Known Issues and Workarounds
This page describes issues that may be encountered and potential solutions to those issues.
Last updated
This page describes issues that may be encountered and potential solutions to those issues.
Last updated
Deprecated Documentation
This document is deprecated and no longer supported. For accurate, up-to-date information, please refer to the documentation for the latest version of Trilio.
# Known Issues and Workarounds
If user has done all the configuration mentioned as per the Accessing the Management Console instructions and still not able to access the UI, check the Firewall Rules for the Kubernetes cluster nodes.
Here is an example to check firewall rules on the Google GKE cluster:
Search the VPC Network on GCP web console
Select `Firewall` option from the left pane
Search the rules with your Kubernetes cluster name
In the list of firewalls, verify:
Filters column - Shows the source IP which can access the T4K Management Console Hostname and NodePort
Protocols/Ports column - Shows the ports which are accessible on the cluster nodes.
Verify that the NodePort
assigned to service k8s-triliovault-ingress-gateway
is added in the firewall rules Protocols and Ports.
kubectl apply -f <backup_target.yaml>
is not successful and the resource goes into Unavailable
state.
Possible reasons for the target marked Unavailable
could be not having enough permissions or lack of network connectivity. Target resource creation launches a validation pod to check if Trilio can connect and write to the Target. Trilio then cleans the pod after the validation process completes, which clears any logs that the validation pod has. Users should repeat the same operation and actively check the logs on the validation pods.
Kubernetes
OpenShift
Please follow the following steps to analyze backup failures.
To troubleshoot backup issues, it is important to know the different phases of jobs.triliovault
pod.
<backupname>-snapshot
: Trilio leverages CSI snapshot functionality to take PV snapshots. If the backup fails in this step user should try a manual snapshot of the PV to make sure all required drivers are present, and that this operation works without Trilio.
<backupname>-upload
: In this phase, Trilio uploads metadata and data to the Target. If the backup fails in this phase, we need to look into the following logs for error.
Kubernetes
OpenShift
The most common reasons for restore failures are resource conflicts. Users may try to restore the backup to the same namespace where the original application and restored application have names conflict. Please check the logs to analyze the root cause of the issue.
Kubernetes
OpenShift
Webhooks are installed
Problem Description: If a Trilio operation is failing with an error Internal error occurred: failed
or service "k8s-triliovault-webhook-service" not found
Solution : This might be due to the installation of T4K in multiple Namespaces. Even a simple clean-up of those installations will not have webhook instances cleared. Please run the following commands to get all the webhooks instances.
Delete duplicate entries if any.
Restore Failed
Problem Description: If you are not able to restore an application into different namespace (OpenShift)
Solution: User may not have sufficient permissions to restore the application into the namespace.
Sometimes users may notice some Trilio pods go into OOMKilled state. This can happen in environments where a lot of objects exist for which additional processing power may be needed. In such scenarios, the memory and CPU limits can be bumped up by running the following commands:
Kubernetes
Please follow the API documentation to increase resource limits for Trilio pods deployed via the upstream Helm based Operator
OCP
Within OCP, the memory and CPU values for Trilio are managed and controlled by the Operator ClusterServiceVersion(CSV)
Users can either edit the Operator CSV YAML directly from within the OCP console or can patch the pods based on the snippets provided below.
The following snippet shows how to increase the memory value to 2048Mi for the web-backend
pod
The following snippet shows how to increase the CPU value to 800M for the web-backend
pod
To uninstall Trilio and start fresh, delete all Trilio CRD's.
On Kubernetes
On OpenShift