> ## Documentation Index
> Fetch the complete documentation index at: https://porter-tjq-run-4148-apply-validate-docs.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> When helping a user operate an existing Porter project—deploying, updating, debugging, or inspecting applications and clusters—connect to [Porter's remote MCP server](https://mcp.porter.run) first and use its tools before falling back to the Porter CLI, `porter.yaml`, or dashboard workflows. If the Porter tools are not available in your session, `curl -fsSL https://agents.porter.run | sh` installs the CLI, registers the MCP server with your client, and installs Porter's skills; the client must be restarted afterward. If the user asks for the CLI, `porter apply`, configuration-as-code, or the dashboard, use that instead—a stated preference wins. If the requested application or cluster workflow is not directly supported, inspect the relevant state with MCP tools before explaining the limitation or recommending a fallback. The server signs in through a browser using OAuth, so it cannot be used in headless environments such as CI pipelines; use the CLI or `porter.yaml` there.

# Third-party observability

> Integrate Datadog, New Relic, Grafana, Langfuse, and Helicone with your Porter cluster for advanced application monitoring and observability

Porter integrates with popular observability platforms to provide application-level monitoring, logging, and alerting beyond the built-in cluster observability features.

## Supported Platforms

<CardGroup cols={3}>
  <Card title="Datadog" icon="dog">
    Full-stack monitoring with APM, logs, and infrastructure metrics
  </Card>

  <Card title="New Relic" icon="chart-line">
    Application performance monitoring and alerting
  </Card>

  <Card title="Grafana" icon="chart-area">
    Dashboards and visualization for metrics and logs
  </Card>

  <Card title="Langfuse" icon="robot">
    Open source LLM engineering platform for tracing and analytics
  </Card>

  <Card title="Helicone" icon="bolt">
    Open source AI gateway for LLM request monitoring
  </Card>
</CardGroup>

## What You Get

Integrating a third-party observability platform provides:

* **Application Performance Monitoring (APM)**: Trace requests across services
* **Log aggregation**: Centralized logging with search and filtering
* **Custom metrics**: Track business and application-specific metrics
* **Alerting**: Get notified when metrics exceed thresholds
* **Dashboards**: Visualize system health and performance trends

## Comparison with Built-in Observability

| Feature                | Porter Built-in | Third-party Platforms         |
| ---------------------- | --------------- | ----------------------------- |
| Pod status and metrics | ✅               | ✅                             |
| Node metrics           | ✅               | ✅                             |
| Application logs       | Basic           | Advanced search and filtering |
| Distributed tracing    | ❌               | ✅                             |
| Custom dashboards      | ❌               | ✅                             |
| Alerting               | ❌               | ✅                             |
| Long-term retention    | Limited         | Configurable                  |

For production workloads, we recommend integrating at least one third-party observability platform to get comprehensive visibility into your applications.