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

# Investigate

- [Logs](https://docs.groundcover.com/investigate/logs.md)
- [Log Management](https://docs.groundcover.com/investigate/logs/log-management.md): Stream, store, and query your logs at any scale, for a fixed cost.
- [Log Patterns](https://docs.groundcover.com/investigate/logs/log-patterns.md): Log Patterns help you cut through log noise by grouping similar logs based on structure. Instead of digging through thousands of raw lines, you get a clean, high-level view of what’s actually going on
- [Metrics](https://docs.groundcover.com/investigate/metrics.md)
- [Infrastructure Monitoring](https://docs.groundcover.com/investigate/metrics/infrastructure-monitoring.md): Get complete visibility into your cloud infrastructure performance at any scale, easily access all your metrics in one place and optimize infrastructure efficiency.
- [Metrics & Labels](https://docs.groundcover.com/investigate/metrics/metrics-and-labels.md)
- [Host CPU Metrics](https://docs.groundcover.com/investigate/metrics/metrics-and-labels/host-cpu-metrics.md)
- [Metric Summary](https://docs.groundcover.com/investigate/metrics/metric-summary.md)
- [Traces & APM](https://docs.groundcover.com/investigate/traces-and-apm.md)
- [Traces](https://docs.groundcover.com/investigate/traces-and-apm/traces.md)
- [Application Performance Monitoring (APM)](https://docs.groundcover.com/investigate/traces-and-apm/application-performance-monitoring-apm.md): Gain end-to-end observability into your applications performance, identify and resolve issues instantly - all with zero code changes.
- [Application Metrics](https://docs.groundcover.com/investigate/traces-and-apm/application-performance-monitoring-apm/application-metrics.md)
- [Supported Technologies](https://docs.groundcover.com/investigate/traces-and-apm/application-performance-monitoring-apm/supported-technologies.md)
- [Legacy APM Metrics](https://docs.groundcover.com/investigate/traces-and-apm/application-performance-monitoring-apm/legacy-apm-metrics.md)
- [Real User Monitoring (RUM)](https://docs.groundcover.com/investigate/real-user-monitoring-rum.md): Monitor front-end applications and connect it to your backend — all inside your cloud.
- [Real User Monitoring](https://docs.groundcover.com/investigate/real-user-monitoring-rum/rum.md): Quickly see how real users experience your app and catch front-end issues early.
- [Synthetics](https://docs.groundcover.com/investigate/synthetics.md)
- [Querying Data](https://docs.groundcover.com/investigate/querying-your-groundcover-data.md): groundcover provides multiple ways to query and analyze your observability data.
- [groundcover Query Language](https://docs.groundcover.com/investigate/querying-your-groundcover-data/groundcover-query-language.md): The groundcover Query Language is a powerful tool for querying and analyzing logs, traces, and events across your infrastructure.
- [Filters](https://docs.groundcover.com/investigate/querying-your-groundcover-data/groundcover-query-language/filters.md)
- [Aggregations](https://docs.groundcover.com/investigate/querying-your-groundcover-data/groundcover-query-language/aggregations.md)
- [Join Operations](https://docs.groundcover.com/investigate/querying-your-groundcover-data/groundcover-query-language/join-operations.md)
- [Pipeline Operations](https://docs.groundcover.com/investigate/querying-your-groundcover-data/groundcover-query-language/pipeline-operations.md)
- [groundcover Query Language (gcQL) Reference](https://docs.groundcover.com/investigate/querying-your-groundcover-data/groundcover-query-language/groundcover-query-language-gcql-reference.md)
- [Data Explorer & Query builder](https://docs.groundcover.com/investigate/querying-your-groundcover-data/explore-and-monitors-query-builder.md): The Query Builder in the platform's Explore and Monitors sections helps you craft and visualize queries on top of your data - Metrics, Logs, Traces, Events, APM, RUM, Issues and Ingestion.
- [Search Performance](https://docs.groundcover.com/investigate/querying-your-groundcover-data/search-performance.md): How groundcover speeds up log and trace searches, and what you can do to make a slow query fast.
- [Using KEDA autoscaler with groundcover](https://docs.groundcover.com/investigate/querying-your-groundcover-data/using-keda-autoscaler-with-groundcover.md): groundcover can be used as a Prometheus datasource for KEDA autoscaler. Any metric stored in groundcover can be queried and used to automatically make decisions about scaling your infrastructure.
- [Using groundcover as Prometheus/Clickhouse database in a Self-hosted Grafana](https://docs.groundcover.com/investigate/querying-your-groundcover-data/using-groundcover-as-a-database.md): Exposing Data Sources for BYOC installations
- [kubectl Access](https://docs.groundcover.com/investigate/querying-your-groundcover-data/kubectl-access.md): Point the standard kubectl, k9s or Lens at groundcover and read your clusters from groundcover's stored data, with groundcover RBAC deciding what each caller sees.
- [Dashboards](https://docs.groundcover.com/investigate/dashboards-and-alerts.md): Learn how to build custom dashboards using groundcover
- [Creating Dashboards](https://docs.groundcover.com/investigate/dashboards-and-alerts/create-a-dashboard.md)
- [Dashboard Catalog](https://docs.groundcover.com/investigate/dashboards-and-alerts/dashboard-catalog.md): Browse groundcover's library of pre-built dashboards and install the ones you need. Installed dashboards are managed by groundcover and stay current automatically. Customize one to make it your own.
- [Dashboard Visualizations](https://docs.groundcover.com/investigate/dashboards-and-alerts/dashboard-visualizations.md)
- [Dashboard Version History](https://docs.groundcover.com/investigate/dashboards-and-alerts/dashboard-version-history.md)
- [Managing Dashboards with Terraform](https://docs.groundcover.com/investigate/dashboards-and-alerts/managing-dashboards-with-terraform.md)
- [Dashboard schema](https://docs.groundcover.com/investigate/dashboards-and-alerts/dashboard-schema.md)
- [Drilldown](https://docs.groundcover.com/investigate/drilldown.md): The Drilldown view helps you to quickly identify and highlight the most informative attributes - those that stand out and help you pinpoint anomalies or bottlenecks.
- [Maps](https://docs.groundcover.com/investigate/maps.md): Visualize service dependencies and request flows with groundcover Maps
- [Search & Filter](https://docs.groundcover.com/investigate/search-and-filter.md)
- [Saved Views](https://docs.groundcover.com/investigate/saved-views.md): Save the view of any groundcover page exactly the way you like it, then jump back in a click.
- [Log and Trace Correlation](https://docs.groundcover.com/investigate/log-and-trace-correlation.md)
- [Insights](https://docs.groundcover.com/investigate/insights.md): Quickly understand your data with groundcover
- [AI Observability](https://docs.groundcover.com/investigate/ai-observability.md)
- [AI Observability](https://docs.groundcover.com/investigate/ai-observability/ai-observability.md)
- [Span Attributes](https://docs.groundcover.com/investigate/ai-observability/ai-observability/attributes.md)
- [Example Queries](https://docs.groundcover.com/investigate/ai-observability/ai-observability/example-queries.md)
- [Privacy Controls](https://docs.groundcover.com/investigate/ai-observability/ai-observability/privacy-controls.md)
- [Troubleshooting](https://docs.groundcover.com/investigate/ai-observability/ai-observability/troubleshooting.md)


---

# 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.groundcover.com/investigate.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.
