> For the complete documentation index, see [llms.txt](https://docs.datasentinel.io/manual/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datasentinel.io/manual/implementation/troubleshooting.md).

# Troubleshooting

- [Platform Diagnostics Tools](https://docs.datasentinel.io/manual/implementation/troubleshooting/platform-diagnostics-tools.md): Starting with version 2025.11, two new diagnostic scripts are available to help identify issues and assist the support team.
- [Unexpected Agent Termination](https://docs.datasentinel.io/manual/implementation/troubleshooting/unexpected-agent-termination.md): In some cases, the Agent may stop running without any visible error or warning.
- [Error message: “502 Bad Gateway”](https://docs.datasentinel.io/manual/implementation/troubleshooting/error-message-502-bad-gateway.md)
- [The UI is not displaying any metrics for my new instance.](https://docs.datasentinel.io/manual/implementation/troubleshooting/the-ui-is-not-displaying-any-metrics-for-my-new-instance..md)
- [UI dashboard is encountering loading errors](https://docs.datasentinel.io/manual/implementation/troubleshooting/ui-dashboard-is-encountering-loading-errors.md)
- [InfluxDB](https://docs.datasentinel.io/manual/implementation/troubleshooting/influxdb.md): InfluxDB is an open-source time series database used by Datasentinel to store collected metrics and manage data retention.
- [SELinux](https://docs.datasentinel.io/manual/implementation/troubleshooting/selinux.md): Security-Enhanced Linux (SELinux) is a Linux kernel security module that provides a mechanism for supporting access control security policies, including mandatory access controls (MAC).
- [NGINX](https://docs.datasentinel.io/manual/implementation/troubleshooting/nginx.md): NGINX sits at the edge of a Datasentinel deployment and acts as a reverse proxy. All inbound HTTPS traffic terminates at NGINX before being forwarded to the internal Datasentinel services.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.datasentinel.io/manual/implementation/troubleshooting.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
