longhorn.io/job-task: backup
- exclude:
labels:
app: csi-resizer
- select: {}
EOF
kubectl -n cattle-logging-system apply -f - <<"EOF"
apiVersion: logging.banzaicloud.io/v1beta1
kind: ClusterFlow
metadata:
name: splunk-flow
namespace: cattle-logging-system
spec:
filters:
- tag_normaliser:
format: ${namespace_name}/${pod_name}.${container_name}
globalOutputRefs:
- splunk-output
match:
- select:
container_names:
- istio-proxy
namespaces:
- istio-system
- exclude:
container_names:
- istio-proxy
- istio-init
- aicenter-hit-count-update
- istio-configure-executor
- on-prem-tenant-license-update
- curl
- recovery
- aicenter-oob-scheduler
- cert-trustor
- exclude:
namespaces:
- fleet-system
- cattle-gatekeeper-system
- default
- exclude:
labels:
app: csi-snapshotter
- exclude:
labels:
longhorn.io/job-task: backup
- exclude:
labels:
app: csi-resizer
- select: {}
EOF
If, for some reason, the application logs are not pushed to Splunk, take the following steps:
- Change the Fluentd log level to debug.
- Query the Fluentd
pod:
kubectl patch loggings.logging.banzaicloud.io rancher-logging-root --type=json -p '[{"op":"add","path":"/spec/fluentd/logLevel","value":debug}]' kubectl -n cattle-logging-system exec -it sts/rancher-logging-root-fluentd cat /fluentd/log/out
kubectl patch loggings.logging.banzaicloud.io rancher-logging-root --type=json -p '[{"op":"add","path":"/spec/fluentd/logLevel","value":debug}]' kubectl -n cattle-logging-system exec -it sts/rancher-logging-root-fluentd cat /fluentd/log/outNote: The Fluentd logs should indicate the cause of data not being pushed to Splunk. - After fixing the issue, restore the Fluentd log
level:
kubectl patch loggings.logging.banzaicloud.io rancher-logging-root --type=json -p '[{"op":"remove","path":"/spec/fluentd/logLevel"}]'
kubectl patch loggings.logging.banzaicloud.io rancher-logging-root --type=json -p '[{"op":"remove","path":"/spec/fluentd/logLevel"}]'